AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2016 Site 5035 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-5b5f5446e4b006a11f66eb84, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Structure-from-motion point cloud of Mud Creek, Big Sur, California, 2017-06-13

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-5b806f70e4b05f6e32195225, villa-creek
Organization: Department of the Interior
Activity patterns of cave-dwelling bat species during pre-hibernation swarming and post-hibernation emergence in the central Appalachians

Bat activity around known hibernacula in Virginia and West Virginia portion of the central Appalachians during the fall swarm and spring emergence, 2015-2017

Tags: activity, caves, central-appalachians, chiroptera, emergence, swarming, usgs-5b634dc4e4b006a11f71823e, virginia, west-virginia
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 4448 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-5b5f53eae4b006a11f66eb58, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
HW3_250M_LCC_WGS84.TIF - Hawaii III - Northwestern Hawaiian Ridge U.S. EEZ GLORIA sidescan-sonar composite mosaic (LCC, 250 m, WGS84)

In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology, launched a program using the Geological LOng-Range Inclined Asdic (GLORIA) sidescan-sonar system to study the entire U.S. Exclusive Economic Zone (EEZ). From 1989 through 1991, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted several surveys within the EEZ off Hawaii. Six surveys during that time period focused on the northwestern Hawaii region. The results of these surveys were 22 digital mosaics of approximately a 2 degree by 2 degree area with a 50-meter pixel resolution.

Tags: acoustic-receivers, acoustic-reflectivity, backscatter, central-pacific-ocean, cmgp, coastal-and-marine-geology-program, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, field-activity-number-f-1-90-hw, field-activity-number-f-10-91-hw, field-activity-number-f-13-89-hw, field-activity-number-f-2-90-hw, field-activity-number-f-5-91-cp, field-activity-number-f-6-91-cp, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, hawaii, hawaii-ecoregion, hawaiian-emperor-chain, hawaiian-islands, hawaiian-ridge, image-mosaics, imagerybasemapsearthcover, kure-island, lisianski-island, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, midway-islands, nero-seamount, neva-shoal, ocean-gt-pacific-ocean, ocean-gt-pacific-ocean-gt-central-pacific-ocean, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, oceans-gt-pacific-ocean-gt-central-pacific-ocean-gt-hawaiian-islands, pearl-and-hermes-shelf, physical-habitats-and-geomorphology, pioneer-bank, salmon-bank, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, u-s-geological-survey, usgs, usgs-5b6e5999-a8d0-47ea-ba0a-0e280fa03ed3, wcmg, western-coastal-and-marine-geology
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 4407 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-5b5f53e6e4b006a11f66eb56, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Thermal Imagery along Ellerbe Creek in Durham, North Carolina

An initial reconnaissance survey in March 2016 and a subsequent survey in July 2016 was conducted to identify possible groundwater discharge points along the stream reach using a forward-looking infrared (FLIR) camera in seasonal extremes. The high-resolution thermal imaging camera captures the emitted infrared radiation of the objects in view. Recent studies using similar ground-based thermal infrared imaging techniques have been successful in qualitatively locating groundwater discharge along discrete features, such as fractures and faults, as well as diffuse seepage along stream banks (Deitchman and Loheide, 2009; Pandey and others, 2013). Sites of interest were those where temperature differences were observed between the stream surface and points of streambank inflow, more specifically where warmer groundwater was observed flowing from the streambank into the relatively cooler stream during the winter and cooler groundwater entering the relatively warmer stream during the summer.

Tags: durham-county, ellerbe-creek, flir, geophysics, groundwater, north-carolina, temperature, thermal-imagery, usgs-5b70805ae4b0f5d578796948
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 4406 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-5b5f53e3e4b006a11f66eb54, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 4355 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-5b5f53e0e4b006a11f66eb52, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
North American Grid-Based Sampling Frame: Puerto Rico

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.
These vector dataset grids for Puerto Rico are at 50x50km, 10x10km, 5x5km, and 1x1km resolutions.

Tags: biota, ecosystem-monitoring, location, usgs-5b7c370ce4b0f5d578860369
Organization: Department of the Interior
North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Mexico at a 10x10km 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 Mexico at a 10x10km resolution.

Tags: biota, ecosystem-monitoring, location, usgs-5b7753d3e4b0f5d578820459
Organization: Department of the Interior
LittleGunpowderFalls 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-5b912353e4b0702d0e8085b5
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 4245 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-5b5f53dbe4b006a11f66eb50, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
North American Grid-Based Sampling Frame: Alaska and Canada 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 Alaska and Canada at a 10x10km resolution.

Tags: alaska, biota, canada, ecosystem-monitoring, location, usgs-5b7c3663e4b0f5d57886033b
Organization: Department of the Interior