USGS Lidar Point Cloud NM_NorthWest_2018_D19 13SBV02343970

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, NM_NorthWest_Navajo_B_TL_2018, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, elevation, Fewer tags

USGS Lidar Point Cloud NM_NorthWest_2018_D19 13SBV02343972

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, NM_NorthWest_Navajo_B_TL_2018, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, elevation, Fewer tags

USGS Lidar Point Cloud OK_Panhandle_2018_D18 14SLF855425

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, National Elevation Dataset, OK_Panhandle_B2_2018, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, elevation, Fewer tags

USGS Lidar Point Cloud WY_FEMA_East_2019_D19 w0992n2246

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, WY_FEMA_East_B7_2019, elevation, Fewer tags

USGS Lidar Point Cloud WY_FEMA_East_2019_D19 w0992n2257

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, WY_FEMA_East_B7_2019, elevation, Fewer tags

USGS Lidar Point Cloud NC_Phase2_2014 LA_37_20009904_

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NC_ColumbusCo_2014, NED, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, elevation, Fewer tags

USGS Lidar Point Cloud WA_PierceCounty_2020_A20 11576620

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, WA_PierceCounty_1_2020, elevation, Fewer tags

USGS Lidar Point Cloud SC_SavannahPeeDee_2019_B19 10878973_79

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, National Elevation Dataset, SC_SavannahPeeDee_2_2019, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, elevation, Fewer tags

USGS Lidar Point Cloud FL_Peninsular_FDEM_2018_D19_DRRA LID2019_296496_E

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, FL_Peninsular_FDEM_Glades_2018, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, elevation, Fewer tags

USGS Lidar Point Cloud FL_Peninsular_FDEM_2018_D19_DRRA LID2019_288403_E

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, FL_Peninsular_FDEM_Glades_2018, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, elevation, Fewer tags

USGS Lidar Point Cloud MI_FEMA_2019_C19 590817

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), MI_FEMA_Cheboygan_2019, Mapping, NED, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, United States, Varies, elevation, Fewer tags

USGS Lidar Point Cloud UT_StatewideSouth_2020_A20 12STG8461

Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information. This data set is a LAZ (compressed LAS)...

Tags: 3DEP, Cartography, DEM, Digital Elevation Model, Digital Mapping, All tags... Digital Terrain Model, Downloadable Data, Elevation, Elevation, Elevation, GIS, Geodata, High Resolution, LAZ, LIDAR, LIght Detection And Ranging, Lidar Point Cloud (LPC), Mapping, NED, National Elevation Dataset, Terrain Elevation, Topographic Surface, Topography, U.S. Geological Survey, US, US, USGS, UT_StatewideSouth_1_2020, United States, Varies, elevation, Fewer tags

Annual California Sea Otter Census - 2017 Spring Census Summary

The spring 2017 mainland sea otter count began on April 30, and although the shore-based counts were completed by May 12, 2017, the aerial counts were not completed until July 12, 2017. Overall viewing conditions this year were good, although not as good as conditions experienced during the 2016 spring census (View Score 2.4 versus 3.1, where 0=poor, 1=fair, 2=good, 3=very good, and 4=excellent). The surface canopies of kelp (Macrocystis sp.) were considered by most participants to be considerably below normal for this time of year in most areas of the mainland range. Sea otters along the mainland coast were surveyed from Pillar Point in San Mateo County in the north to Rincon Point in the south at the Santa Barbara/Ventura...

Types: Citation; Tags: California, Central California Coastal, Coast, Southern California Coastal, USGS Science Data Catalog (SDC), All tags... aerial counts, biota, distribution, environment, ocean, range, sea otter census, sea otters, sea otters, shore counts, Fewer tags

Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Min

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...

Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags

Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Min

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...

Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags

Precipitation (Proportion May - Oct) - 1980-2010

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...

Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags

Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Min

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...

Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags

Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Min

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...

Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags

Precipitation (Mean: Apr - June) - 2070-2100 - RCP4.5 - Max

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...

Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags

Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Min

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...

Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags