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Mapping moderate-scale land-cover over very large geographic areas within a collaborative framework: A case study of the Southwest Regional Gap Analysis Project (SWReGAP) Land-cover mapping efforts within the USGS Gap Analysis Program have traditionally been state-centered; each state having the responsibility of implementing a project design for the geographic area within their state boundaries. The Southwest Regional Gap Analysis Project (SWReGAP) was the first formal GAP project designed at a regional, multi-state scale. The project area comprises the southwestern states of Arizona, Colorado, Nevada, New Mexico, and Utah. The land-cover map/dataset was generated using regionally consistent geospatial data (Landsat ETM+ imagery (1999-2001) and DEM derivatives), similar field data collection protocols, a standardized land-cover legend, and a common modeling approach (decision tree... Categories: Publication; Types: Citation; Tags: Collaborative projects, Decision tree classifiers, Gap Analysis Program (GAP), Geographic Information Systems, Land-cover mapping, All tags... Large-area mapping, Meso-scale mapping, Moderate scale mapping, Remote sensing, Southwestern U.S., Vegetation mapping, Fewer tags Mapping moderate-scale land-cover over very large geographic areas within a collaborative framework: A case study of the Southwest Regional Gap Analysis Project (SWReGAP) Land-cover mapping efforts within the USGS Gap Analysis Program have traditionally been state-centered; each state having the responsibility of implementing a project design for the geographic area within their state boundaries. The Southwest Regional Gap Analysis Project (SWReGAP) was the first formal GAP project designed at a regional, multi-state scale. The project area comprises the southwestern states of Arizona, Colorado, Nevada, New Mexico, and Utah. The land-cover map/dataset was generated using regionally consistent geospatial data (Landsat ETM+ imagery (1999–2001) and DEM derivatives), similar field data collection protocols, a standardized land-cover legend, and a common modeling approach (decision... Categories: Publication; Types: Citation, Journal Citation; Tags: Collaborative projects, Decision tree classifiers, Gap Analysis Program (GAP), Geographic Information System (GIS), Land-cover mapping, All tags... Large-area mapping, Meso-scale mapping, Moderate scale mapping, Remote Sensing of Environment, Remote sensing, Southwestern United States, Vegetation mapping, Fewer tags Mississippi National River and Recreation Area: 2012 True Color Aerial Mosaic Digital aerial imagery provides baseline data for mapping vegetation types and other land cover features. Vertical photographs (photographs taken with the aerial camera pointed straight down at the ground) collected with proper overlapping within each flight line permit an interpreter to study the photographs three-dimensionally with a stereoscope (Avery 1978) or, as with the Mississippi National River and Recreation Area (MISS) vegetation mapping project, to view stereo models of digital aerial images in three dimensions (3D) using computer workstations. Because ecologic settings are taken into account when mapping vegetation types, the ability to view the aerial images in 3D assists the recognition of those ecologic... Categories: Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: MISS, Minnesota, Mississippi National River and Recreation Area, Mississippi River, Upper Mississippi River, All tags... aerial imagery, true color, vegetation mapping, Fewer tags