Steven Sobieszczyk 2011 raster digital data http://water.usgs.gov/lookup/getspatial?fannoCk_lndcvr_09 Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland metropolitan area. The stream is heavily influenced by urban runoff and shows characteristic flashy streamflow and poor water quality commonly associated with urban streams. This data set represents the floodplain land cover as derived from light detection and ranging (LiDAR) data and aerial photographic imagery. The land cover classifications represent current conditions (2009). This data set was developed as part of an USGS carbon study that examines sources of carbon-rich organic material along Fanno Creek. In order to quantify how much material enters the stream, the different river and floodplain features needed to be defined. In this data set the land cover was defined in order to represent the location, extent, and type of vegetation available within the Fanno Creek floodplain. None. 2009 ground condition Complete None planned -129.351779 -109.448056 55.265926 39.745375 None floodplain creek land cover USGS inlandWaters land use vegetation mixed forest evergreen urban water None Fanno Creek Tualatin River Oregon None. None. U.S. Geological Survey Steven Sobieszczyk Hydrologist mailing and physical address

2130 SW 5th Ave

Portland OR 97201 USA 1-503-251-3208 1-503-251-3470 ssobie@usgs.gov http://water.usgs.gov/GIS/browse/fannoCk_lndcvr_09.gif Illustration of land cover classifcation for Fanno Creek, Oregon GIF The U.S. Geological Survey should be acknowledged as the data source in products derived from these data. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.4000 U.S. Geological Survey 2011 vector digital data http://water.usgs.gov/lookup/getspatial?fannoCk_fldpln U.S. Geological Survey 2011 vector digital data http://water.usgs.gov/lookup/getspatial?fannoCk_active_chnl U.S. Geological Survey 2011 raster digital data http://water.usgs.gov/lookup/getspatial?fannoCk_ndvi_09 U.S. Geological Survey 2011 vector digital data http://water.usgs.gov/lookup/getspatial?fannoCk_solid_samples U.S. Geological Survey 2011 vector digital data http://water.usgs.gov/lookup/getspatial?fannoCk_stm_cntr_ln U.S. Geological Survey 2011 vector digital data http://water.usgs.gov/lookup/getspatial?fannoCk_water_samples Kappa statistics were run on the land use classification using 35 randomly generated points. The observed agreement was 71%, chance agreement was 21%, and the Kappa coefficient was 64%. NAIP imagery from 2009 was used to verify that the mapping was reasonable. Data are complete. Data set manually derived from 1-meter resolution light detection and ranging (LiDAR) data and 0.5-meter resolution aerial imagery. Land cover features were interpreted and digitized at a scale of 1:1,000. Mapped accuracy +/- 5 meters. Watershed Sciences, Inc. Oregon Department of Geology and Mineral Industries 2009 raster digital data http://www.oregongeology.org/sub/projects/olc/default.htm hard drive 2009 ground condition LiDAR1 Oregon Department of Geology and Mineral Industries and Watershed Sciences, Inc., 2009, LiDAR of Western Oregon and the Willamette Valley: digital data set courtesy of Ian Madin, available via external hard drive [digital data set] Watershed Sciences, Inc. Oregon Department of Geology and Mineral Industries 2009 raster digital data http://www.oregongeology.org/sub/projects/olc/default.htm hard drive 2009 ground condition LIDAR2 Oregon Department of Geology and Mineral Industries and Watershed Sciences, Inc., 2009, LiDAR of Portland: digital data set courtesy of Ian Madin, available via external hard drive [digital data set] Geospatial Enterprise Office 2009 raster digital data http://oregonexplorer.info/imagery/ online 2009 ground condition NAIP Base image for interpretation INTERGOVERNMENTAL AERIAL PHOTO CONSORTIUM 2005 raster digital data hard drive 2005 ground condition LEAFON Base image for interpretation INTERGOVERNMENTAL AERIAL PHOTO CONSORTIUM 2005 raster digital data hard drive 2005 ground condition LEAFOFF Base image for interpretation Digitizing: Paths, roads, urban areas, and bridges seen in LiDAR and NAIP imagery were outlined using a polyline feature class. The outline was drawn to represent the urban areas as seen at a scale of 1:1,000. LiDAR1 LiDAR2 NAIP 20110822 Digitizing: Areas of open grass (golf course), wetlands, and agricultural lands seen in NAIP imagery were outlined using a polyline feature class. The outline was drawn to represent the different land use types seen at a scale of 1:1,000. NAIP 20110823 Digitizing: Using comparative analysis, plots of coniferous trees (evergreens) seen in leaf on and leaf off aerial imagery were outlined using a polyline feature class. The outline was drawn to separate evergreen forest from mixed forest areas. LEAFON LEAFOFF 20110824 Using differential analysis, the bare earth LiDAR was subtracted from the highest hit LiDAR to produce a differential elevation raster. Ground features (elevation less than 2 feet) were removed from elevation raster, therefore, leaving only above-ground features (trees, shrubs, buildings). LiDAR1 LiDAR2 20110824 Buildings and urban features were removed from elevation raster using urban area feature class digitizing. 20110825 Elevation raster was reclassified based on vegetation height. Areas were classified as tree (greater than 9 feet) or shrub/scrub (less than 9 feet). 20110825 Each data set was overlain to form a composite land cover classification. For example, areas mapped as trees from the elevation raster that corresponded with areas mapped as coniferous forest were classified as coniferous forest. Conversely, areas mapped as shrub/scrub in elevation raster or mapped as grass that intersected areas mapped as coniferous forest were mapped as shrub/scrub or grass. 20110829 Final land cover classification was compared against NAIP imagery to verify accuracy. NAIP 20110829 Raster Lambert Conformal Conic HARN 44.333333 46.00000 -120.500000 43.666667 8202099.73753281 0 row and column 3.000000 3.000000 feet North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 VAT_fannoCk_lndcvr_09 Land Cover Classificaiton for Fanno Creek USGS OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Value Coded land cover value corresponding to National Land Cover Dataset (NLCD) classification. USGS, EPA (http://www.epa.gov/mrlc/classification.html) 11 Water USGS 23 Urban/Impervious USGS 42 Coniferous Forest USGS 43 Mixed Forest USGS 52 Shrub/Scrub USGS 71 Grass USGS 81 Agricultural Land USGS 90 Wooded Wetland USGS Count Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Red Color ramp color scale (Red). USGS 0 255 Green Color ramp color scale (Green). USGS 0 255 Blue Color ramp color scale (Blue). USGS 0 255 Descript Land Cover Description. USGS Open Water USGS Urban/Impervious USGS Coniferous Forest USGS Mixed Forest USGS Shrub/Scrub USGS Grass USGS Agricultural Land USGS Wooded Wetland USGS SQMI Land cover extent in square miles. USGS Area calculated from data set areal measurement. Acres Land cover extent in acres. USGS Area calculated from data set areal measurement. Values define land cover type and extent. N/A U.S. Geological Survey Ask USGS -- Water Webserver Team mailing address

445 National Center

Reston VA 20192 USA 1-888-275-8747 (1-888-ASK-USGS) http://water.usgs.gov/user_feedback_form.html Downloadable Data Although these data have 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. 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 these data, software, or related materials. The use of firm, trade, or brand names in this report is for identification purposes only and does not constitute endorsement by the U.S. Geological Survey. The names mentioned in this document may be trademarks or registered trademarks of their respective trademark owners. shapefile PKZIP compression Winzip 1000 http://water.usgs.gov/GIS/dsdl/fannoCk_lndcvr_09.zip None. This dataset is provided by USGS as a public service. 2009 20110404 U.S. Geological Survey Ask USGS -- Water Webserver Team mailing address

445 National Center

Reston VA 20192 USA 1-888-275-8747 (1-888-ASK-USGS) http://answers.usgs.gov/cgi-bin/gsanswers?pemail=h2oteam&subject=GIS+Dataset+fannoCk_lndcvr_09 FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998