<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="fgdc_classic.xsl"?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="http://water.usgs.gov/GIS/metadata/usgswrd/fgdc-std-001-1998.xsd">
	<idinfo>
		<citation>
			<citeinfo>
				<origin>Kerie J. Hitt</origin>
				<pubdate>2008</pubdate>
				<title>Enhanced National Land Cover Data 1992 revised with 1990 and 2000
population data to indicate urban development between 1992 and 2000 (NLCDep0306)
</title>
				<edition>Version 3, March 2006 (Supersedes NLCDep0905, Version 2, Sept 2005)</edition>
				<geoform>30-meter raster digital data</geoform>
					<pubinfo>
				<pubplace>Reston, VA</pubplace>
				<publish>U.S. Geological Survey</publish>
				</pubinfo>
				<onlink>http://water.usgs.gov/lookup/getspatial?nlcdep0306</onlink>
			</citeinfo>
		</citation>
		<descript>
			<abstract>

This 30-meter resolution raster data set of land cover for the
conterminous United States (&quot;NLCDep0306&quot;) was designed to
describe conditions representative of the year 2000 and is the
result of overlaying enhanced 1992 National Land Cover Data with
1990 and 2000 population data at the block group geographic
level. Any area (excluding water, developed land, or wetlands)
with population density of less than 1,000 people per square
mile in 1990 and at least 1,000 people per square mile in 2000
was reclassified as &quot;newly urbanized&quot; land in the derivative
product.  Areas of water, developed land, or wetlands existing
in the original national land-cover data set were preserved.

This data set supersedes the one called &quot;Enhanced National Land
Cover Data 1992 revised with 2000 population data to indicate
urban development between 1992 and 2000&quot; (&quot;NLCDep0905&quot;) dated
September 2005. NLCDep0905 coded any area having 2000 population
density of at least 1,000 people per square mile as being
recently urbanized and did not consider that the area could
already have been urbanized in 1990. The approach used in
developing NLCDep0905 was determined to have misclassified lands
that already were urban in 1990 as newly urbanized and therefore
overrepresented new urban land.
</abstract>
			<purpose>

The U.S. Geological Survey&apos;s (USGS) National Water-Quality
Assessment (NAWQA) Program uses nationally consistent land cover
to characterize environmental settings of stream and
ground-water sampling sites.  NAWQA uses areal weighting with
mapped land cover to refine the spatial distribution of various
quantitative data, especially nutrient inputs and pesticide
applications, which originally are compiled by county.

In 2005, NAWQA required nationally consistent land-cover data
representing the early 2000s to indicate changes in
urban/suburban land since the 1990s and to spatially allocate
nutrient and pesticide data derived using the 2002 Census of
Agriculture.

The NLCDep0306 data set was compiled from data sources existing
at that time as a stopgap measure to describe land cover in the
early 2000s for NAWQA stream sampling sites until the USGS
National Land Cover Database (NLCD) 2001 became available
nationwide.
</purpose>
			<supplinf>

DATA STRUCTURE:

The data is stored in four tiles, one for each of the quadrants
of the conterminous United States:

NLCDep0306_1 (northwest quadrant of the United States)

NLCDep0306_2 (northeast quadrant)

NLCDep0306_3 (southwest quadrant)

NLCDep0306_4 (southeast quadrant).

Each quadrant has two digital files, named as follows (where x =
1,2,3, or 4):

nlcdep0306_x.tif--GeoTIFF (georeferenced Tag Image Format
File) raster file of data

nlcdep0306_x.tfw--GeoTIFF &quot;World File&quot; containing the following
information for registering the image:

&gt;line 1:  x resolution
&gt;line 2:  amount of translation
&gt;line 3:  amount of rotation
&gt;line 4:  negative of the y resolution
&gt;line 5:  x ground coordinate of center of upper left pixel
&gt;line 6:  y ground coordinate of center of upper left pixel

Example world file for quadrant 3:

&gt;line 1:            30.00000000000000
&gt;line 2:             0.00000000000000
&gt;line 3:             0.00000000000000
&gt;line 4:           -30.00000000000000
&gt;line 5:      -2379990.00000000000000
&gt;line 6:       1874970.00000000000000

BACKGROUND:

The National Water-Quality Assessment (NAWQA) Program of the
U.S. Geological Survey (USGS) assesses the quality of streams,
ground water, and aquatic ecosystems across the Nation (Hamilton
and others, 2004).

The NAWQA Program requires nationally consistent land-cover data
to characterize environmental settings of stream and
ground-water sampling sites.  The primary source for mapped land
cover during the first decade of sampling by NAWQA (1991-2001)
was &quot;enhanced National Land Cover Data 1992&quot; (&quot;NLCDe 92&quot;)
(Nakagaki and others, 2007).  The NLCDe 92 was based primarily
on 1992 National Land Cover Data (&quot;NLCD 92&quot;) derived from
satellite imagery (U.S. Geological Survey, 1999). Nakagaki and
others (2007) produced NLCDe 92 by reclassifying NLCD 92 using
enhanced historical Land Use and Land Cover (LULC) (Price and
others, 2007).  The LULC data set originally was derived from
aerial photographs and better represents certain land cover
categories that are not well-depicted by satellite imagery
(Residential; Orchards, Groves, Vineyards, Nurseries, and
Ornamental Horticultural Areas; and Tundra.)

As water-quality sampling by the NAWQA Program progressed into a
second decade, a data set of land cover more up to date than
1992 was required, particularly to determine where land had
changed to suburban/urban since that year and to better match
the time period of quantitative data on agricultural chemical
use derived from the 2002 Census of Agriculture (U.S. Department
of Agriculture, 2004).  NLCD 2001 (Homer, 2004) was not
available nationwide at this time (2005). The strategy to fill
the requirement for 2000 land use was to refine NLCDe 92 using
1990 and 2000 population density to indicate urban areas.  The
approach was similar to that of Hitt (1994), which refined 1970s
land use data with 1990 population to indicate urban land
representative of the 1990s.  Hitt (1994) set the threshold for
urban land at 1,000 people per square mile in accordance with
how the U.S. Bureau of the Census defined &quot;Urbanized Areas&quot;
(U.S. Department of Commerce, Bureau of the Census, 1996).  The
same cutoff was used in developing NLCDep0306.

The assumptions for combining NLCDe 92 with 1990 and 2000
population data to indicate recent (early 2000s) urban
development were:

1) Most arable land in the United States already is cultivated,
so we assumed a negligible increase in agricultural land from
1992-2000.

2) The largest category of land use change from 1992 to 2000
would be conversion of agricultural land to suburban and urban
land.

3) The increase in suburban and urban land could be approximated
by the increase in population from 1990 to 2000.

The NLCDep0306 data set was created by reclassifying NLCDe 92
using 1990 and 2000 population density by Census block group.
Using population by block group overrepresents urbanized areas,
but spatial data at the more detailed block level were not
practical for processing at the resolution required.

Generalized boundaries of the 1990 and 2000 Census block groups
(U.S. Bureau of the Census, Geography Division, 1990 and 2001a)
were converted to grids with a 30-meter resolution to correspond
with the 30-meter raster national land cover data.  Each block
group had an associated 1990 or 2000 population density
calculated from the respective Census of population (U.S. Bureau
of the Census, 1991; Geolytics, 2001) as population of the block
group divided by land area of the block group. The 30-meter
block group boundaries were overlaid with the 30-meter
resolution NLCDe 92 land cover.

The decision rules for reclassifying land cover in the 30-meter
resolution combined land-cover/population grid follow:

1) Existing NLCDe 92 water, developed land, and wetlands were
preserved.  Recently urbanized land is defined as land areas
that were NOT considered &quot;urban&quot; in 1990 but ARE considered
&quot;urban&quot; in 2000 according to the population density cut off of
1,000 people per square mile (386 people per square kilometer).

2) Any 30-meter grid cell in NLCDe 92 that is not any of these
categories:

WATER-- Open Water

DEVELOPED LAND-- Low Intensity Residential, High Intensity
Residential, Commercial/Industrial/Transportation, LULC
Residential, NLCD/LULC Forested Residential, Urban/Recreational
Grasses

WETLANDS-- Woody Wetlands, Emergent Herbaceous Wetlands

FOREST-- Deciduous Forest, Evergreen Forest, Mixed Forest

was reclassified as &quot;Newly Urbanized Without Trees&quot; in
NLCDep0306 if the same 30x30-meter areas in the population
density grids have 1990 population density of less than 1,000
people per square mile and 2000 population density of at least
1,000 people per square mile or more.

3) Any 30-meter grid cell in the NLCDe 92 that is any of these
categories:

FOREST-- Deciduous Forest, Evergreen Forest, Mixed Forest

was reclassified as &quot;Newly Urbanized With Trees&quot; in NLCDep0306
if the corresponding 30x30-meter areas in the population density
grids have 1990 population density of less than 1,000 people per
square mile and 2000 population density of at least 1,000 people
per square mile or more.

4) Any 30-meter grid cell in NLCDe 92 regardless of land cover
was NOT changed if the same 30x30-meter area in the 2000
population grid has population density of less than 1,000 people
per square mile (area does not meet &quot;urban&quot; criteria for 2000)
or if the same area in the 1990 population grid has population
density of 1,000 people per square mile or more (area
considered to be urban already by 1990).

After the land cover and population were overlaid, the resulting
data set was clipped to the county boundaries and shoreline of
the conterminous United States.  Clipping to the
county/shoreline grid provided consistency for areal weighting
of county-based attributes, such as nutrient inputs, pesticide
applications, and other agricultural variables, to selected land
cover classes.

The 30-meter resolution clipping grid was derived by Jo Ann
Gronberg (USGS, written commun., 2005) from 2001 county
boundaries and a medium resolution coastline (National Oceanic
and Atmospheric Administration, 1994). The 1990 county
boundaries from 1:100,000-scale TIGER/Line data (U.S. Department
of Commerce, Bureau of the Census, 1993) were the base for the
2001 county boundaries for consistency with the county
boundaries used with NLCDe 92. The 1990 county boundaries and
codes were updated for changes between 1990 and 2000 using 2000
(U.S. Bureau of the Census, Geography Division, 2001b) and 2004
(U.S. Bureau of the Census, Geography Division, 2005) TIGER/Line
files.

The extents of valid data in the county/shoreline grid and the
land-cover grid differed slightly.  When overlaying these grids,
the following applied:

1) Any grid cell in the land-cover grid that extended beyond the
extent of the boundaries depicted by the county/shoreline grid
was removed from the final NLCDep0306. These mostly were cells
coded as &quot;Open Water.&quot;  Cells with valid county codes were not
removed.

2) Any grid cell with a valid county code in the
county/shoreline grid but with no land-cover code was coded
as &quot;Missing Data&quot; in the final NLCDep0306.

NLCDep0306 contains the following land-cover classifications,
including 25 categories from NLCDe 92, 2 new categories added to
indicate newly urbanized land (indicated by *), and 1 category
for &quot;Missing Data.&quot;  The full definitions follow the table.

&gt; NLCDep0306 Land-Cover Classes
&gt;(modified from NLCD and NLCDe 92 classifications)
&gt;
&gt; * indicates a new class created by overlaying NLCDe 92 and
&gt;   1990 and 2000 population density data.
&gt;
&gt;  CODE  Land-Cover Classification          Source of Definition
&gt;  ----- -------------------------------------------------------
&gt;      0 No Data (outside of conterminous U.S.)          NLCDe 92,NLCDep
&gt;     11 Open Water                                      NLCD 92
&gt;     12 Perennial Ice/Snow                              NLCD 92
&gt;     21 Low Intensity Residential                       NLCD 92
&gt;     22 High Intensity Residential                      NLCD 92
&gt;     23 Commercial/Industrial/Transportation            NLCD 92
&gt;     25 LULC Residential                                NLCDe 92
&gt;     26 NLCD/LULC Forested Residential                  NLCDe 92
&gt; *   27 Newly Urbanized Without Trees                   NLCDep
&gt; *   28 Newly Urbanized With Trees                      NLCDep
&gt;     31 Bare Rock/Sand/Clay                             NLCD 92
&gt;     32 Quarries/Strip Mines/Gravel Pits                NLCD 92
&gt;     33 Transitional                                    NLCD 92
&gt;     41 Deciduous Forest                                NLCD 92
&gt;     42 Evergreen Forest                                NLCD 92
&gt;     43 Mixed Forest                                    NLCD 92
&gt;     51 Shrubland                                       NLCD 92
&gt;     61 Orchards/Vineyards/Other                        NLCD 92
&gt;     62 LULC Orchards/Vineyards                         NLCDe 92
&gt;     71 Grasslands/Herbaceous                           NLCD 92
&gt;     72 LULC Tundra                                     NLCDe 92
&gt;     81 Pasture/Hay                                     NLCD 92
&gt;     82 Row Crops                                       NLCD 92
&gt;     83 Small Grains                                    NLCD 92
&gt;     84 Fallow                                          NLCD 92
&gt;     85 Urban/Recreational Grasses                      NLCD 92
&gt;     91 Woody Wetlands                                  NLCD 92
&gt;     92 Emergent Herbaceous Wetlands                    NLCD 92
&gt;     99 Missing Data                                    NLCDe 92,NLCDep

NLCDep0306 Classifications:

Below are the NLCDep0306 class codes and
definitions. Descriptions of the 21 NLCD 92 classifications are
from the USGS Land Cover Institute (LCI)
(http://landcover.usgs.gov/classes.php).  Descriptions of the
NLCDe 92 classifications are from Nakagaki and others (2007).

11. Open Water - areas of open water, generally with less than 25
percent cover of vegetation/land cover.

12. Perennial Ice/Snow - areas characterized by year-long
surface cover of ice and/or snow.

21. Low Intensity Residential - areas with a mixture of
constructed materials and vegetation. Constructed materials
account for 30-80 percent of the cover. Vegetation may account
for 20-70 percent of the cover. These areas most commonly
include single-family housing units. Population densities will
be lower than in high intensity residential areas.

22. High Intensity Residential - highly developed areas where
people reside in high numbers. Examples include apartment
complexes and row houses. Vegetation accounts for less than 20
percent of the cover. Constructed materials account for 80-100
percent of the cover.

23. Commercial/Industrial/Transportation - areas consisting of
infrastructure (e.g. roads, railroads, etc.) and all highly
developed areas not classified as &quot;High Intensity Residential.&quot;

25. LULC Residential - areas that were not classified in the
NLCD 92 as forest (&quot;Deciduous Forest,&quot; &quot;Evergreen Forest,&quot; or
&quot;Mixed Forest&quot;), water (&quot;Open Water,&quot; &quot;Woody Wetlands,&quot; or
&quot;Emergent Herbaceous Wetlands&quot;) or urban (&quot;Low Intensity
Residential,&quot; &quot;High Intensity Residential,&quot;
&quot;Commercial/Industrial/Transportation,&quot; &quot;Urban/Recreational
Grasses&quot;), and were classified as &quot;Residential&quot; in the LULC data
set.

26. NLCD/LULC Forested Residential - areas that were classified
in the NLCD 92 as &quot;Deciduous Forest,&quot; &quot;Evergreen Forest,&quot; or
&quot;Mixed Forest&quot; and as &quot;Residential&quot; in the LULC data set.

27. Newly Urbanized Without Trees - areas that were NOT
classified in the NLCDe 92 as water (&quot;Open Water&quot;), developed
(&quot;Low Intensity Residential,&quot; &quot;High Intensity Residential,&quot;
&quot;Commercial/Industrial/Transportation,&quot; &quot;LULC Residential,&quot;
&quot;NLCD/LULC Forested Residential,&quot; &quot;Urban/Recreational Grasses&quot;),
wetlands (&quot;Woody Wetlands,&quot; &quot;Emergent Herbaceous Wetlands&quot;), or
forest (&quot;Deciduous Forest,&quot; &quot;Evergreen Forest,&quot; or &quot;Mixed
Forest&quot;) and have 2000 population density of at least 1,000
people per square mile and 1990 population density of less than
1,000 people per square mile.

28. Newly Urbanized With Trees - areas that were classified in
the NLCDe 92 as forest (&quot;Deciduous Forest,&quot; &quot;Evergreen Forest,&quot;
or &quot;Mixed Forest&quot;) and have 2000 population density of at least
1,000 people per square mile and 1990 population density of less
than 1,000 people per square mile.

31. Bare Rock/Sand/Clay - perennially barren areas of bedrock,
desert pavement, scarps, talus, slides, volcanic material,
glacial debris, beaches, and other accumulations of earthen
material.

32. Quarries/Strip Mines/Gravel Pits - areas of extractive
mining activities with significant surface expression.

33. Transitional - areas of sparse vegetative cover (less than
25 percent of cover) that are dynamically changing from one land
cover to another, often because of land use activities. Examples
include forest clearcuts, a transition phase between forest and
agricultural land, the temporary clearing of vegetation, and
changes due to natural causes (e.g. fire, flood, etc.).

41. Deciduous Forest - areas dominated by trees where 75 percent
or more of the tree species shed foliage simultaneously in
response to seasonal change.

42. Evergreen Forest - areas dominated by trees where 75 percent
or more of the tree species maintain their leaves all
year. Canopy is never without green foliage.

43. Mixed Forest - areas dominated by trees where neither
deciduous nor evergreen species represent more than 75 percent
of the cover present.

51. Shrubland - areas characterized by shrubs; shrub canopy
accounts for 25-100 percent of the cover. Shrub cover is
generally greater than 25 percent when tree cover is less than
25 percent. Shrub cover may be less than 25 percent in cases
when the cover of other life forms (e.g. herbaceous or tree) is
less than 25 percent and shrubs cover exceeds the cover of the
other life forms.

61. Orchards/Vineyards/Other - orchards, vineyards, and other
areas planted or maintained for the production of fruits, nuts,
berries, or ornamentals.

62. LULC Orchards/Vineyards/Other - areas that were not already
classified as &quot;Orchards/Vineyards/Other,&quot; nor any of the water
or urban classifications in the NLCD 92 and as &quot;Orchards,
Groves, Vineyards, Nurseries, and Ornamental Horticultural
Areas&quot; in the LULC data set. (California, Oregon, Washington,
and Florida areas were excluded from reclassification to &quot;LULC
Orchards/Vineyards/Other&quot;).

71. Grasslands/Herbaceous - areas dominated by upland grasses
and forbs. In rare cases, herbaceous cover is less than 25
percent, but exceeds the combined cover of the woody species
present.  These areas are not subject to intensive management,
but they are often utilized for grazing.

72. LULC Tundra - areas that were classified in the NLCD 92 as
either &quot;Shrubland&quot; or &quot;Grasslands/Herbaceous&quot; and as &quot;Shrub and
Brush Tundra,&quot; &quot;Herbaceous Tundra,&quot; &quot;Bare Ground Tundra,&quot; &quot;Wet
Tundra,&quot; or &quot;Mixed Tundra&quot; in the LULC data set.

81. Pasture/Hay - areas of grasses, legumes, or grass-legume
mixtures planted for livestock grazing or the production of seed
or hay crops.

82. Row Crops - areas used for the production of crops, such as
corn, soybeans, vegetables, tobacco, and cotton.

83. Small Grains - areas used for the production of graminoid
crops such as wheat, barley, oats, and rice.

84. Fallow - areas used for the production of crops that do not
exhibit visible vegetation as a result of being tilled in a
management practice that incorporates prescribed alternation
between cropping and tillage.

85. Urban/Recreational Grasses - (areas of) vegetation
(primarily grasses) planted in developed settings for
recreation, erosion control, or aesthetic purposes. Examples
include parks, lawns, golf courses, airport grasses, and
industrial site grasses.

91. Woody Wetlands - areas where forest or shrubland vegetation
accounts for 25-100 percent of the cover and the soil or
substrate is periodically saturated with or covered with water.

92. Emergent Herbaceous Wetlands - areas where perennial
herbaceous vegetation accounts for 75-100 percent of the cover
and the soil or substrate is periodically saturated with or
covered with water.

99. Missing Data - areas within the county boundaries of the
conterminous United States that fell beyond the map extent of
the NLCD 92 and thus do not have land-cover codes. These areas
are generally along the U.S. borders and coastlines.

BACKGROUND REFERENCES:

Geolytics, Inc., 2001, CensusCD 2000 short form blocks: East
Brunswick, N.J., digital data on CDROM.

Hamilton, P.A., Miller, T.L., and Myers, D.N., 2004, Water
quality in the Nation&apos;s streams and aquifers--Overview of
selected findings, 1991-2001: U.S. Geological Survey Circular
1265, 20 p.

Hitt, K.J., 1994, Refining 1970&apos;s land-use data with 1990
population data to indicate new residential development:
U.S. Geological Survey Water-Resources Investigations Report
94-4250, 15 p.

Homer, C., Huang, C., Yang, L., Wylie, B., and Coan, M., 2004,
Development of a 2001 national land cover database for the
United States:  Photogrammetric Engineering and Remote Sensing,
vol. 70, no. 7, p. 829-840.

Nakagaki, N., Price, C.V., Falcone, J.A., Hitt, K.J., Ruddy, B.C.,
2007, Enhanced national land cover data 1992 (NLCDe 92), digital
data, accessed September 2005, at
http://water.usgs.gov/lookup/getspatial?nlcde92.

National Oceanic and Atmospheric Administration, National Ocean
Service, 1994, NOS80K/ALLUS80K medium-resolution digital vector
U.S. shoreline shapefile, accessed August 2005, at
http://coastalmap.marine.usgs.gov/GISdata/basemaps/coastlines/nos80k/allus80k.htm.
[ Currently (2008) available at
http://woodshole.er.usgs.gov/pubs/of2005-1048/data/basemaps/usa/nos80k/nos80k.htm ]

Price, C.V., Nakagaki, N., Hitt, K.J., Clawges, R.M., 2007,
Enhanced historical land-use and land-cover data sets of the
U.S. Geological Survey: U.S. Geological Survey Data Series 240,
accessed August 2007, at http://pubs.usgs.gov/ds/2006/240/.

U.S. Bureau of the Census, 1991, Census of population and
housing, 1990: Public Law 94-171 data (United States), [machine
readable data files]: Washington, DC, The Bureau [producer and
distributor].

U.S. Bureau of the Census, Geography Division, 1990,
Cartographic boundary files--Census 1990 block group, digital
data, accessed February 2003, at
http://www.census.gov/geo/www/cob/bg1990.html.

U.S. Bureau of the Census, Geography Division, 2001a,
Cartographic boundary files--Census 2000 block group, digital
data, accessed August 2002, at
http://www.census.gov/geo/www/cob/bg2000.html.

U.S. Bureau of the Census, Geography Division, 2001b, 2000
TIGER/Line files for Denver, CO (08031), Jefferson, CO (08059),
Adams, CO (08001), Arapahoe, CO (08005), Montgomery, MD (24031),
Gallatin, MT (30031), Bedford City, VA (51515), Covington, VA
(51580), Fairfax City, VA (51600), Franklin City, VA (51620),
Manassas Park City, VA (51685), and Waynesboro City, VA (51820),
digital files, accessed August 2005, at
http://www.census.gov/geo/www/tiger/index.html.

U.S. Bureau of the Census, Geography Division, 2005, 2004
TIGER/Line files for Broomfield, CO (08014), digital files,
accessed August 2005, at
http://www.census.gov/geo/www/tiger/index.html.

U.S. Department of Agriculture, 2004, 2002 Census of
Agriculture, Geographic area series, 1A and 1B, Washington, DC,
U.S. summary and county level data file: U.S. Department of
Agriculture, National Agricultural Statistics Service (NASS)
[producer and distributor]. [CD-ROM].

U.S. Department of Commerce, Bureau of the Census, 1993,
1:100,000-scale counties of the United States, digital map,
accessed September 2005, at
http://water.usgs.gov/lookup/getspatial?county100.

U.S. Department of Commerce, Bureau of the Census, 1996,
TIGER/Line Files, 1995 Technical Documentation: Bureau of the
Census, Washington, DC.

U.S. Geological Survey, 1999, National land cover data 1992,
digital files, accessed August 2005, at
http://landcover.usgs.gov/natllandcover.php.

APPLICATIONS

The NAWQA Program has used NLCDep0306 to summarize 2000 land use
percentages in watersheds.  In addition, NLCDep0306 was combined
with county boundaries and other ancillary data to improve the
spatial distribution of chemicals (nutrients and pesticides) and
agricultural practices applied to the land surface during the
timeframe of approximately 2000-2004.

LIMITATIONS

Newly urbanized areas indicated by NLCDep0905 and NLCDep0306
were spot checked with urbanized areas depicted by NLCDe 92 and
NLCD 2001 for several locations around the country (Thomas
Trombley, USGS, written commun., 2008). The locations were
1. Shrewsbury, Westborough, and Marlborough, MA; 2. Homewood,
AL; 3. Lawrence, KS; 4. Las Vegas, NV; and 5. Rapid City, SD.
Although the various national land cover data sets are not
directly comparable because of different methodolgies, they
still can be used qualitatively for visual inspection and
overall impression.

The visual comparisons showed that urban development depicted in
NLCD 2001 tends to be a proportional expansion around previously
urbanized areas. On the other hand, newly urbanized areas shown
in NLCDep0905 and NLCDep0306 often fill entire block
groups. Although NLCDep0306 is less extreme than NLCDep0905,
both data sets overestimate newly urbanized areas.

Areas indicated as forested in NLCDe 92 tend to be forested in
NLCD 2001 as well.  In contrast, the newly urbanized lands shown
in NLCDep0905 and NLCDep0306 include extensive areas that were
classified as forested in the NLCDe 92. However, to counteract
this limitation, users can distinguish the newly urbanized areas
previously classified as forested because these areas are coded
separately as &quot;Newly Urbanized With Trees.&quot;  Areas that were not
previously classified as forested are coded as &quot;Newly Urbanized
Without Trees.&quot;

Newly urbanized areas in NLCDep0905 and NLCDep0306 were based on
population data only, and population data alone do not
adequately address other types of urban development such as
commercial, industrial, and transportation.
</supplinf>
		</descript>
		<timeperd>
			<timeinfo>
				<sngdate>
					<caldate>2000</caldate>
				</sngdate>
			</timeinfo>
			<current>

The data set is intended to represent conditions in the early
2000s. However, the source data set NLCDe 92 was developed from
NLCD 1992, which was based on satellite imagery collected during
1986-1995, and from land use/land-cover data (LULC), which was
based on aerial photographs taken during the 1970s-1980s.
</current>
		</timeperd>
		<status>
			<progress>Complete</progress>
			<update>None planned</update>
		</status>
		<spdom>
			<bounding>
				<westbc>-128.307900</westbc>
				<eastbc>-65.143599</eastbc>
				<northbc>51.857938</northbc>
				<southbc>22.736542</southbc>
			</bounding>
		</spdom>
		<keywords>
			<theme>
				<themekt>None</themekt>
				<themekey>National Water Quality Assessment</themekey>
				<themekey>NAWQA</themekey>
				<themekey>land use</themekey>
				<themekey>land cover</themekey>
				<themekey>National Land Cover Data Set</themekey>
				<themekey>NLCD 1992</themekey>
				<themekey>NLCDe 92</themekey>
				<themekey>NLCDep</themekey>
				<themekey>GIRAS</themekey>
				<themekey>Geographic Information Retrieval and Analysis System</themekey>
				<themekey>Land use and Land Cover</themekey>
				<themekey>2000 Census of population</themekey>
				<themekey>1990 Census of population</themekey>
				<themekey>inlandWaters</themekey>
			</theme>
			<place>
				<placekt>None</placekt>
				<placekey>Conterminous United States</placekey>
			</place>
		</keywords>
		<accconst>none</accconst>
		<useconst>

Users should consider the methodology used in compiling this
data set, which involved combining input data from several
disparate sources, scales, and timeframes.  As described in the
Currentness_Reference, this data set was derived from data layers
dating as far back as the 1970s. Population data can only
approximate urban land cover. No ground verification was conducted
to determine the accuracy of the recently urbanized land
classification that was based on population density.

The resolution of the data set is appropriate for regional and
national analyses.
</useconst>
		<browse>
			<browsen>http://water.usgs.gov/GIS/browse/nlcdep0306.jpg</browsen>
			<browsed>

This is an image showing a national map of the 4 quadrants of
NLCDep0306 and the land-cover classes.
</browsed>
			<browset>JPEG</browset>
		</browse>
		<datacred>

U.S. Geological Survey scientists David K. Mueller, Naomi Nakagaki,
Barbara Ruddy, Jo Ann Gronberg, James Falcone, Gail Thelin, and
Curtis Price were instrumental in developing the assumptions used
to prepare this data set.

The author acknowledges and thanks Terri L. Arnold and Thomas J.
Trombley for their reviews of this data set and metadata.
</datacred>
		<native>
Microsoft Windows XP Version 5.1 (Build 2600)
Service Pack 2; ESRI ArcCatalog 9.2.1.1332
</native>
		<crossref>
			<citeinfo>
				<origin>Kerie J. Hitt</origin>
				<pubdate>2008</pubdate>
				<title>
Enhanced National Land Cover Data 1992 revised with 2000
population data to indicate urban development between 1992 and 2000 (NLCDep0905)
</title>
				<edition>Version 2, September 2005</edition>
				<geoform>30-meter raster digital data</geoform>
				<pubinfo>
					<pubplace>Reston, VA</pubplace>
					<publish>U.S. Geological Survey</publish>
				</pubinfo>
				<onlink>http://water.usgs.gov/lookup/getspatial?nlcdep0905</onlink>
			</citeinfo>
		</crossref>
		<crossref>
			<citeinfo>
				<origin>J.E. Vogelmann</origin>
				<origin>S.M. Howard</origin>
				<origin>L. Yang</origin>
				<origin>C.R. Larson</origin>
				<origin>B.K. Wylie</origin>
				<origin>N. Van Driel</origin>
				<pubdate>2001</pubdate>
				<title>
Completion of the 1990s National Land Cover Data Set for the
conterminous United States from Landsat Thematic Mapper data and
ancillary data sources
</title>
				<geoform>30-meter raster digital data</geoform>
				<serinfo>
					<sername>
Photogrammetric Engineering and Remote Sensing
Journal of the American Society for Photogrammetry and Remote Sensing
</sername>
					<issue>v. 67, no. 6, p. 650-662</issue>
				</serinfo>
				<othercit>http://landcover.usgs.gov/natllandcover.php</othercit>
				<onlink>http://www.asprs.org/publications/pers/2001journal/june/highlight.html</onlink>
			</citeinfo>
		</crossref>
	</idinfo>
	<dataqual>
		<logic>Not applicable to raster data.</logic>
		<complete>Complete for conterminous United States.</complete>
		<lineage>
			<srcinfo>
				<srccite>
					<citeinfo>
						<origin>Naomi Nakagaki</origin>
						<origin>Curtis V. Price</origin>
						<origin>James A. Falcone</origin>
						<origin>Kerie J. Hitt</origin>
						<origin>Barbara C. Ruddy</origin>
						<pubdate>200711</pubdate>
						<title>Enhanced National Land Cover Data 1992 (NLCDe 92)</title>
						<edition>1.0, 2005</edition>
						<geoform>raster digital data</geoform>
						<pubinfo>
							<pubplace>Sacramento, CA</pubplace>
							<publish>U.S. Geological Survey</publish>
						</pubinfo>
						<onlink>http://water.usgs.gov/lookup/getspatial?nlcde92</onlink>
					</citeinfo>
				</srccite>
				<typesrc>digital files</typesrc>
				<srctime>
					<timeinfo>
						<rngdates>
							<begdate>1986</begdate>
							<enddate>1995</enddate>
						</rngdates>
					</timeinfo>
					<srccurr>Publication date</srccurr>
				</srctime>
				<srccitea>NLCDe 92</srccitea>
				<srccontr>

This source provided land cover representative of the 1990s.
NLCDe 92 is the nationally-consistent source of mapped land
cover used by the USGS National Water-Quality Assessment
Program to analyze data collected during the first decade of
sampling from 1991-2001. NLCDe 92 has a 25-category land-cover
classification scheme and is available as 30-meter resolution
raster data. The NLCDe 92 was clipped to the U.S. boundary and
shoreline.

NLCDe 92 was reclassified according to a set of decision rules
using 2000 population density to indicate land that changed to
urban between 1992 and 2000.  The derivative land-cover data
set (NLCDep0306) has two additional land-cover classifications
for newly urbanized land.
</srccontr>
			</srcinfo>
			<srcinfo>
				<srccite>
					<citeinfo>
						<origin>GeoLytics, Inc.</origin>
						<pubdate>2001</pubdate>
						<title>CensusCD 2000 Short Form Blocks</title>
						<edition>1.0</edition>
						<geoform>proprietary digital data</geoform>
						<serinfo>
							<sername>CensusCD 2000</sername>
							<issue>Short Form Blocks</issue>
						</serinfo>
						<pubinfo>
							<pubplace>E. Brunswick, NJ</pubplace>
							<publish>GeoLytics, Inc.</publish>
						</pubinfo>
						<onlink>http://www.geolytics.com/census2000.htm</onlink>
					</citeinfo>
				</srccite>
				<typesrc>digital files on CDROM</typesrc>
				<srctime>
					<timeinfo>
						<sngdate>
							<caldate>2000</caldate>
						</sngdate>
					</timeinfo>
					<srccurr>2000 Census of Population and Housing</srccurr>
				</srctime>
				<srccitea>USPOP00</srccitea>
				<srccontr>

This source provided the tabular population and land area data
used in calculating 2000 population density for each block
group.  Population density in people per square kilometer was
calculated from the tabular input data as pop2000 / (arealand
/ 1000000), where arealand is expressed in square meters.  The
population data are keyed to the 2000 block group boundaries
using a block group identifier code.  The 2000 population
density values were used with 1990 population density to
reclassify certain land-cover categories as newly urbanized
land.

The GeoLytics product contains all Census Short Form
demographic data for over 8 million blocks from the 2000
U.S. Census of Population and Housing Summary File 1 (SF 1).
Summary File 1 (SF 1) contains the 100-percent data, which is
the information compiled from the questions asked of all
people and about every housing unit.  The GeoLytics product
provided software to extract the population and housing unit
data of interest in a format that could be imported into an
automated geographic information system at the desired
tabulation level.
</srccontr>
			</srcinfo>
			<srcinfo>
				<srccite>
					<citeinfo>
						<origin>U.S. Bureau of the Census, Geography Division</origin>
						<pubdate>200101</pubdate>
						<title>Cartographic boundary files--2000 Census Block Group</title>
						<edition>1.0</edition>
						<geoform>digital data</geoform>
						<serinfo>
							<sername>Cartographic boundary Files</sername>
							<issue>Block groups</issue>
						</serinfo>
						<onlink>http://www.census.gov/geo/www/cob/bg2000.html</onlink>
					</citeinfo>
				</srccite>
				<typesrc>digital files retrieved 8/20/2002</typesrc>
				<srctime>
					<timeinfo>
						<sngdate>
							<caldate>2000</caldate>
						</sngdate>
					</timeinfo>
					<srccurr>2000</srccurr>
				</srctime>
				<srccitea>USBG00</srccitea>
				<srccontr>

This source provided the generalized 2000 Census block group
boundaries in vector format. The block group geographic
boundaries are keyed to 2000 population density data by a
block group identifier code. For processing NLCDep0306, each
block group has an associated value of 2000 population density
(people per square kilometer), which was obtained from
Geolytics, Inc. (2001).

The block group boundaries were converted from vector
(polygon) format to grid format at a 30-meter resolution.

The cartographic boundary files are a generalized extract from
the U.S. Census Bureau&apos;s TIGER database. Line
simplification/smoothing was performed with a tolerance of
0.005 decimal degrees and a coordinate reduction using the
Douglas-Peucker method (1973) with a tolerance of 0.0003 decimal
degrees. Very small polygons were eliminated when the
combination of geographic codes existed elsewhere. The
geography was clipped back to the shoreline of the United
States, in contrast to TIGER/Line which shows the full extent
of geography out to the 3-mile limit.  Users of demographic
data would need these boundaries or another set of block group
boundaries such as the TIGER files to spatially represent
demographic data.  The population data is referenced to the
block group boundary by the block group identifier.

The generalized files have a much smaller file size than the
original file extraction from the Census Bureau&apos;s TIGER
data base, resulting in faster download and processing times.

The cartographic boundary files are primarily designed for small
scale, thematic mapping applications at a target scale range of
1:500,000 to 1:5,000,000.

Because of coordinate thinning:

1. Cartographic boundary files should not be used for geocoding;

2. Some offshore, redundant, zero population and housing land
areas may be absent from the cartographic boundary files;

3. Cartographic boundary files are not necessarily vertically
integrated with previous boundary file sets.

Reference cited

Douglas, D.H., and Peucker, T.K., 1973, Algorithms for the
reduction of the number of points required to represent a
digitized line or its caricature: The Canadian Cartographer
vol. 10, no. 2, pages 112-122.
</srccontr>
			</srcinfo>
			<srcinfo>
				<srccite>
					<citeinfo>
						<origin>U.S. Department of Commerce, U.S. Bureau of the Census</origin>
						<pubdate>1993</pubdate>
						<title>1:100,000-scale counties of the United States</title>
						<geoform>vector digital data</geoform>
						<onlink>http://water.usgs.gov/lookup/getspatial?county100</onlink>
					</citeinfo>
				</srccite>
				<typesrc>online</typesrc>
				<srctime>
					<timeinfo>
						<sngdate>
							<caldate>1990</caldate>
						</sngdate>
					</timeinfo>
					<srccurr>1990</srccurr>
				</srctime>
				<srccitea>county100</srccitea>
				<srccontr>

This data set furnished 1990 county boundaries and county
codes that were used to develop the 30-meter resolution grid
of 2000 county boundaries.  The 1990 county boundaries were
used as a starting point for consistency with the county grid
used to process data for NLCDe 92. County changes that had
occurred from 1990 to 2001 were obtained from 2000 TIGER/Line
(U.S. Bureau of the Census, Geography Division, 2001b) and 2004
TIGER/Line (U.S. Bureau of the Census, Geography Division,
2005) files.  The new linework and codes were incorporated
into the 1990 county boundaries to update the data to 2000.

The original county boundaries had no shorelines. The
boundaries of coastal counties extended into the ocean. The
county boundaries were combined with a medium resolution
shoreline (National Oceanic and Atmospheric Administration,
1994). The combined county/shoreline grid (CO2001G) was used
to clip the NLCDep0306 land-cover grids.
</srccontr>
			</srcinfo>
			<srcinfo>
				<srccite>
					<citeinfo>
						<origin>
National Oceanic and Atmospheric Administration (NOAA),
National Ocean Service (NOS), Office of Coast Survey, and the
Strategic Environmental Assessments (SEA) Division of the Office
of Ocean Resources Conservation and Assessment (ORCA)
</origin>
						<pubdate>1994</pubdate>
						<title>
NOS80K/ALLUS80K medium-resolution digital vector
U.S. shoreline shapefile
</title>
						<geoform>vector digital data</geoform>
						<onlink>http://woodshole.er.usgs.gov/pubs/of2005-1048/data/basemaps/usa/nos80k/nos80k.htm</onlink>
					</citeinfo>
				</srccite>
				<typesrc>online</typesrc>
				<srctime>
					<timeinfo>
						<rngdates>
							<begdate>1988</begdate>
							<enddate>1992</enddate>
						</rngdates>
					</timeinfo>
					<srccurr>1994</srccurr>
				</srctime>
				<srccitea>ALLUS80K</srccitea>
				<srccontr>

This is a 1:70,000-scale vector data set of the coastline of
the contiguous United States that was compiled from NOAA coast
charts.

The original county boundaries had no shorelines
(U.S. Department of Commerce, U.S. Bureau of the Census,
1993). The boundaries of coastal counties extended into the
ocean. The county boundaries were combined with the medium
resolution shoreline. The combined county/shoreline grid
(CO2001G) was used to clip the NLCDep0306 land-cover grids.
</srccontr>
			</srcinfo>
			<srcinfo>
				<srccite>
					<citeinfo>
						<origin>U.S. Bureau of the Census</origin>
						<pubdate>1991</pubdate>
						<title>Census of population and housing, 1990: Public Law 94-171 data (United States)</title>
						<geoform>tabular digital data</geoform>
						<pubinfo>
							<pubplace>Washington, DC</pubplace>
							<publish>U.S. Bureau of the Census</publish>
						</pubinfo>
					</citeinfo>
				</srccite>
				<typesrc>digital files on CDROM</typesrc>
				<srctime>
					<timeinfo>
						<sngdate>
							<caldate>1991</caldate>
						</sngdate>
					</timeinfo>
					<srccurr>1990 Census of Population and Housing</srccurr>
				</srctime>
				<srccitea>USPOP90</srccitea>
				<srccontr>

This source provided the tabular population and land area data
used in calculating 1990 population density for each block
group.  Population density in people per square kilometer was
calculated from the tabular input data as pop1990 / (arealand
/ 1000000), where arealand is square meters.  The population
data are keyed to the 1990 block group boundaries using a
block group identifier code.  The 1990 population density
values were used with 2000 population density to reclassify
certain land-cover categories as newly urbanized land.
</srccontr>
			</srcinfo>
			<srcinfo>
				<srccite>
					<citeinfo>
						<origin>U.S. Bureau of the Census, Geography Division</origin>
						<pubdate>199001</pubdate>
						<title>Cartographic boundary files--Census 1990 Block Group</title>
						<edition>1.0</edition>
						<geoform>digital data</geoform>
						<serinfo>
							<sername>Cartographic Boundary Files</sername>
							<issue>Block groups</issue>
						</serinfo>
						<onlink>http://www.census.gov/geo/www/cob/bg1990.html</onlink>
					</citeinfo>
				</srccite>
				<typesrc>digital files retrieved 2/14/2003</typesrc>
				<srctime>
					<timeinfo>
						<sngdate>
							<caldate>1990</caldate>
						</sngdate>
					</timeinfo>
					<srccurr>1990</srccurr>
				</srctime>
				<srccitea>USBG90</srccitea>
				<srccontr>

This source provided the generalized 1990 Census block group
boundaries in vector format. The block group geographic
boundaries are keyed to 1990 population density data by a
block group identifier code. For processing NLCDep0306, each
block group has an associated value of 1990 population density
(people per square kilometer), which was obtained from the
1990 Census of Population and Housing (U.S. Bureau of the
Census, 1991).

The block group boundaries were converted from vector
(polygon) format to grid format at 30-meter resolution.

The cartographic boundary files are a generalized extract from
the U.S. Census Bureau&apos;s TIGER database. Line
simplification/smoothing was performed with a tolerance of
0.005 decimal degrees and a coordinate reduction using the
Douglas-Peucker method (1973) with a tolerance of 0.0003 decimal
degrees. Very small polygons were eliminated when the
combination of geographic codes existed elsewhere. The
geography was clipped back to the shoreline of the United
States, in contrast to TIGER/Line which shows the full extent
of geography out to the 3-mile limit.  Users of demographic
data would need these boundaries or another set of block group
boundaries such as the TIGER files to spatially represent
demographic data.  The population data is referenced to the
block group boundary by the block group identifier.

The generalized files have a much smaller file size than the
original file extraction from the Census Bureau&apos;s TIGER
data base, resulting in faster download and processing times.

The cartographic boundary files are primarily designed for small
scale, thematic mapping applications at a target scale range of
1:500,000 to 1:5,000,000.

Because of coordinate thinning:

1. Cartographic boundary files should not be used for geocoding;

2. Some offshore, redundant, zero population and housing land
areas may be absent from the cartographic boundary files;

3. Cartographic boundary files are not necessarily vertically
integrated with previous boundary file sets.

Reference cited

Douglas, D.H., and Peucker, T.K., 1973, Algorithms for the
reduction of the number of points required to represent a
digitized line or its caricature: The Canadian Cartographer
vol. 10, no. 2, pages 112-122.
</srccontr>
			</srcinfo>
			<procstep>
				<procdesc>

The input data sets consist of 30-meter resolution ESRI
ArcInfo Workstation GRIDS of NLCDe 92 (1990 land cover), 1990
population density, and 2000 population density.  The NLCDe 92
is organized in 4 tiles, one for each quadrant of the
conterminous United States.  Each tile was overlaid with the
population density grids and four updated tiles of NLCDep0306
were produced.

The general procedure was to change the land-cover
classification of any area in the NLCDe 92 having 2000
population density equal to or greater than 1,000 people per
square mile (386 people per square kilometer) and 1990
population density less than 1,000 people per square mile to
&quot;newly urbanized land&quot; if the NLCDe 92 category is not water
(code 11), developed (codes 21, 22, 23, 25, 26, 85), or
wetlands (codes 91, 92).

If 2000 population density is equal to or greater than 1,000
people per square mile and 1990 population density is less
than 1,000 people per square mile and NLCDe 92 is forested
(codes 41, 42, 43), then the classification of the area was
changed to &quot;Newly Urbanized With Trees&quot; (code 28). If the 1990
and 2000 urban population cutoffs are met, but NLCDe 92 is not
forested, then the classification was changed to &quot;newly
urbanized without trees&quot; (code 27).

If the 2000 population density is less than 1,000 people per
square mile or the 1990 population density is at least 1,000
people per square mile, the original NLCDe 92 classification
was preserved regardless of the original classification.

The ArcInfo Workstation Grid commands that were used to modify
the NLCDe 92 land-cover classification codes to produce
NLCDep0306 are shown below.  The commands were run for each of
the 4 tiles of NLCDe 92.

First a grid of the &quot;urban change&quot; areas that meet the
population criteria is prepared for each tile.

&gt;/*Get areas that were NOT considered &quot;urban&quot; in 1990 but ARE considered &quot;urban&quot; in 2000
&gt;/*according to population density cut off of 386 people/km2 (1000 people/mi2)
&gt;/*usbg90g = 30-m resolution 1990 block group grid
&gt;/*usbg00g = 30-m resolution 2000 block group grid
&gt;/*uspop90.freq = table of 1990 population density by block group
&gt;/*uspop00.dat  = table of 2000 population density by block group
&gt;/*turbcg  = temporary urban change grid
&gt;/*nlcdeg  = 30-meter resolution NLCDe 92 quadrant grid (1-4)
&gt;/*nlcdepg = 30-meter resolution NLCDep0306 quadrant grid (output
&gt;            product)
&gt;/
&gt;&amp;args tile /*tile 1-4
&gt;&amp;set popdir d:/ancill/pop
&gt;setwindow c:/data/nlcde30m/nlcde4 %popdir%/usbg90g
&gt;setcell 30
&gt;/*Relate to tabular population density data to use the 30-m block group grids
&gt;/*instead of the 100-m population density grids
&gt;relate add
&gt;p1
&gt;d:/ancill/pop/uspop90.freq
&gt;info
&gt;bgi
&gt;bgi
&gt;ordered
&gt;rw
&gt;p2
&gt;d:/ancill/pop/uspop00.dat
&gt;info
&gt;bgi
&gt;bgi
&gt;ordered
&gt;rw
&gt;~
&gt;/*Get areas that were not &quot;urban&quot; in 1990 and are &quot;urban&quot; in 2000
&gt;/*Using 30-m block group grids with related tabular population density data
&gt;turbcg%tile% = con (%popdir%/usbg90g.p1//pdens lt 386 &amp; %popdir%/usbg00g.p2//pperkm2 ge 386,1,0)

Next the urban change grid is overlaid with the land cover
grid, and the land cover is reclassified in areas where the
urban change grid is coded recent urban.

&gt;%nlcdepg% = con(isnull(%turbcg%),%nlcdeg%,~ con(%turbcg% eq 1
&gt;    and isnull(%nlcdeg% in {11,21,22,23,25,26,85,91,92}), con
&gt;    (isnull(%nlcdeg% in {41,42,43}),27,28),%nlcdeg%))
</procdesc>
				<procdate>20060306</procdate>
			</procstep>
			<procstep>
				<procdesc>

To line up the land-cover data with the 30-meter 2001
county/shoreline grid (CO2001G), we clipped each NLCDep0306
land-cover tile to the county/shoreline and filled in areas of
NLCDep0306 without land-cover codes as missing data (code 99).

Missing data in the original NLCD 92 occurs in a northern
section of Cook county, MN (land) and in 10 other counties
along the shoreline (water).  These were recoded as 99.

&gt;FIPS   NUMBER OF  STATE COUNTY NAME
&gt;           CELLS
&gt;06025          1  CA    IMPERIAL
&gt;12087        454  FL    MONROE
&gt;26033          1  MI    CHIPPEWA
&gt;27031     20,342  MN    COOK
&gt;27071         50  MN    KOOCHICHING
&gt;27077          7  MN    LAKE OF THE WOODS
&gt;27137        400  MN    ST LOUIS
&gt;36019      1,782  NY    CLINTON
&gt;36033      2,285  NY    FRANKLIN
&gt;36045         37  NY    JEFFERSON
&gt;36089      2,341  NY    ST LAWRENCE

Clipping to the county/shoreline removed the band of
NLCDep0306 water cells that extended beyond the shoreline of
the county grid and some other NLCDep0306 land-cover
categories that extended beyond the county lines into Canada
or Mexico on land.  We did not remove NLCDep0306 cells that
fell within the county grid, but we recoded areas missing from
NLCDep0306 as missing data where the land-cover grid did not
extend out to the boundary cells of the county grid.  Cells
were coded as missing data mostly along the shoreline and
along the international border.

The ArcInfo Workstation Grid commands for clipping the land
cover to the 2001 county/shoreline grid and coding areas of
missing land-cover data as 99 are:

&gt;/*county_grid is the 30-meter resolution county/shoreline grid
&gt;/*nlcdep_orig is the 30-meter resolution unclipped NLCDep0306
&gt;  quadrant grid
&gt;/*nlcdep_with99 is the 30-meter clipped NLCDep0306 quadrant
&gt;grid
&gt;/*
&gt;setmask county_grid
&gt;nlcdep_with99 = con(isnull(nlcdep_orig),99,nlcdep_orig)

As a check, the cell counts for the final NLCDe 92 grids were
compared to the cell counts for the final NLCDep0306 grids to
verify that water, urban, and wetlands counts are the same.

&gt;   Input                   Output            Changes between
&gt; NLCDe92_1.vat           NLCDep0306_1.vat   input and output
&gt; VALUE      COUNT        VALUE      COUNT     COUNT  PERCENT
&gt;                                             CHANGE   CHANGE
&gt;    11   34562023           11   34562023         0     0.00
&gt;    12    1522059           12    1522046       -13     0.00
&gt;    21   10885977           21   10885977         0     0.00
&gt;    22     394874           22     394874         0     0.00
&gt;    23    6937250           23    6937250         0     0.00
&gt;    25    3270047           25    3270047         0     0.00
&gt;    26    2462687           26    2462687         0     0.00
&gt;    --                      27    1526131   1526131       na
&gt;    --                      28     392540    392540       na
&gt;    31   54768610           31   54748842    -19768    -0.04
&gt;    32    1012929           32    1005239     -7690    -0.76
&gt;    33   16999910           33   16992701     -7209    -0.04
&gt;    41   48638505           41   48535087   -103418    -0.21
&gt;    42  534717319           42  534536958   -180361    -0.03
&gt;    43   33122317           43   33013556   -108761    -0.33
&gt;    51  683048136           51  682821990   -226146    -0.03
&gt;    61    6499183           61    6409679    -89504    -1.38
&gt;    62     118726           62     116262     -2464    -2.08
&gt;    71  694633081           71  694154442   -478639    -0.07
&gt;    72   10121565           72   10121565         0     0.00
&gt;    81   95027214           81   94567710   -459504    -0.48
&gt;    82   97612033           82   97515917    -96116    -0.10
&gt;    83  147567073           83  147456218   -110855    -0.08
&gt;    84   76364429           84   76336206    -28223    -0.04
&gt;    85    1176224           85    1176224         0     0.00
&gt;    91    5148172           91    5148172         0     0.00
&gt;    92   19160876           92   19160876         0     0.00
&gt;
&gt;   Input                   Output            Changes between
&gt; NLCDe92_2.vat           NLCDep0306_2.vat   input and output
&gt; VALUE      COUNT        VALUE      COUNT     COUNT  PERCENT
&gt;                                             CHANGE   CHANGE
&gt;    11   44938928           11   44938928         0     0.00
&gt;    21   34396093           21   34396093         0     0.00
&gt;    22    9657233           22    9657233         0     0.00
&gt;    23   18037821           23   18037821         0     0.00
&gt;    25    4661354           25    4661354         0     0.00
&gt;    26    9272478           26    9272478         0     0.00
&gt;    --                      27    3266616   3266616     na
&gt;    --                      28    2197386   2197386     na
&gt;    31     703105           31     695006     -8099    -1.15
&gt;    32    2728102           32    2680450    -47652    -1.75
&gt;    33    5363057           33    5323744    -39313    -0.73
&gt;    41  403925959           41  402327422  -1598537    -0.40
&gt;    42   80534812           42   80368942   -165870    -0.21
&gt;    43  120896603           43  120463624   -432979    -0.36
&gt;    51    1842196           51    1841295      -901    -0.05
&gt;    61      53459           61      53043      -416    -0.78
&gt;    62    2044587           62    2025707    -18880    -0.92
&gt;    71   26457203           71   26396079    -61124    -0.23
&gt;    81  264694569           81  263381634  -1312935    -0.50
&gt;    82  567086957           82  565318879  -1768078    -0.31
&gt;    83   12737564           83   12728346     -9218    -0.07
&gt;    84      10749           84      10749         0     0.00
&gt;    85    8801165           85    8801165         0     0.00
&gt;    91   90147764           91   90147764         0     0.00
&gt;    92   33047052           92   33047052         0     0.00
&gt;    99      27245           99      27245         0     0.00
&gt;
&gt;   Input                   Output            Changes between
&gt; NLCDe92_3.vat           NLCDep0306_3.vat   input and output
&gt; VALUE      COUNT        VALUE      COUNT     COUNT  PERCENT
&gt;                                             CHANGE   CHANGE
&gt;    11    9212044           11    9212044         0     0.00
&gt;    12     166540           12     166513       -27    -0.02
&gt;    21    9738777           21    9738777         0     0.00
&gt;    22    2157643           22    2157643         0     0.00
&gt;    23    6959871           23    6959871         0     0.00
&gt;    25    3414225           25    3414225         0     0.00
&gt;    26     761633           26     761633         0     0.00
&gt;    --                      27    2531267   2531267       na
&gt;    --                      28     171294    171294       na
&gt;    31   64489598           31   64298310   -191288    -0.30
&gt;    32     953433           32     948540     -4893    -0.51
&gt;    33     231606           33     221580    -10026    -4.33
&gt;    41   26468976           41   26423042    -45934    -0.17
&gt;    42  221886647           42  221785559   -101088    -0.05
&gt;    43    8519702           43    8495430    -24272    -0.28
&gt;    51  860620187           51  859531397  -1088790    -0.13
&gt;    61    7351712           61    7279968    -71744    -0.98
&gt;    62     913194           62     859310    -53884    -5.90
&gt;    71  535229626           71  534740470   -489156    -0.09
&gt;    72    4520206           72    4520206         0     0.00
&gt;    81   50482686           81   50215969   -266717    -0.53
&gt;    82  110311711           82  110038980   -272731    -0.25
&gt;    83   91032136           83   90954003    -78133    -0.09
&gt;    84    3207950           84    3204072     -3878    -0.12
&gt;    85    1301625           85    1301625         0     0.00
&gt;    91     585785           91     585785         0     0.00
&gt;    92    1781561           92    1781561         0     0.00
&gt;    99          1           99          1         0     0.00
&gt;
&gt;   Input                   Output            Changes between
&gt; NLCDe92_4.vat           NLCDep0306_4.vat   input and output
&gt; VALUE      COUNT        VALUE      COUNT     COUNT  PERCENT
&gt;                                             CHANGE   CHANGE
&gt;    11   54483791           11   54483791         0     0.00
&gt;    21   36185928           21   36185928         0     0.00
&gt;    22   11176863           22   11176863         0     0.00
&gt;    23   18572480           23   18572480         0     0.00
&gt;    25    7724835           25    7724835         0     0.00
&gt;    26   12907261           26   12907261         0     0.00
&gt;    --                      27    3127290   3127290       na
&gt;    --                      28    3151285   3151285       na
&gt;    31    2373207           31    2334624    -38583    -1.63
&gt;    32    2673363           32    2650446    -22917    -0.86
&gt;    33   32200587           33   32098570   -102017    -0.32
&gt;    41  544016777           41  542672224  -1344553    -0.25
&gt;    42  273043885           42  271984660  -1059225    -0.39
&gt;    43  209863174           43  209115667   -747507    -0.36
&gt;    51   18724862           51   18623936   -100926    -0.54
&gt;    61    4626640           61    4519926   -106714    -2.31
&gt;    62    1670386           62    1661604     -8782    -0.53
&gt;    71  111337767           71  110956930   -380837    -0.34
&gt;    81  383239657           81  381797765  -1441892    -0.38
&gt;    82  313320000           82   31247446   -845532    -0.27
&gt;    83   44634786           83   44555696    -79090    -0.18
&gt;    84       8426           84       8426         0     0.00
&gt;    85    8769904           85    8769904         0     0.00
&gt;    91  149855203           91  149855203         0     0.00
&gt;    92   55300522           92   55300522         0     0.00
&gt;    99        454           99        454         0     0.00

The method used to produce the NLCDep0905 data set considered
any area having 2000 population density of at least 1,000
people per square mile as being recently urbanized.  The
NLCDep0905 approach was determined to have misclassified lands
that already were urban in 1990 as newly urbanized.  The
method used to produce NLCDep0306 was corrected for this and
resulted in a smaller area called newly urbanized than in
NLCDep0905, as shown by the cell counts below.

&gt;NLCDep0905_1.vat    NLCDep0306_1.vat           Changes
&gt;VALUE   COUNT       VALUE   COUNT           COUNT  PERCENT
&gt;                                           CHANGE   CHANGE
&gt;27    3418947          27 1526131        -1892816  -155.4
&gt;28    1107761          28  392540         -715221  -164.6
&gt;
&gt;
&gt;NLCDep0905_2.vat    NLCDep0306_2.vat           Changes
&gt;VALUE   COUNT       VALUE   COUNT           COUNT  PERCENT
&gt;                                           CHANGE   CHANGE
&gt;27    7572697         27  3266616        -4306081  -156.9
&gt;28    7698713         28  2197386        -5501327  -171.5
&gt;
&gt;
&gt;NLCDep0905_3.vat    NLCDep0306_3.vat           Changes
&gt;VALUE   COUNT       VALUE   COUNT           COUNT  PERCENT
&gt;                                           CHANGE   CHANGE
&gt;27    6033406         27  2531267        -3502139  -158.0
&gt;28    541139          28   171294         -369845  -168.3
&gt;
&gt;
&gt;NLCDep0905_4.vat    NLCDep0306_4.vat           Changes
&gt;VALUE   COUNT       VALUE   COUNT           COUNT  PERCENT
&gt;                                           CHANGE   CHANGE
&gt;27    6837650         27  3127290        -3710360  -154.3
&gt;28    7760650         28  3151285        -4609365  -159.4
</procdesc>
				<procdate>20060307</procdate>
			</procstep>
			<procstep>
				<procdesc>

The 4 tile grids were converted from ArcInfo Workstation GRIDs
to GeoTIFF images for distribution.  They were converted to
images using the ArcInfo Workstation Grid command &quot;gridimage&quot;
specifying colors using a color map file and compression using
packbits.

&gt;GRIDIMAGE c:/data/nlcdep30m_v1/nlcdep1 nlcdep0306.clr nlcdep0306_1 TIF COMPRESSION

The GeoTIFF image format allows red-green-blue (RGB) color values
to be assigned to the index values and stores them in the
TIFF image header.   The  index values correspond to the NLCDep0306
land-cover codes. The colors are used for displaying the values.

Here is the GeoTIFF colormap:

&gt;Value  Red  Green     Blue     Land-Cover Classification
&gt;00     000     000     000     No Data (outside of conterminous U.S.)
&gt;11     000     182     235     Open Water
&gt;12     240     240     241     Perennial Ice/Snow
&gt;21     251     222     229     Low Intensity Residential
&gt;22     242     133     173     High Intensity Residential
&gt;23     214     000     121     Commercial/Industrial/Transportation
&gt;25     224     175     198     LULC Residential
&gt;26     199     110     151     NLCD/LULC Forested Residential
&gt;27     143     000     176     Newly Urbanized Without Trees
&gt;28     176     000     156     Newly Urbanized With Trees
&gt;31     174     085     071     Bare Rock/Sand/Clay
&gt;32     191     147     134     Quarries/Strip Mines/Gravel Pits
&gt;33     136     082     050     Transitional
&gt;41     154     210     173     Deciduous Forest
&gt;42     000     145     070     Evergreen Forest
&gt;43     139     197     062     Mixed Forest
&gt;51     198     151     058     Shrubland
&gt;61     198     159     201     Orchards/Vineyards/Other
&gt;62     143     062     151     LULC Orchards/Vineyards/Other
&gt;71     233     209     174     Grasslands/Herbaceous
&gt;72     208     210     211     LULC Tundra
&gt;81     251     240     208     Pasture/Hay
&gt;82     254     246     156     Row Crops
&gt;83     251     174     022     Small Grains
&gt;84     254     211     000     Fallow
&gt;85     229     239     202     Urban/Recreational Grasses
&gt;91     152     214     219     Woody Wetlands
&gt;92     050     149     173     Emergent Herbaceous Wetlands
&gt;99     099     099     099     Missing land-cover data
</procdesc>
				<procdate>200805</procdate>
			</procstep>
		</lineage>
	</dataqual>
	<spdoinfo>
		<direct>Raster</direct>
		<rastinfo>
			<rasttype>Grid Cell</rasttype>
			<rowcount>44167 (NLCDep0306_1,NLCDep0306_2); 53833 (NLCDep0306_3,NLCDep0306_4)</rowcount>
			<colcount>73167 (NLCDep0306_1,NLCDep0306_3); 81666 (NLCDep0306_2,NLCDep0306_4)</colcount>
			<vrtcount>1</vrtcount>
		</rastinfo>
	</spdoinfo>
	<spref>
		<horizsys>
			<planar>
				<mapproj>
					<mapprojn>Albers Conical Equal Area</mapprojn>
					<albers>
						<stdparll>29.5</stdparll>
						<stdparll>45.5</stdparll>
						<longcm>-96.0</longcm>
						<latprjo>23.0</latprjo>
						<feast>0.0</feast>
						<fnorth>0.0</fnorth>
					</albers>
				</mapproj>
				<planci>
					<plance>row and column</plance>
					<coordrep>
						<absres>30.0</absres>
						<ordres>30.0</ordres>
					</coordrep>
					<plandu>meters</plandu>
				</planci>
			</planar>
			<geodetic>
				<horizdn>North American Datum of 1983</horizdn>
				<ellips>Geodetic Reference System 80</ellips>
				<semiaxis>6378137.000000</semiaxis>
				<denflat>298.257222</denflat>
			</geodetic>
		</horizsys>
	</spref>
	<eainfo>
		<detailed>
			<enttyp>
				<enttypl>GeoTIFF image pixel</enttypl>
				<enttypd>any of the data elements in the TIFF file</enttypd>
				<enttypds>USGS</enttypds>
			</enttyp>
			<attr>
				<attrlabl>GeoTIFF image value</attrlabl>
				<attrdef>
index value and numeric code representing
a land-cover classification
</attrdef>
				<attrdefs>USGS, National Land Cover Data Set 1992</attrdefs>
				<attrdomv>
					<edom>
						<edomv>0</edomv>
						<edomvd>No data</edomvd>
						<edomvds>

Value assigned during processing of NLCDep0306 - Any area
around the perimeter of the United States that falls
outside the extent of the county/shoreline grid was
classified as no data.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>11</edomv>
						<edomvd>Open Water</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>12</edomv>
						<edomvd>Perennial Ice/Snow</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>21</edomv>
						<edomvd>Low Intensity Residential</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>22</edomv>
						<edomvd>High Intensity Residential</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>23</edomv>
						<edomvd>Commercial/Industrial/Transportation</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>25</edomv>
						<edomvd>LULC Residential</edomvd>
						<edomvds>
Nakagaki, N., Price, C.V., Falcone, J.A., Hitt, K.J., Ruddy, B.,
2007, Enhanced national land cover data 1992 (NLCDe 92), digital
data, accessed September 2005, at
http://water.usgs.gov/lookup/getspatial?nlcde92.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>26</edomv>
						<edomvd>NLCD/LULC Forested Residential</edomvd>
						<edomvds>
Nakagaki, N., Price, C.V., Falcone, J.A., Hitt, K.J., Ruddy, B.,
2007, Enhanced national land cover data 1992 (NLCDe 92), digital
data, accessed September 2005, at
http://water.usgs.gov/lookup/getspatial?nlcde92.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>27</edomv>
						<edomvd>Newly Urbanized Without Trees</edomvd>
						<edomvds>
Value assigned during processing of NLCDep0306 -
Any area (excluding water, developed land, wetlands or
forest) with 2000 population density of at least 1,000
people per square mile and 1990 population density of less
than 1,000 people per square mile was reclassified as
&quot;Newly Urbanized Without Trees&quot; in the derivative product.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>28</edomv>
						<edomvd>Newly Urbanized With Trees</edomvd>
						<edomvds>
Value assigned during processing of NLCDep0306 -
Any area (excluding water, developed land, or wetlands)
that was forest in NLCDe 92 with 2000 population density of
at least 1,000 people per square mile and 1990 population
density of less than 1,000 people per square mile was
reclassified as &quot;Newly Urbanized With Trees&quot; in the
derivative product.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>31</edomv>
						<edomvd>Bare Rock/Sand/Clay</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>32</edomv>
						<edomvd>Quarries/Strip Mines/Gravel Pits</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>33</edomv>
						<edomvd>Transitional</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>41</edomv>
						<edomvd>Deciduous Forest</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>42</edomv>
						<edomvd>Evergreen Forest</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>43</edomv>
						<edomvd>Mixed Forest</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>51</edomv>
						<edomvd>Shrubland</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>61</edomv>
						<edomvd>Orchards/Vineyards/Other</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>62</edomv>
						<edomvd>LULC Orchards/Vineyards/Other</edomvd>
						<edomvds>
Nakagaki, N., Price, C.V., Falcone, J.A., Hitt, K.J., Ruddy, B.,
2007, Enhanced national land cover data 1992 (NLCDe 92), digital
data, accessed September 2005, at
http://water.usgs.gov/lookup/getspatial?nlcde92.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>71</edomv>
						<edomvd>Grasslands/Herbaceous</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>72</edomv>
						<edomvd>LULC Tundra</edomvd>
						<edomvds>
Nakagaki, N., Price, C.V., Falcone, J.A., Hitt, K.J., Ruddy, B.,
2007, Enhanced national land cover data 1992 (NLCDe 92), digital
data, accessed September 2005, at
http://water.usgs.gov/lookup/getspatial?nlcde92.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>81</edomv>
						<edomvd>Pasture/Hay</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>82</edomv>
						<edomvd>Row Crops</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>83</edomv>
						<edomvd>Small Grains</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>84</edomv>
						<edomvd>Fallow</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>85</edomv>
						<edomvd>Urban/Recreational Grasses</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>91</edomv>
						<edomvd>Woody Wetlands</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>92</edomv>
						<edomvd>Emergent Herbaceous Wetlands</edomvd>
						<edomvds>
Vogelmann, J.E., Howard, S.M., Yang, L., Larson, C.R.,
Wylie, B.K., and Van Driel, N., 2001, Completion of the
1990&apos;s National Land Cover Data Set for the conterminous
United States from Landsat Thematic Mapper data and
ancillary data sources: Photogrammetric Engineering and
Remote Sensing, v. 67, p. 650-662.
</edomvds>
					</edom>
				</attrdomv>
				<attrdomv>
					<edom>
						<edomv>99</edomv>
						<edomvd>Missing Data</edomvd>
						<edomvds>

Value assigned during processing of NLCDep0306 - Any area
around the perimeter of the United States within the extent
of the county/shoreline grid without a valid land-cover
code was classified as missing data.
</edomvds>
					</edom>
				</attrdomv>
			</attr>
		</detailed>
		<overview>
			<eaover>

The value is the land-cover classification code.  The
explanations of the land-cover codes are shown in the table
below. Full descriptions are in Supplemental_Information.

&gt;NLCDep0306 Land-Cover Classes (modified from NLCDe 92 classification)
&gt;
&gt; * indicates a new class created by overlaying NLCDe 92 and 1990/2000 population data.
&gt;
&gt;  VALUE Land-Cover Classification
&gt;------- -------------------------------------------------------
&gt;      0 No data (Outside conterminous United States)
&gt;     11 Open Water
&gt;     12 Perennial Ice/Snow
&gt;     21 Low Intensity Residential
&gt;     22 High Intensity Residential
&gt;     23 Commercial/Industrial/Transportation
&gt;     25 LULC Residential
&gt;     26 NLCE/LULC Residential
&gt; *   27 Newly Urbanized Without Trees
&gt; *   28 Newly Urbanized With Trees
&gt;     31 Bare Rock/Sand/Clay
&gt;     32 Quarries/Strip Mines/Gravel Pits
&gt;     33 Transitional
&gt;     41 Deciduous Forest
&gt;     42 Evergreen Forest
&gt;     43 Mixed Forest
&gt;     51 Shrubland
&gt;     61 Orchards/Vineyards/Other
&gt;     62 LULC Orchards/Vineyards
&gt;     71 Grasslands/Herbaceous
&gt;     72 LULC Tundra
&gt;     81 Pasture/Hay
&gt;     82 Row Crops
&gt;     83 Small Grains
&gt;     84 Fallow
&gt;     85 Urban/Recreational Grasses
&gt;     91 Woody Wetlands
&gt;     92 Emergent Herbaceous Wetlands
&gt;     99 Missing Data (but within county boundaries)
</eaover>
			<eadetcit>

Descriptions of the 21 NLCD 92 classifications are from USGS
Land Cover Institute (LCI)
(http://landcover.usgs.gov/classes.php).

Descriptions of the NLCDe 92 classifications are from Nakagaki
and others (2007).
</eadetcit>
		</overview>
	</eainfo>
	<distinfo>
		<distrib>
			<cntinfo>
				<cntorgp>
					<cntorg>U.S. Geological Survey</cntorg>
				</cntorgp>
				<cntpos>Ask USGS -- Water Webserver Team</cntpos>
				<cntaddr>
					<addrtype>Mailing address</addrtype>
					<address>445 National Center</address>
					<city>Reston</city>
					<state>VA</state>
					<postal>20192</postal>
					<country>USA</country>
				</cntaddr>
				<cntvoice>1-888-275-8747 (1-888-ASK-USGS)</cntvoice>
				<cntemail>http://water.usgs.gov/user_feedback_form.html </cntemail>
			</cntinfo>
		</distrib>
		<distliab>

Although this data set has been used by the U.S. Geological Survey,
U.S. Department of the Interior, no warranty expressed or implied
is made by the U.S. Geological Survey as to the accuracy of the
data and related materials.  The act of distribution shall not
constitute any such warranty, and no responsibility is assumed by
the U.S. Geological Survey in the use of this data, software, or
related materials.

Any use of trade, product, or firm names is for descriptive purposes
only and does not imply endorsement by the U.S. Government.

Although this Federal Geographic Data Committee-compliant metadata
file is intended to document the data set in nonproprietary form,
this metadata file may include some vendor-specific terminology.
</distliab>
		<stdorder>
			<digform>
				<digtinfo>
					<formname>GeoTIFF</formname>
					<formcont>
Categorical raster data
for northwest quadrant of the United States
</formcont>
					<filedec>ZIP-format archive</filedec>
					<transize>365513 KB</transize>
				</digtinfo>
				<digtopt>
					<onlinopt>
						<computer>
							<networka>
								<networkr>http://water.usgs.gov/GIS/dsdl/nlcdep0306_1.zip</networkr>
							</networka>
						</computer>
					</onlinopt>
				</digtopt>
			</digform>
			<digform>
				<digtinfo>
					<formname>GeoTIFF</formname>
					<formcont>
Categorical raster data
for northeast quadrant of the United States
</formcont>
					<filedec>ZIP-format archive</filedec>
					<transize>345788 KB</transize>
				</digtinfo>
				<digtopt>
					<onlinopt>
						<computer>
							<networka>
								<networkr>http://water.usgs.gov/GIS/dsdl/nlcdep0306_2.zip</networkr>
							</networka>
						</computer>
					</onlinopt>
				</digtopt>
			</digform>
			<digform>
				<digtinfo>
					<formname>GeoTIFF</formname>
					<formcont>
Categorical raster data
for southwest quadrant of the United States
</formcont>
					<filedec>ZIP-format archive</filedec>
					<transize>283883 KB</transize>
				</digtinfo>
				<digtopt>
					<onlinopt>
						<computer>
							<networka>
								<networkr>http://water.usgs.gov/GIS/dsdl/nlcdep0306_3.zip</networkr>
							</networka>
						</computer>
					</onlinopt>
				</digtopt>
			</digform>
			<digform>
				<digtinfo>
					<formname>GeoTIFF</formname>
					<formcont>
Categorical raster data
for southeast quadrant of the United States
</formcont>
					<filedec>ZIP-format archive</filedec>
					<transize>537187 KB</transize>
				</digtinfo>
				<digtopt>
					<onlinopt>
						<computer>
							<networka>
								<networkr>
http://water.usgs.gov/GIS/dsdl/nlcdep0306_4.zip
</networkr>
							</networka>
						</computer>
					</onlinopt>
				</digtopt>
			</digform>
			<fees>None.  This data set is provided by USGS as a public service.</fees>
		</stdorder>
	</distinfo>
	<metainfo>
		<metd>20080605</metd>
		<metc>
			<cntinfo>
				<cntorgp>
					<cntorg>U.S. Geological Survey</cntorg>
				</cntorgp>
				<cntpos>Ask USGS -- Water Webserver Team</cntpos>
				<cntaddr>
					<addrtype>mailing address</addrtype>
					<address>445 National Center</address>
					<city>Reston</city>
					<state>VA</state>
					<postal>20192</postal>
					<country>USA</country>
				</cntaddr>
				<cntvoice>1-888-275-8747 (1-888-ASK-USGS)</cntvoice>
				<cntemail>http://water.usgs.gov/user_feedback_form.html</cntemail>
			</cntinfo>
		</metc>
		<metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>
		<metstdv>FGDC-STD-001-1998</metstdv>
	</metainfo>
</metadata>
