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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the minimum air temperature (degrees C) for December, January, and February using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical winter temperatures in the decade centered on 2060 rather than the actual temperatures during 2060. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the minimum air temperature (degrees C) for December, January, and February using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical winter temperatures in the decade centered on 2080 rather than the actual temperatures during 2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED...
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High resolution vegetation polygons mapped by the National Park Service. The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to develop a uniform hierarchical vegetation mapping methodology and classification at a national level and apply it to National Parks. The purpose of the data is to document the state of vegetation on Mt. Wanda at the John Muir National Historic Site during 2004, thereby providing a snapshot of conditions to assist in future monitoring and management. The vegetation units of this map were determined through visual interpretation of aerial photographs supported by field sampling. The vegetation...
Tags: Vegetation
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LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, GPS positioning and inertial measurement technologies; LiDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation.
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LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, GPS positioning and inertial measurement technologies; LiDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation.
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The purpose of this dataset is to display the physical boundaries of Fire Management Zones within the U.S. Fish & Wildlife Service, Pacific Southwest Region.
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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.


map background search result map search result map Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2060, RCP4.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2080, RCP4.5, Ensemble GCM Results John Muir National Historic Site Vegetation Mapping Project - Spatial Vegetation Data Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours Mississippi River, Pool 19n Nauvoo Quad, 0.5m Contours USGS Combined Vector for Ruby D-6 NW, Alaska 20160608 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Cass Lake, MN 2013 USGS US Topo 7.5-minute map for Cass Lake, MN 2016 USGS US Topo 7.5-minute map for Montgomery, MN 2010 USGS US Topo 7.5-minute map for Betsy Lake North OE N, MI 2011 USGS US Topo 7.5-minute map for Motley SE, MN 2010 USGS US Topo 7.5-minute map for Black Lake Bluffs, MI 2011 USGS US Topo 7.5-minute map for Mulligan Lake, MN 2010 USGS US Topo 7.5-minute map for Browns Corners, MI 2011 USGS US Topo 7.5-minute map for Bulldog Lake, MI 2011 USGS US Topo 7.5-minute map for Nett Lake River SE, MN 2010 USGS US Topo 7.5-minute map for Nett Lake River West, MN 2010 USGS US Topo 7.5-minute map for Burnt Island, MI-ON 2011 USGS Topo Map Vector Data (Vector) 5289 Brantford, North Dakota 20170917 for 7.5 x 7.5 minute FileGDB 10.1 John Muir National Historic Site Vegetation Mapping Project - Spatial Vegetation Data Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours Mississippi River, Pool 19n Nauvoo Quad, 0.5m Contours USGS US Topo 7.5-minute map for Cass Lake, MN 2013 USGS US Topo 7.5-minute map for Cass Lake, MN 2016 USGS US Topo 7.5-minute map for Montgomery, MN 2010 USGS US Topo 7.5-minute map for Betsy Lake North OE N, MI 2011 USGS US Topo 7.5-minute map for Motley SE, MN 2010 USGS US Topo 7.5-minute map for Black Lake Bluffs, MI 2011 USGS US Topo 7.5-minute map for Mulligan Lake, MN 2010 USGS US Topo 7.5-minute map for Browns Corners, MI 2011 USGS US Topo 7.5-minute map for Bulldog Lake, MI 2011 USGS US Topo 7.5-minute map for Nett Lake River SE, MN 2010 USGS US Topo 7.5-minute map for Nett Lake River West, MN 2010 USGS US Topo 7.5-minute map for Burnt Island, MI-ON 2011 USGS Topo Map Vector Data (Vector) 5289 Brantford, North Dakota 20170917 for 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Ruby D-6 NW, Alaska 20160608 7.5 x 7.5 minute FileGDB 10.1 Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2060, RCP4.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2080, RCP4.5, Ensemble GCM Results