AndreaBozzo/ceres-open-data-index huggingface dataset:
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Shrub Fractional Component Time-Series Across Western North America from 1985-2023

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was further improved by incorporating additional datasets. Next, the Landsat compositing approach was improved to better capture the range of conditions from across each year and through time. These composites are based on Collection 2 Landsat data with improved geolocation accuracy and dynamic range. Finally, the Canadian portion of the sagebrush biome was included, which expanded the study area by 29,199 km2. 
Processing efficiency has been increased using open-source software and USGS High-Performance Computing (HPC) resources. The mapping area included eight regions which were subsequently mosaicked. These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded https://www.mrlc.gov/data.

Tags: ab, alberta, annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, canada, chihuahuan, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, desert, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, mediterranean-california, middle-rockies, mojave, montana, mt, mts, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, north-plains, northern-great-plains, northern-great-salt-lake-desert, northern-mountainous, northern-rocky-mountains, nv, or, oregon, plains, plateau, prairie-provinces, rangeland, rangeland-management, rocky-mountains, sagebrush, saskatchewan, sd, shrub, shrub-height, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sierra-nevada, sk, sonoran, sonoran-desert, south-dakota, southern-great-salt-lake-desert, southern-rocky-mountains, southwest-tablelands, terrestrial-ecosystems, texas, the-rockies, three-forks, time-series, trends, tx, united-states, usgs-65731472d34e952b22743c6d, ut, utah, vegetation, vegetation-change, vegetation-height, wa, wasatch, washington, western-us, wy, wyoming, wyoming-basin, yellowstone
Organization: Department of the Interior
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Shrub Height Fractional Component Time-Series Across Western North America from 1985-2023

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was further improved by incorporating additional datasets. Next, the Landsat compositing approach was improved to better capture the range of conditions from across each year and through time. These composites are based on Collection 2 Landsat data with improved geolocation accuracy and dynamic range. Finally, the Canadian portion of the sagebrush biome was included, which expanded the study area by 29,199 km2. 
Processing efficiency has been increased using open-source software and USGS High-Performance Computing (HPC) resources. The mapping area included eight regions which were subsequently mosaicked. These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded https://www.mrlc.gov/data.

Tags: ab, alberta, annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, canada, chihuahuan, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, desert, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, mediterranean-california, middle-rockies, mojave, montana, mt, mts, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, north-plains, northern-great-plains, northern-great-salt-lake-desert, northern-mountainous, northern-rocky-mountains, nv, or, oregon, plains, plateau, prairie-provinces, rangeland, rangeland-management, rocky-mountains, sagebrush, saskatchewan, sd, shrub, shrub-height, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sierra-nevada, sk, sonoran, sonoran-desert, south-dakota, southern-great-salt-lake-desert, southern-rocky-mountains, southwest-tablelands, terrestrial-ecosystems, texas, the-rockies, three-forks, time-series, trends, tx, united-states, usgs-65731480d34e952b22743c6f, ut, utah, vegetation, vegetation-change, vegetation-height, wa, wasatch, washington, western-us, wy, wyoming, wyoming-basin, yellowstone
Organization: Department of the Interior
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Tree Cover Fractional Component Time-Series Across Western North America from 1985-2023

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was further improved by incorporating additional datasets. Next, the Landsat compositing approach was improved to better capture the range of conditions from across each year and through time. These composites are based on Collection 2 Landsat data with improved geolocation accuracy and dynamic range. Finally, the Canadian portion of the sagebrush biome was included, which expanded the study area by 29,199 km2. 
Processing efficiency has been increased using open-source software and USGS High-Performance Computing (HPC) resources. The mapping area included eight regions which were subsequently mosaicked. These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded https://www.mrlc.gov/data.

Tags: ab, alberta, annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, canada, chihuahuan, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, desert, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, mediterranean-california, middle-rockies, mojave, montana, mt, mts, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, north-plains, northern-great-plains, northern-great-salt-lake-desert, northern-mountainous, northern-rocky-mountains, nv, or, oregon, plains, plateau, prairie-provinces, rangeland, rangeland-management, rocky-mountains, sagebrush, saskatchewan, sd, shrub, shrub-height, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sierra-nevada, sk, sonoran, sonoran-desert, south-dakota, southern-great-salt-lake-desert, southern-rocky-mountains, southwest-tablelands, terrestrial-ecosystems, texas, the-rockies, three-forks, time-series, trends, tx, united-states, usgs-6573148ed34e952b22743c71, ut, utah, vegetation, vegetation-change, vegetation-height, wa, wasatch, washington, western-us, wy, wyoming, wyoming-basin, yellowstone
Organization: Department of the Interior
MODFLOW-2000 models used for groundwater simulation and management models for the Upper Klamath Basin, Oregon and California

This data release contains a three-dimensional groundwater flow model with example applications using MODFLOW-2000. The calibrated model is able to simulate observed decadal-scale climate-driven fluctuations in the groundwater system as well as observed shorter-term pumping-related fluctuations. Example model simulations show that the timing and location of the effects of groundwater pumping vary markedly depending on the pumping location. The complete description for the models in Gannett et al., 2012.

Tags: environment, geoscientificinformation, groundwater, groundwater-model, groundwater-simulation, inlandwaters, klamath-county, lake-county, management-model, modflow-2000, modoc-county, siskiyou-county, usgs-6573707ad34e952b2274434a, usgsgroundwatermodel
Organization: Department of the Interior
Grain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021

These data provide grain-size measurements from sediment samples collected as part of the USGS DUring Nearshore Event eXperiment (DUNEX) site on Pea Island National Wildlife Refuge, NC. DUNEX is a multi-agency, academic, and non-governmental organization collaborative community experiment designed to study nearshore coastal processes during storm events. USGS participation in DUNEX will contribute new measurements and models that will increase our understanding of storm impacts to coastal environments, including hazards to humans and infrastructure and changes in landscape and natural habitats. The grain-size analysis data are part of USGS field activities 2021-028-FA and 2021-032-FA and are related to field activity 2021-029-FA.

Tags: atlantic, cmhrp, coastal-and-marine-hazards-and-resources, dare, dunex, during-nearshore-event-experiment, field-sampling, geoscientificinformation, grab-sampling, grain-size-analysis, north-carolina, oceans, pea-island, sediment-transport, u-s-geological-survey, united-states, usgs, usgs-65777be2d34e952b22746288, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Distribution and breeding status of Least Bell’s Vireo along the San Diego and Tijuana rivers in San Diego County, California (2023)

The spatial data results of USGS surveys for Least Bell's Vireo (Vireo bellii pusillus, LBVI) along the Tijuana River and San Diego River in 2023 to determine abundance and distribution of vireos to facilitate population trend analyses and collect information on dispersal and site fidelity of banded vireos as part of long-term demographic studies at multiple sites.

Tags: biota, birds, california, endangered-species, field-inventory-and-monitoring, habitats, riparian, san-diego, san-diego-river, survey, tijuana-river, usgs-6578d96ed34e952b22747a14
Organization: Department of the Interior
Nearshore bathymetry data from the Elwha River delta, Washington, August 2019

This portion of the USGS data release presents bathymetric data collected during surveys performed on the Elwha River delta, Washington in 2019 (USGS Field Activity Number 2019-633-FA). Bathymetric data were collected using personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers.

Tags: bathymetry, bathymetry-and-elevation, clallam-county, cmhrp, coastal-and-marine-hazards-and-resources-program, elevation, elwha-river, global-positioning-system-gps-observations, gps-measurement, marine-geophysics, olympic-peninsula, pacific-coastal-and-marine-science-center, pcmsc, sea-floor-characteristics, single-beam-echo-sounder, strait-of-juan-de-fuca, u-s-geological-survey, usgs, usgs-6578e0b5d34e952b22747a83
Organization: Department of the Interior
Topography data from the Elwha River delta, Washington, August 2019

This part of the data release presents topography data from the Elwha River delta collected in August 2019. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Tags: bathymetry-and-elevation, clallam-county, cmhrp, coastal-and-marine-hazards-and-resources-program, elevation, elwha-river, global-positioning-system-gps-observations, gps-measurement, olympic-peninsula, pacific-coastal-and-marine-science-center, pcmsc, strait-of-juan-de-fuca, topography, u-s-geological-survey, usgs, usgs-6578e888d34e952b22747a99
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0639 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 398 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 2021 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. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). 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-6569e5b7d34e6dde1a4ae144, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0641 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 398 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 2021 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. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). 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-6569e5bad34e6dde1a4ae146, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0642 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 398 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 2021 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. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). 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-6569e5bcd34e6dde1a4ae148, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0648 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 398 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 2021 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. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). 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-6569e5c2d34e6dde1a4ae150, wetland, wetland-restoration
Organization: Department of the Interior
Digitized meander loop cutoffs along Muddy Creek in the Colorado River headwaters, Wyoming

We used a before-and-after study design to examine effects of changes in cattle grazing practices on channel stability in Muddy Creek, an arroyo in the Colorado River headwaters. The changes in grazing practices were abrupt and focused on keeping cattle out of the riparian zone and increasing herd movement. We digitized 620 meander loop cutoff geometries within the alluvial valley bottom of Muddy Creek. Poisson regression modeling of meander loop cutoff rate indicated that the change in grazing practices caused a decline in meander loop cutoff rate that was on the scale of an order of magnitude and independent of other hydroclimatic and human-caused factors. The polyline data released here was used in our analysis as a broad measure of channel stability.

Tags: colorado-river, little-snake-river, muddy-creek, usgs-657a246fd34e952b2274a901, water, wyoming
Organization: Department of the Interior