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This file contains the polygon SDE Feature Class for Federal Fluid Minerals(Oil and Gas) for the Bureau of Land Management(BLM)Montana/Dakotas. Federal Fluid Minerals as well as Federal Lease status and Indian Minerals/Leases are included. Plat maps are used to find federal mineral ownership and the Bureau of Land Management's LR2000 database is used to find current leasing status.
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This dataset contains images obtained from unmanned aerial systems (UAS) flown in the Cape Cod National Seashore. The objective of the field work was to evaluate the quality and cost of mapping from UAS images. Low-altitude (approximately 120 meters above ground level) digital images were obtained from cameras in a fixed-wing unmanned aerial vehicle (UAV) flown from the lawn adjacent to the Coast Guard Beach parking lot on 1 March, 2016. The UAV was a Skywalker X8 flying wing operated by Raptor Maps, Inc., contractors to the U.S. Geological Survey. U.S. Geological Survey technicians deployed and mapped 28 targets that appear in some of the images for use as ground control points. All activities were conducted according...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bald Point State Park, CMGP, Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, All tags...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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This dataset includes the magnetotelluric (MT) sounding data collected in 2009 in and near the San Luis Basin, New Mexico. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Basin to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Basin region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management...
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An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Puerto_Rico_Virgin_Islands_FIPS_5200 Resolution: 0.3048 m Type: Natural Color to: Standard Product Projection: NAD_1983_UTM_Zone_19N Standard Product Resolution: 0.3000 m Rows: 5,000 Columns: 5,000 and resampled to align to the U.S. National Grid (USNG). The naming convention...
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An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Puerto_Rico_Virgin_Islands_FIPS_5200 Resolution: 0.3048 m Type: Natural Color to: Standard Product Projection: NAD_1983_UTM_Zone_19N Standard Product Resolution: 0.3000 m Rows: 5,000 Columns: 5,000 and resampled to align to the U.S. National Grid (USNG). The naming convention...
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An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Puerto_Rico_Virgin_Islands_FIPS_5200 Resolution: 0.3048 m Type: Natural Color to: Standard Product Projection: NAD_1983_UTM_Zone_19N Standard Product Resolution: 0.3000 m Rows: 5,000 Columns: 5,000 and resampled to align to the U.S. National Grid (USNG). The naming convention...
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An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Puerto_Rico_Virgin_Islands_FIPS_5200 Resolution: 0.3048 m Type: Natural Color to: Standard Product Projection: NAD_1983_UTM_Zone_19N Standard Product Resolution: 0.3000 m Rows: 5,000 Columns: 5,000 and resampled to align to the U.S. National Grid (USNG). The naming convention...
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An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Puerto_Rico_Virgin_Islands_FIPS_5200 Resolution: 0.3048 m Type: Natural Color to: Standard Product Projection: NAD_1983_UTM_Zone_20N Standard Product Resolution: 0.3000 m Rows: 5,000 Columns: 5,000 and resampled to align to the U.S. National Grid (USNG). The naming convention...
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An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Puerto_Rico_Virgin_Islands_FIPS_5200 Resolution: 0.3048 m Type: Natural Color to: Standard Product Projection: NAD_1983_UTM_Zone_20N Standard Product Resolution: 0.3000 m Rows: 5,000 Columns: 5,000 and resampled to align to the U.S. National Grid (USNG). The naming convention...
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An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Puerto_Rico_Virgin_Islands_FIPS_5200 Resolution: 0.3048 m Type: Natural Color to: Standard Product Projection: NAD_1983_UTM_Zone_20N Standard Product Resolution: 0.3000 m Rows: 5,000 Columns: 5,000 and resampled to align to the U.S. National Grid (USNG). The naming convention...
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An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Puerto_Rico_Virgin_Islands_FIPS_5200 Resolution: 0.3048 m Type: Natural Color to: Standard Product Projection: NAD_1983_UTM_Zone_20N Standard Product Resolution: 0.3000 m Rows: 5,000 Columns: 5,000 and resampled to align to the U.S. National Grid (USNG). The naming convention...
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An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Puerto_Rico_Virgin_Islands_FIPS_5200 Resolution: 0.3048 m Type: Natural Color to: Standard Product Projection: NAD_1983_UTM_Zone_20N Standard Product Resolution: 0.3000 m Rows: 5,000 Columns: 5,000 and resampled to align to the U.S. National Grid (USNG). The naming convention...


map background search result map search result map Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management Low-altitude aerial imagery obtained with unmanned aerial systems (UAS) flights over Coast Guard Beach, Nauset Spit, Nauset Inlet, and Nauset Marsh, Cape Cod National Seashore, Eastham, Massachusetts on 1 March 2016 (JPEG images) Shorelines of the Florida north (FLnorth) coastal region used in shoreline change analysis Magnetotelluric sounding data, station 1, Taos Plateau Volcanic Field, New Mexico, 2009 Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Min Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Min Precipitation (Proportion May - Oct) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Min Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Min Precipitation (Mean: Apr - June) - 2070-2100 - RCP4.5 - Max Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Min USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 19QGA125010_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 19QGA170340_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 19QGA185055_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 19QHA100340_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF830295_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF845130_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF845145_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF845190_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF845250_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 19QGA125010_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 19QGA185055_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 19QGA170340_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF845130_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF845145_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF845190_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF845250_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 19QHA100340_200611_0x3000m_CL_1 USGS High Resolution Orthoimagery for Puerto Rico and the U.S. Virgin Islands: 20QJF830295_200611_0x3000m_CL_1 Low-altitude aerial imagery obtained with unmanned aerial systems (UAS) flights over Coast Guard Beach, Nauset Spit, Nauset Inlet, and Nauset Marsh, Cape Cod National Seashore, Eastham, Massachusetts on 1 March 2016 (JPEG images) Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Min Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Min Precipitation (Proportion May - Oct) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Min Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Min Precipitation (Mean: Apr - June) - 2070-2100 - RCP4.5 - Max Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Min Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management