Filters: Tags: validation (X) > partyWithName: Earth Resources Observation and Science (EROS) Center (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (1) OGC WFS Layer (1) OGC WMS Layer (1) OGC WMS Service (1) Contacts U.S. Geological Survey U.S. Geological Survey - ScienceBase Jeffrey R Irwin Core Science Systems Jordan Long (CTR) More... Categories Data (3) Tag Types Theme (3) Place (3) USGS Scientific Topic Keyword (3) Harvest Set (3) Tag Schemes None (3) ISO 19115 Topic Category (3) Common geographic areas (1) USGS Thesaurus (2) Alexandria Digital Library Feature Type Thesaurus (2) 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 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 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