Filters: Tags: validation (X) > Categories: Data (X)

Filters Date Range Past year (2) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Budget (1) Project (1) Types Map Service (3) OGC WFS Layer (3) OGC WMS Layer (3) OGC WMS Service (3) Contacts Gulf Coast Prairie Landscape Conservation Cooperative Earth Resources Observation and Science (EROS) Center U.S. Geological Survey U.S. Geological Survey - ScienceBase Melanie K Vanderhoof More... Categories Data Release - Revised (1) Project (1) Tag Types Theme (4) Place (4) Congressional Districts - 113th Session (1) theme (2) LCC End User Type (2) USGS Scientific Topic Keyword (3) Harvest Set (6) More... Tag Schemes None (4) https://www.sciencebase.gov/vocab/category/Places/CongressionalDistricts/113thSession (1) https://earthdata.nasa.gov/gcmd-forum (2) ISO 19115 Topic Category (5) https://www.sciencebase.gov/vocab/category/LCC/EnduserType (2) Common geographic areas (1) USGS Thesaurus (2) More... View Results as: JSON ATOM CSV

Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands Western U.S. rangelands have been quantified as six fractional cover (0-100%) components over the Landsat archive (1985-2018) at 30-m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. We leverage field data observed concurrently with HRS imagery over multiple years and locations in the Western U.S. to dramatically expand the spatial extent and sample size of validation analysis relative to a direct comparison to field observations and to previous work. We compare HRS and BIT data in the corresponding space and time. Our objectives were to evaluate the temporal and spatio-temporal relationships between HRS and BIT data, and to compare... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Central Basin and Range, Land Use Change, MT, Montana, NV, All tags... Nevada, Northern Basin and Range, Northwestern Great Plains, Southern Rockies, USGS Science Data Catalog (SDC), United States, WY, Wyoming, Wyoming Basin, annual herbaceous, back-in-time, bare ground, big sagebrush, biota, environment, fractional components, geoscientificInformation, grass, herbaceous, imageryBaseMapsEarthCover, litter, rangelands, remote sensing, sagebrush, shrub, shrubland, shrubland ecosystems, shrublands, terrestrial ecosystems, time-series, validation, vegetation, Fewer tags Final Report: Evaluation and Refinement of a Decision Support Tool for Mottled Duck Habitat Conservation in the Western Gulf Coast Habitat loss and degradation due to urban expansion and other human activities have raised concerns for the Western Gulf Coast Mottled Duck population. This species relies on tidal, palustrine, and agricultural wetlands as well as grasslands for all of its life cycle needs. The disappearance of suitable nesting and brood-rearing habitat is believed to be the primary factor associated with long-term population decline of the mottled duck. One of the first science projects initiated by the GCP LCC was development of a spatially-explicit Decision Support Tool (DST) to help guide conservation and management of habitat for breeding Mottled Ducks in coastal Louisiana and Texas. An important next step is evaluating the... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, DUCKS/GEESE/SWANS, Federal resource managers, LCC Network Science Catalog, Louisiana Coast, All tags... Mottled Duck, Regional & county planners, Report, State agencies, Texas Gulf Coast, WETLANDS, biota, completed, decision support, environment, validation, Fewer tags Coastal Carolinas Topobathymetric Model: Field Validation Data, 2021 U.S. Geological Survey (USGS) scientists conducted field data collection efforts between March 8th and 25th, 2021 at four sites along coastal North Carolina and South Carolina using high accuracy surveying technologies. The work was initiated as an effort to validate a topobathymetric digital elevation model (TBDEM) produced for the area that was directly impacted by Hurricane Florence in 2018. The goal was to compare the airborne lidar and sonar derived TBDEM to data collected through more traditional means (e.g. Global Navigational Satellite System (GNSS) surveying). In addition, coastal dunes were mapped with ground based lidar (GBL) for computation of dune metrics. The Hurricane Florence TBDEM will support the... Categories: Data; Tags: 3D Elevation Program, 3DEP, CMHRP, Cape Hatteras National Seashore, CoNED, All tags... Coastal National Elevation Database, Coastal and Marine Hazards and Resources Program, DEM, Digital Elevation Model, Fort Fisher State Recreation Area, Fort Macon State Park, GNSS, Geography, Geomorphology, Global Navigation Satellite System, Ground Based Lidar, Huntington Beach State Park, Hydrology, Lidar, Light Detection and Ranging, Marine Geology, Ocracoke Island, Remote Sensing, State of North Carolina, State of South Carolina, TBDEM, Terrestrial Laser Scanning, Topobathy, Topobathymetric Digital Elevation Model, Topobathymetric Lidar, Total Station, U.S. Geological Survey, USGS, USGS Science Data Catalog (SDC), Validation, elevation, geoscientificInformation, location, Fewer tags Data Release for the validation of the USGS Landsat Burned Area Product across the conterminous U.S. (ver. 2.0, May 2020) Complete and accurate burned area map data are needed to document spatial and temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. We present the BA algorithm and products, changes relative to the BAECV algorithm and products, and updated validation metrics. We also present spatial and temporal patterns of burned area across the conterminous U.S. and a comparison with other burned area datasets. The BA algorithm identifies burned areas in analysis ready data (ARD) time-series of Landsat imagery from 1984... Categories: Data, Data Release - Revised; Tags: CONUS, Landsat, North America, USGS Science Data Catalog (SDC), United States, All tags... Wildfire, Wildland fire, burned area, fire, validation, Fewer tags Evaluation and Refinement of a Decision Support Tool for Mottled Duck Habitat Conservation in the Western Gulf Coast Habitat loss and degradation due to urban expansion and other human activities have raised concerns for the Western Gulf Coast Mottled Duck population. This species relies on tidal, palustrine, and agricultural wetlands as well as grasslands for all of its life cycle needs. The disappearance of suitable nesting and brood-rearing habitat is believed to be the primary factor associated with long-term population decline of the mottled duck. One of the first science projects initiated by the GCP LCC was development of a spatially-explicit Decision Support Tool (DST) to help guide conservation and management of habitat for breeding Mottled Ducks in coastal Louisiana and Texas. An important next step is evaluating the... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2015, 2016, ANIMALS/VERTEBRATES, BIOLOGICAL CLASSIFICATION, BIOSPHERE, All tags... BIRDS, Coastal Louisiana, Coastal Texas, DUCKS/GEESE/SWANS, Datasets/Database, Decision Support, EARTH SCIENCE, EARTH SCIENCE, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > WETLANDS, ECOSYSTEMS, Federal resource managers, Gulf Coast Prairie Landscape Conservation Cooperative, LA-01, LA-02, LA-03, LA-04, LA-05, LA-06, LCC, LCC Network Science Catalog, Louisiana, MS-04, Monitoring, Mottled Duck, PALUSTRINE WETLANDS, Population & Habitat Evaluation/Projection, Project, Regional & county planners, Report, State agencies, TERRESTRIAL ECOSYSTEMS, TX-02, TX-07, TX-08, TX-09, TX-10, TX-14, TX-15, TX-18, TX-22, TX-25, TX-27, TX-29, Texas, WETLANDS, biota, completed, decision support, validation, Fewer tags A circa 2010 global land cover reference dataset from commercial high resolution satellite data The data are 475 thematic land cover raster’s at 2m resolution. Land cover classification was to the land cover classes: Tree (1), Water (2), Barren (3), Other Vegetation (4) and Ice & Snow (8). Cloud cover and Shadow were sometimes coded as Cloud (5) and Shadow (6), however for any land cover application would be considered NoData. Some raster’s may have Cloud and Shadow pixels coded or recoded to NoData already. Commercial high-resolution satellite data was used to create the classifications. Usable image data for the target year (2010) was acquired for 475 of the 500 primary sample locations, with 90% of images acquired within ±2 years of the 2010 target. The remaining 25 of the 500 sample blocks had no usable... Categories: Data; Tags: Land Use Change, USGS Science Data Catalog (SDC), Validation, biota, imageryBaseMapsEarthCover, All tags... land use and land cover, multinational entities, Fewer tags