"This data layer represents the National Land Cover Database 2001 - Imperviousness in the Russian River watershed. Features from the original source data (see Originator information) were selected based on their spatial location within the Russian River watershed in Sonoma and Mendocino counties in California (the study area boundary of the Russian River Watershed Adaptive Management Plan project). This metadata file incorporates new information to the metadata of the original source data. This new information is indicated in quotation marks." The National Land Cover Database 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer et al. (2003) and http://www.mrlc.gov/mrlc2k.asp. The NLCD 2001 was created by partitioning the U.S. into mapping zones. A total of 66 mapping zones were delineated within the conterminous U.S. based on ecoregion and geographical characteristics, edge matching features and the size requirement of Landsat mosaics. Mapping zone 03 encompasses a portion of the state of California. Questions about the NLCD mapping zone 03 can be directed to the NLCD 2001 land cover mapping team at the National Center, EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.
The goal of this project is to provide the Nation with complete, current and consistent public domain information on its land use and land cover. "This data layer was edited from its original source data set for inclusion in the Russian River Watershed Adaptive Management Plan (RRWAMP) and RRWAMP Baseline Watershed Assessment project. The intended use of this data layer in this project is to examine landscape or human factors to promote ecological health and sustainability within the Russian River watershed."
Corner Coordinates (center of pixel, projection meters) Upper Left Corner: -2367970 meters(X), 2608670 meters(Y) Lower Right Corner: -2152150 meters(X), 1914680 meters(Y)
ground condition
"The user assumes the entire risk related to the use of this data. The developers of this project shall not have any liability to any person or entity with respect to loss or damage caused or alleged to be caused directly or indirectly by information contained in this file. The developers of this project make no warranty, expressed or implied, nor does the fact of distribution of this data constitute such warranty. This data is not for navigational purposes or for use in litigation. In all cases, the user should refer to the original source data and metadata for accuracy, currentness and appropriate contact information."
National Center, EROS
47914 252nd Street
The USGS point of contact is for questions relating to the data display and download from this web site. For questions regarding data content and quality, refer to: http://www.mrlc.gov/mrlc2k.asp or email: mrlc@usgs.gov
U.S. Geological Survey
The information on data quality for mapping zone 03 was generated by the Regression Tree algorithm that conducts a cross-validation for assessing classification and prediction reliability. No formal independent accuracy assessment of mapping zone 03 imperviousness has been made. The regression tree algorithm employed in NLCD 2001 mapping offers a cross-validation option for assessing classification and prediction reliability. Cross-validation can provide relatively reliable estimates for imperviousness predictions if the reference data used for cross-validation are collected based on a statistically valid sampling design. For mapping zone 03 imperviousness modeling, a 5-fold cross-validation was conducted by dividing the entire training data set into 5 subsets of equal size. For each model run, an accuracy estimate was derived using one subset to evaluate the model prediction (with the model developed using the remaining training samples). This process was repeated 5 times. After all 5 runs, an average value of all accuracy estimates from the 5 runs was computed. Users should be cautioned that these cross-validation results provide users with only first-order estimates of data quality, and should not be considered a formal accuracy assessment.
The above listed value is the overall accuracy obtained for imperviousness data in the cross-validation study for mapping zone 03.
The method employed to map percent imperviousness for NLCD 2001 mapping zone 03 consists of three key steps: deriving reference data of imperviousness from the high spatial resolution images, calibrating density prediction models using reference data and Landsat spectral bands, and extrapolating the developed models spatially to map per-pixel imperviousness.
This NLCD product of mapping zone 03 Imperviousness layer is the version dated 09-01-2003.
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The method employed to map percent imperviousness for NLCD 2001 mapping zone 03 consists of three key steps: deriving reference data of imperviousness from the high spatial resolution images, calibrating density prediction models using reference data and Landsat spectral bands, and extrapolating the developed models spatially to map per-pixel imperviousness. This method is described in detail in Yang et al. (2003). This method was applied to mapping zone 03 by Earth Satellite Corporation.
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To develop adequate training data for impervious estimation, 19 DOQQ's across the mapping zone with a nominal spatial resolution of 1-m were classified into either pervious or non-pervious surfaces, and then summed within each 30 meter Landsat pixel cell to obtain percentage of imperviousness. Training data were selected based on the degree of variance each training data set possesses with regards to Landsat ETM+ imagery used for mapping. Each added training data set decreased the amount of variance present within the Landsat data as a whole. The selection process was repeated until the amount of variance explained reached a pre-defined threshold. By combining the training data with Landsat spectral data and other ancillary data, percent imperviousness prediction models were developed using a regression tree algorithm (named "Cubist"). All data layers used as input for running the Cubist in order to establish the prediction model for imperviousness are listed in the "Supplemental Information" section. Three ancillary data sets were used for urban/suburban delineation masking, which is essential to confine the imperviousness mapping within the developed areas. After the best combination of possible input data layers had been determined and the final percent impervious layer produced, the urban mask created was used to eliminate those pixels from the final percent impervious file that fall outside identified impervious surface areas. Thus, the impervious pixels identified within the mask were retained, while all non-impervious surface pixels were removed from the final product. This corrected for any small areas of pixels that may have been included as part of the impervious surface layer because their spectral signature was not covered in the Cubist modeling process. Finally, visual inspection of imperviousness layer was made with limited manual editing to eliminate non-urban areas based on area of interest delineated by the mapping team. Acquisition dates of Landsat ETM+ (TM) scenes used for land cover classification in zone 03 are as follows: SPRING- Index 1 for Path 44/Row 33 on 04/23/01 = Scene_ID 7044033000111350 Index 2 for Path 44/Row 34 on 04/20/00 = Scene_ID 7044034000011150 Index 3 for Path 45/Row 31 on 04/14/01 = Scene_ID 7045031000110450 Index 4 for Path 45/Row 32 on 03/26/00 = Scene_ID 7045032000008650 Index 4 for Path 45/Row 33 on 03/26/00 = Scene_ID 7045033000008650 Index 5 for Path 46/Row 30 on 05/07/01 = Scene_ID 7046030000112750 Index 5 for Path 46/Row 31 on 05/07/01 = Scene_ID 7046031000112750 Index 6 for Path 46/Row 32 on 04/02/00 = Scene_ID 7046032000009350 LEAF ON (Summer)- Index 1 for Path 44/Row 33 on 07/28/01 = Scene_ID 7044033000120950 Index 2 for Path 44/Row 34 on 06/10/01 = Scene_ID 7044034000116150 Index 3 for Path 45/Row 31 on 06/17/01 = Scene_ID 7045031000116850 Index 3 for Path 45/Row 32 on 06/17/01 = Scene_ID 7045032000116850 Index 4 for Path 45/Row 33 on 08/17/00 = Scene_ID 7045033000023050 Index 5 for Path 46/Row 30 on 07/26/01 = Scene_ID 7046030000120750 Index 5 for Path 46/Row 31 on 07/26/01 = Scene_ID 7046031000120750 Index 5 for Path 46/Row 32 on 07/26/01 = Scene_ID 7046032000120750 Index 6 for Path 46/Row 32 on 07/23/00 = Scene_ID 7046032000020550 LEAF-OFF (Fall)- Index 1 for Path 44/Row 33 on 10/13/00 = Scene_ID 7044033000028750 Index 2 for Path 44/Row 34 on 09/30/01 = Scene_ID 7044034000127350 Index 3 for Path 45/Row 31 on 11/08/01 = Scene_ID 7045031000131250 Index 3 for Path 45/Row 32 on 11/08/01 = Scene_ID 7045032000131250 Index 3 for Path 45/Row 33 on 11/08/01 = Scene_ID 7045033000131250 Index 4 for Path 46/Row 30 on 08/27/01 = Scene_ID 7046030000123950 Index 4 for Path 46/Row 31 on 08/27/01 = Scene_ID 7046031000123950 Landsat data and ancillary data used for the imperviousness prediction - Data Type of DEM composed of 1 band and a Continuous Variable Type. Data Type of Slope composed of 1 band and a Continuous Variable Type. Data Type of Aspect composed of 1 band of Categorical Variable Type. Data type of Position Index composed of 1 band of Continuous Variable Type. Ancillary data used for urban area masking include: 1. NOAA Defense Meteorological Satellite Program 1 km city light data (1 band) 2. MRLC 1992 classification (1 band) 3. TIGER 2000 roads (1 band)
National Center, EROS
47914 252nd Street
The USGS point of contact is for questions relating to the data display and download from this web site. Questions about the NLCD mapping zone 03 can be directed to the NLCD 2001 land cover mapping team at the National Center, EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.
"This data layer was created for the Russian River Watershed Adaptive Management Plan (RRWAMP) and RRWAMP Baseline Watershed Assessment project through minor editing to the original source data. Data were merged (zones 3,4,5,6,12,13) clipped to the project study area using ESRI's ArcGIS GeoProcessing tools; and renamed to the current file name."
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Percent Imperviousness
NLCD 2001
A nominal integer value that designates the number of pixels that have each value in the file; histogram column in ERDAS Imagine raster attributes table
NLCD 2001
Internal feature number.
ESRI
Attributes defined by USGS and ESRI.
Attribute accuracy is described, where present, with each attribute defined in the Entity and Attribute Section. Note: To ensure all areas of mapping zone 03 are completely covered, a 3,000 meter (100 Landsat pixels) buffer was added to the boundary of mapping zone 03.
National Center, EROS
47914 252nd Street
The USGS point of contact is for questions relating to the data display and download from this web site. Questions about the NLCD mapping zone 03 can be directed to the NLCD 2001 land cover mapping team at the National Center, EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.
Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made by the USGS regarding the use of the data on any other system, nor does the act of distribution constitute any such warranty. Data may have been compiled from various outside sources. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification. The USGS shall not be liable for any activity involving these data, installation, fitness of the data for a particular purpose, its use, or analyses results.
ASCII
download from http://www.russianriverwatershed.net/Content/10006/GISDataforDownload.html
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47914 252nd Street