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These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation...
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.
This is the Original Product Resolution (OPR) Digital Elevation Model (DEM)of a topobathymetric model as provided to the USGS National Geospatial Technical Operations Center (NGTOC). This DEM is delivered in the original resolution, with the original spatial reference as it was provided to the NGTOC. All elevation units have been converted to meters.
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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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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 National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the USGS. The NED provides the best available public domain raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands in a seamless format. The NED is derived from diverse source data, processed to a common coordinate system and unit of vertical measure. All NED data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are provided in units of meters, and are referenced to the North American Vertical Datum of 1988 (NAVD 88) over the conterminous United States. The vertical...
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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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Note: NED data can be accessed through The National Map (USGS). Instructions are available on The National Map Viewer homepage. The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the USGS. The NED provides the best available public domain raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands in a seamless format. The NED is derived from diverse source data, processed to a common coordinate system and unit of vertical measure. All NED data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are provided in units of...
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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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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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These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation...
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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.


map background search result map search result map Digital Elevation Model for Wyoming 10 meter Illinois River, Peoria Pool, Florid Quad, 0.5m Contours Illinois River, Peoria Pool, Putnam Quad, 0.5m Contours Illinois River, Marseilles Pool, Morris Quad, 0.5m Contour Illinois River, Marseilles Pool, Ottawa Quad, 0.5m Contour Illinois River, Peoria Pool, Starved Rock Quad, 0.5m Contours Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours Illinois River, Dresden Pool 0.5m, Channahon Quad, Contours Illinois River, Dresden Pool, Minooka Quad, 0.5m, Contours Mississippi River, Pool 19, Colusa Quad, 0.5m Contours Mississippi River, Pool 19n Nauvoo Quad, 0.5m Contours Mississippi River, Pool 19, Dallas City Quad, 0.5m Contours Mississippi River, Pool 19, West Burlington Quad, 0.5m Contours Mississippi River, Pool 18, Gladstone Quad, 0.5m Contours Mississippi River, Pool 18, Rozetta Quad, 0.5m Contours Mississippi River, Pool 18, Oquawka Quad, 0.5m Contours BLM REA CBR 2010 USGS 30m National Elevation Dataset Data collected for estimation of storage capacity at managed water resources used by Desert Bighorn Sheep in Cabeza Prieta National Wildlife Refuge, Arizona, February 2022 Lidar point cloud data for Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona, February 2022 Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours Illinois River, Peoria Pool, Starved Rock Quad, 0.5m Contours Illinois River, Marseilles Pool, Ottawa Quad, 0.5m Contour Mississippi River, Pool 18, Rozetta Quad, 0.5m Contours Illinois River, Dresden Pool, Minooka Quad, 0.5m, Contours Illinois River, Marseilles Pool, Morris Quad, 0.5m Contour Illinois River, Peoria Pool, Florid Quad, 0.5m Contours Mississippi River, Pool 19n Nauvoo Quad, 0.5m Contours Mississippi River, Pool 18, Oquawka Quad, 0.5m Contours Mississippi River, Pool 19, Dallas City Quad, 0.5m Contours Illinois River, Dresden Pool 0.5m, Channahon Quad, Contours Data collected for estimation of storage capacity at managed water resources used by Desert Bighorn Sheep in Cabeza Prieta National Wildlife Refuge, Arizona, February 2022 Lidar point cloud data for Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona, February 2022 Digital Elevation Model for Wyoming 10 meter BLM REA CBR 2010 USGS 30m National Elevation Dataset