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Soils data clipped to the Clear Lake NWR boundary. These are SSURGO soils from the USDA, Natural Resources Conservation Service.
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The Hydrology Point Feature Class defines natural/semi natual point hydrographic features (springs, seeps, tanks, guzzlers…) on RSL. The data for this point feature class was provided by the refuge.
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This is the SSURGO soils data from the USDA, NRCS, clipped to the boundary of Bear Valley NWR. Some of the attributes are included in this dataset, but not the entire database which is available from the NRCS. For full metadata, see this site: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/tx/home/?cid=nrcs142p2_053631
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This dataset depicts 10 foot contours derived from the USGS 1/3 arc second (10m) digital elevation model.
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Contours generated from 10m National Elevation Dataset and clipped to the boundary of Modoc National Wildlife Refuge.
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This dataset depicts vegetation and land cover for Klamath Marsh NWR. It was created using eCognition software and multiple sources of imagery. Field data were also collected at two different time to assist with image interpretation/classification. Details: This dataset was created by interpreting and classifying multiple image sources. These include: July 2005 2.5 meter Quickbird multispectral imagery, July 2005 ASTER 15 meter multispectral imagery, July 2006 Landsat 30 meter multispectral imagery, and December 2005 ASTER 15 meter multispectral imagery. Images were loaded into eCognition software which created polygons based on areas with similar image features. Statistics were then created for each polygon based...
From USFWS service description: "This data service identifies, in general, the areas where final critical habitat exist for species that are endangered or threatened. Special protections and/or restrictions are possible in areas where federal funding, permits, licenses, authorizations or actions occur or are required. Critical habitat are areas considered essential for the conservation of a listed species. These areas provide notice to the public and land managers the importance of these areas to the conservation of the species." The data can be downloaded in a shapefile, viewed on the Fish and Wildlife Service's map viewer, or accessed through a web service. It's also possible to view the data through the ScienceBase...
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The Hydrology Polygon Feature Class defines areas of open water features on RSL. The polygon feature class is composed of National Hydrography Dataset (NHD) Plus Polygons and where the NHD Plus layer was insufficient, water bodies were digitized from 2010 National Agricultural Inventory Program (NAIP) 10 meter aerial imagery.
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The Hydrology Polygon Feature Class defines areas of open water features on RSL. The polygon feature class is composed of National Hydrography Dataset (NHD) Plus Polygons and where the NHD Plus layer was insufficient, water bodies were digitized from 2010 National Agricultural Inventory Program (NAIP) 1 meter aerial imagery. Areas of open water are known to fluctuate based on rainfall and other factors, and therefore this dataset may not be accurate for other time periods.
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Soils data compiled from USDA, Natural Resources Conservation Service, SSURGO data, then clipped to the refuge boundary. Some of the attributes have been added to the dataset, but not the complete set. For additional attributes, consult the full SSURGO data. More information can be found here: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053631
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Vegetation and land cover data for Upper Klamath NWR. This dataset is based on interpretation of 2014 near-infrared imagery produced by the National Aerial Imagery Program of the U.S. Department of Agriculture with input on the general vegetation composition provided by local refuge staff. Field data at the species level were not available and further work is needed to refine this product to meet the convention of the National Vegetation Classification System. In addition, no validation was performed on this dataset.
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This dataset represents vegetation and landcover for Ruby Lake NWR. It was produced by the U.S. Fish and Wildlife Service, with field data collection provided by the University of Nevada, Reno. The process was iterative and took place over two calendar years and two field seasons. Additional data points were acquired in order to validate the map product and to develop a product that met a minimal accuracy level of 80%. The final classification is based on 2013 National Agricultural Imagery Program (NAIP) orthophotography, produced by the U.S. Department of Agriculture but additional datasets were also utilized, including a digital elevation model. The classification methodology uses a hybrid approach of pixel-based...
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This layer represents land cover classes mapped within the Modoc Wildlife Refuge. Mapping was completed using a combination of field data, object-based image analysis using Feature Analyst, and photo interpretation. Source data included 2005 CIR NAIP digital aerial photography, and Modoc National Wildlife Refuge data layers. Field data was collected by USFWS staff in May and June of 2007.
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This dataset depicts areas open to hunting on Ruby Lake NWR. Hunting is only allowed for the following: ducks (including mergansers), dark geese (including white-fronted and Canada geese), coots, common moorhens and snipe. All other species are prohibited from hunting within the refuge bounds.
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This dataset depicts hunt areas for San Pablo Bay National Wildlife Reuge. It was produced by digitizing maps provided by refuge staff.
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This dataset depicts management units for San Pablo Bay National Wildlife Reuge. It was produced by digitizing maps provided by refuge staff.
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The SSURGO database contains information about soil as collected by the National Cooperative Soil Survey over the course of a century. The information can be displayed in tables or as maps and is available for most areas in the United States and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS. The information was gathered by walking over the land and observing the soil. Many soil samples were analyzed in laboratories. The maps outline areas called map units. The map units describe soils and other components that have unique properties, interpretations, and productivity. The information was collected at scales ranging from 1:12,000 to 1:63,360. More details were gathered at a scale of 1:12,000...
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The Hydrology Point Feature Class defines natural/semi natual point hydrographic features (springs, seeps, tanks, guzzlers…) on RSL. The data for this point feature class was provided by the refuge.
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This dataset contains vegetation and land cover information for Antioch Dunes National Wildlife Refuge. It was created by visual interpretation and classification of aerial photography (National Agriculture Imagery Program) acquired in August 2014. Specifically, the NAIP imagery was segmented into polygons using eCognition Developer 9.0 software. Each segment was then classified by visually interpreting the aerial imagery. The interpretation process was facilitated by field data and geotagged field photos that were taken on the property in October 2014. No accuracy assessment was performed due to a limitation in the number of available ground control points.