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The Interagency Vegetation Mapping Project (IVMP) provides maps of existing vegetation, canopy cover, size, and cover type for the entire range of the Northern Spotted Owl using satellite imagery from the Landsat Thematic Mapper (TM). This area is commonly called the FEMAT area, in reference to the area's analysis by the Forest Ecosystem Management Assessment Team. A regression modeling approach was used to predict vegetation characteristics from this Landsat data. This process involved the use of numerous sources of ancillary data, the most crucial being USFS, BLM, and Forest Inventory and Analysis (FIA) plot field data and plot photo interpreted information. This data served as training data in the regression...
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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 vegetation and landcover at a broad scale for Tule Lake National Wildlife Refuge. It was created through interpretation of aerial imagery (NAIP orthophotography) acquired in August 2014 by the USDA. Ecognition software was then used to create segments of the imagery and those segments were manually classified by a GIS Analyst with the help of refuge biologists and staff with expert knowledge of the local conditions. The GIS Analyst also made a reconnaissance trip to the area in the fall of 2014 to assist with image interpretation. No systematically collected field data were available to create a classification at a finer level, such as the Alliance or Associate level and so this product does...


    map background search result map search result map USFS and BLM Interagency Vegetation Mapping Project Vegetation and Landcover, Tule Lake NWR Landcover and Vegetation, Ruby Lake NWR Land Cover, Modoc National Wildlife Refuge Land Cover, Modoc National Wildlife Refuge Landcover and Vegetation, Ruby Lake NWR Vegetation and Landcover, Tule Lake NWR USFS and BLM Interagency Vegetation Mapping Project