AndreaBozzo/ceres-open-data-index huggingface dataset:
Little Gunpowder Falls Terrain models

Terrain models representing river channel and terrestrial surface elevations were developed for use in 2D hydraulic modeling with HEC-RAS software. Channel bed elevations were determined from cross-sectional field surveys (Seneca Creek and Patapsco River) or manual corrections of the LIDAR data (Patuxent River and Little Gunpowder Falls) and integrated with the terrestrial LIDAR data.

Tags: elevation, environment, flood-plain, flood-regime, floodplain, floods-and-hazard-preparedness, hydrogeomorphology, hydrology, inundation, little-gunpowder-falls, maryland, patapsco-river, patuxent-river, seneca-creek, usgs-5b9125bce4b0702d0e8085c4
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 5116 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f544ae4b006a11f66eb86, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 4551 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f53fde4b006a11f66eb64, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
North American Grid-Based Sampling Frame: Hawaii at a 5x5km resolution

This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico.  The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico.  Alaska is combined with Canada into a single grid.  Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions.  The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency "Bat Grid" monitoring program in the Pacific Northwest and was expanded program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat).  Additional grids for Hawaii and Puerto Rico were created for this data release.
This vector dataset is the individual grid-based sampling grid for Hawaii at a 5x5km resolution.

Tags: biota, ecosystem-monitoring, location, usgs-5b7c36eae4b0f5d578860359
Organization: Department of the Interior
Patuxent Terrain models

Terrain models representing river channel and terrestrial surface elevations were developed for use in 2D hydraulic modeling with HEC-RAS software. Channel bed elevations were determined from cross-sectional field surveys (Seneca Creek and Patapsco River) or manual corrections of the LIDAR data (Patuxent River and Little Gunpowder Falls) and integrated with the terrestrial LIDAR data.

Tags: elevation, environment, flood-plain, flood-regime, floodplain, floods-and-hazard-preparedness, hydrogeomorphology, hydrology, inundation, little-gunpowder-falls, maryland, patapsco-river, patuxent-river, seneca-creek, usgs-5b912cd8e4b0702d0e8085df
Organization: Department of the Interior
Structure-from-motion point cloud of Mud Creek, Big Sur, California, 2017-12-07

Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using a UAS-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. Point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Ricoh GR camera in DNG format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Point clouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, bathymetry-and-elevation, big-sur, california, cape-san-martin, central-california-coastal, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-change-hazards-topics, coastal-landslides, coastal-landsliding, coastal-processes, coastal-sediment-budget, coastal-zone-management, effects-of-coastal-change, elevation, geomorphology, geoscientificinformation, hazards, hazards-and-disasters, human-responses-to-coastal-change, image-analysis, image-collections, imagerybasemapsearthcover, landslides, monterey, pacific-coastal-and-marine-science-center, pcmsc, remote-sensing, topography, transportation, u-s-geological-survey, united-states, usgs, usgs-5b807080e4b05f6e32195234, villa-creek
Organization: Department of the Interior
Structure-from-motion point cloud of Mud Creek, Big Sur, California, 2017-10-12

Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using a UAS-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. The point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Ricoh GR camera in DNG format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Pointclouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, bathymetry-and-elevation, big-sur, california, cape-san-martin, central-california-coastal, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-change-hazards-topics, coastal-landslides, coastal-landsliding, coastal-processes, coastal-sediment-budget, coastal-zone-management, effects-of-coastal-change, elevation, geomorphology, geoscientificinformation, hazards, hazards-and-disasters, human-responses-to-coastal-change, image-analysis, image-collections, imagerybasemapsearthcover, landslides, monterey, pacific-coastal-and-marine-science-center, pcmsc, remote-sensing, topography, transportation, u-s-geological-survey, united-states, usgs, usgs-5b80705fe4b05f6e32195230, villa-creek
Organization: Department of the Interior
North American Grid-Based Sampling Frame: Alaska and Canada at a 5x5km resolution

This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico.  The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico.  Alaska is combined with Canada into a single grid.  Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions.  The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency "Bat Grid" monitoring program in the Pacific Northwest and was expanded program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat).  Additional grids for Hawaii and Puerto Rico were created for this data release.
This vector dataset is the individual grid-based sampling grid for Alaska and Canada at a 5x5km resolution.

Tags: alaska, biota, canada, ecosystem-monitoring, location, usgs-5b7c36abe4b0f5d57886033d
Organization: Department of the Interior
Patapsco Shapefiles depicting the valley bottom areas.

The shapefiles depict the valley bottom areas over which HEC-RAS model results were summarized. Valley bottoms were manually delineated in ArcMap by visually interpreting LIDAR terrain models and aerial imagery. Substantial changes in elevation, curvature, and slope were interpreted within the context of their position within the study reach to be channel banks and valley walls. Such areas were excluded from the valley bottom delineation.

Tags: biota, flood-regime, floodplain, hydrogeomorphology, hydrology, inundation, little-gunpowder-falls-laurel-brook-maryland-usa, patapsco-river-woodstock-maryland-usa, patuxent-river-unity-maryland-usa, seneca-creek-dawsonville-maryland-usa, usgs-5b9123a8e4b0702d0e8085b8
Organization: Department of the Interior
High-Resolution Aeromagnetic Survey of Mountain Pass, California

A detailed aeromagnetic survey of Mountain Pass, California was flown by CGG Canada Services Ltd. (CGG) during November and December, 2016.  The high-resolution helicopter survey was flown at a flightline spacing of 100 and 200 m, a flightline azimuthal direction of 70 degrees, a nominal flightline elevation above ground of 70 m, and consists of about 1,814 line-kilometers.  Tie lines were spaced at a 1-km interval with a flight-line azimuthal direction of 160 degrees. A Scintrex CS-3 cesium magnetometer was used throughout the airborne survey as well as for the ground base station survey. Data are presented as residual magnetic intensity (RMI) in nanoteslas (nT).

Tags: aeromagnetic-survey, geology-minerals-energy-and-geophysics-science-center, geophysics, geoscientificinformation, gmegsc, magnetic-field-of-the-earth, mineral-resources, mineral-resources-program, mrp, usgs-5b6214fce4b006a11f6f83f4
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 4938 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f5438e4b006a11f66eb7f, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Structure-from-motion point cloud of Mud Creek, Big Sur, California, 2017-05-19

Presented here is a  point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. The point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point Cloud Coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Nikon D800 camera in RAW format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Pointclouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, bathymetry-and-elevation, big-sur, california, cape-san-martin, central-california-coastal, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-change-hazards-topics, coastal-landslides, coastal-landsliding, coastal-processes, coastal-sediment-budget, coastal-zone-management, effects-of-coastal-change, elevation, geomorphology, geoscientificinformation, hazards, hazards-and-disasters, human-responses-to-coastal-change, image-analysis, image-collections, imagerybasemapsearthcover, landslides, monterey, pacific-coastal-and-marine-science-center, pcmsc, remote-sensing, topography, transportation, u-s-geological-survey, united-states, usgs, usgs-5b806f22e4b05f6e32195220, villa-creek
Organization: Department of the Interior
North American Grid-Based Sampling Frame: Puerto Rico at a 1x1km resolution

This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico.  The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico.  Alaska is combined with Canada into a single grid.  Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions.  The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency "Bat Grid" monitoring program in the Pacific Northwest and was expanded program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat).  Additional grids for Hawaii and Puerto Rico were created for this data release.
This vector dataset is the individual grid-based sampling grid for Puerto Rico at a 1x1km resolution.

Tags: biota, ecosystem-monitoring, location, usgs-5b7c371de4b0f5d578860378
Organization: Department of the Interior
North American Grid-Based Sampling Frame: Puerto Rico at a 5x5km resolution

This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico.  The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico.  Alaska is combined with Canada into a single grid.  Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions.  The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency "Bat Grid" monitoring program in the Pacific Northwest and was expanded program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat).  Additional grids for Hawaii and Puerto Rico were created for this data release.
This vector dataset is the individual grid-based sampling grid for Puerto Rico at a 5x5km resolution.

Tags: biota, ecosystem-monitoring, location, usgs-5b7c371de4b0f5d578860376
Organization: Department of the Interior
North American Grid-Based Sampling Frame: Puerto Rico at a 10x10km resolution

This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico.  The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico.  Alaska is combined with Canada into a single grid.  Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions.  The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency "Bat Grid" monitoring program in the Pacific Northwest and was expanded program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat).  Additional grids for Hawaii and Puerto Rico were created for this data release.
This vector dataset is the individual grid-based sampling grid for Puerto Rico at a 10x10km resolution.

Tags: biota, ecosystem-monitoring, location, usgs-5b7c3717e4b0f5d578860373
Organization: Department of the Interior
North American Grid-Based Sampling Frame: Puerto Rico at a 50x50km resolution

This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico.  The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico.  Alaska is combined with Canada into a single grid.  Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions.  The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency "Bat Grid" monitoring program in the Pacific Northwest and was expanded program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat).  Additional grids for Hawaii and Puerto Rico were created for this data release.
This vector dataset is the individual grid-based sampling grid for Puerto Rico at a 50x50km resolution.

Tags: biota, ecosystem-monitoring, location, usgs-5b7c3711e4b0f5d57886036d
Organization: Department of the Interior
North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Puerto Rico at a 5x5km resolution

The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of 10-km by 10-km (100-km2) grid cell sample units.  This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes.  A draw of sample units from a finite sampling frame using the GRTS design produces an ordered list of units such that any ordered subset of that list is also randomized and spatially balanced. 
This vector dataset is the individual grid-based sampling grid for Puerto Rico at a 5x5km resolution.

Tags: biota, ecosystem-monitoring, location, usgs-5b7753d8e4b0f5d57882045b
Organization: Department of the Interior