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Long-term field observation of shrubland ecosystem in Wyoming, USA from 2008-2018 The importance of monitoring shrublands to detect and understand changes through time is increasingly recognized as critical to management. This dataset focuses on ecological change observation over ten years of field observation at 134 plots within two sites that are located in Southwestern of Wyoming, USA from 2008-2018. At sites 1 and 3, 134 long-term field observation plots were measured annually from 2008 to 2018. General plot locations were selected in 2006 using segments and spectral clusters on QuickBird imagery to identify the best locations for representing the variability of the entire site (one QuickBird image). Ground measurements were conducted using ocular measurements with cover was estimated from... Categories: Data; Tags: Land Use Change, Landsat Path/Row, Landsat time-series, Southwest Wyoming, U.S., All tags... US, USGS Science Data Catalog (SDC), United States, WY, Wyoming, climate change, field observation, fractional components, heat flow (earth), image collections, imageryBaseMapsEarthCover, land use change, long-term monitoring, multispectral imaging, plant community, shrubland, shrubland ecosystem, trends, Fewer tags Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1 These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84... Categories: Data; Tags: Great Lakes, Hancock County, Ohio, USGS Science Data Catalog (SDC), Water Resources, All tags... agriculture, multispectral imaging, orthophotographs, unmanned aircraft systems, visible light imaging, Fewer tags Rail Potential Habitat, Salton Sea, California, 2016 These data include potential Yuma Ridgway’s rail (Rallus obsoletus yumanensis) habitat classified from concurrently occurring Landsat images taken during telemetry field studies of and call count surveys for Yuma Ridgway's rail in 2016. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Landsat images, Listed birds, Salton Sea, Sonny Bono Salton Sea National Wildlife Refuge, Wister Waterfowl Management Area, All tags... animal tracking, biota, endangered species, multispectral imaging, vocalization methods, wetland ecosystems, Fewer tags County-level maps of cropland surface water inundation measured from Landsat and MODIS This dataset represents a summary of potential cropland inundation for the state of California applying high-frequency surface water map composites derived from two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with high-quality cropland maps generated by the California Department of Water Resources (DWR). Using Google Earth Engine, we examined inundation dynamics in California croplands from 2003 –2020 by intersecting monthly surface water maps (n=216 months) with mapped locations of precipitation amounts, rice, field, truck (which comprises truck, nursery, and berry crops), deciduous (deciduous fruits and nuts), citrus (citrus and subtropical), vineyards,... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: California, Geography, Hydrology, Landsat, MODIS, All tags... Remote Sensing, USGS Science Data Catalog (SDC), agricultural sites, agriculture, controlled flooding, farming, floods, hazard preparedness, image collections, imageryBaseMapsEarthCover, irrigation, multispectral imaging, Fewer tags Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Bioreactor These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84... Categories: Data; Tags: Door County, Great Lakes, USGS Science Data Catalog (SDC), Water Resources, Wisconsin, All tags... agriculture, multispectral imaging, orthophotographs, thermal imaging, unmanned aircraft systems, visible light imaging, Fewer tags Unburned areas within fire perimeters across the Inland Northwestern USA from 1984 to 2014 We established a Landsat-derived geospatial database of unburned islands within 2,298 fires across the Inland Northwestern US (including eastern Washington, eastern Oregon, and Idaho) from 1984-2014. The detection of unburned areas within these fires is based upon a classification tree approach that uses two pre- and post-fire Landsat image pairs (see Meddens et al 2016 for details). The data set consist of unburned patches within each fire that are two pixels or larger. This database will be useful for identifying fire refugia, seed sources, and can be used as an overall metric of fire impacts across the northwestern US. (Meddens, A.J., Kolden, C.A., & Lutz, J.A. (2016). Detecting unburned areas within wildfire... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, Fire, Idaho, Landscapes, All tags... Landscapes, Northwest CASC, Oregon, Other Landscapes, Washington, ecology, environment, geoscientificInformation, image collections, multispectral imaging, Fewer tags Land surface thermal feature change monitoring in urban and urban wild land interface We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in 50 cities of CONUS and its surrounding area by using surface temperature from Landsat surface temperature product in a time series manner. Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2020. The current study assessed UHI intensity and its variations associated with urban development in an annual basis. Two datasets, over the study period, show that the maximum surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. These released datasets were spatially... Categories: Data; Tags: CONUS, CONUS, Landsat ARD, Landsat Analysis Ready Data (ARD), United States, All tags... United States, climatologyMeteorologyAtmosphere, environment, heat flow (earth), image collections, land surface temperature (LST), land use change, multispectral imaging, urban heat island, Fewer tags Multispectral and visual photogrammetric data collected via sUAS: Back Bay National Wildlife Refuge, Virginia, July 2018 The U.S. Geological Survey collected multispectral and visible light imagery via a quadcopter, small unoccupied aircraft system (sUAS) deployed near Ashville Bridge Creek in Virginia Beach, VA. Approximately 0.25 sq mi surrounding U.S.Fish and Wildlife Service (USFWS) Back Bay National Wildlife Refuge along Ashville Bridge Creek approximately 0.5 mi south of Lotus Garden Park on July 17 and 18, 2018. Photos were collected at a height of 400ft above ground level (AGL) with approximately 70% frontlap between photos and approximately 30% sidelap between survey lines. Multispectral images were collected in a tif format using a Micasense RedEdge M with a Ground Sample Distance of 8.2 cm/pixel, visible light images were... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ashville Bridge Creek, Back Bay National Wildlife Refuge, City of Virginia Beach, Ecology, Environmental Health, All tags... Geomorphology, Remote Sensing, UAS, UAV, USGS Science Data Catalog (SDC), Virginia, Water Resources, Wildlife Biology, Wildlife Disease, aerial photography, coastal wetland, drone, image collections, imageryBaseMapsEarthCover, multispectral imaging, remote sensing, sUAS, unmanned aircraft system, unoccupied aircraft system, visible light imaging, Fewer tags Monthly summaries of pixel counts in Dynamic Surface Water Extent (DSWE) classes in level-8 HUCs in the greater Central Valley, California The dataset comprises a Landsat-derived assessment of monthly surface water extent within the study area (California's greater Central Valley). The surface water dataset is based on the algorithm for the Dynamic Surface Water Extent (DSWE) (Jones, 2019), which was adapted to the Google Earth Engine JavaScript environment. The level of spatial aggregation is by level-8 hydrologic unit code (HUC). Categories: Data; Tags: California, California Mountain, California Valley, Central California Valley, Landsat, All tags... Sierra Nevada Mountains, image collections, multispectral imaging, surface water (non-marine), surface water mapping, time series, Fewer tags Interior least tern sandbar nesting habitat measurements from Landsat TM imagery Sandbars of large sand-bedded rivers of the Central U.S. serve important ecological functions to many species, including the endangered Interior Least Tern (Sternula antillarum) (ILT). ILT are colonial birds which feed on fish and nest primarily on riverine sandbars during their annual breeding season of approximately May through July, depending on region. During this time, ILT require bare sand of sufficient elevation so as not to be inundated during the period between nest initiation and fledging of hatchlings. ILT were originally listed as endangered due in part to decreases in available sandbar habitat from river channelization and impoundment. Sandbars in Central U.S. rivers used by ILT are highly dynamic,... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arkansas River, Canadian River, Cheyenne River, Cimarron River, Interior Least Tern, All tags... Kansas River, Loup River, Mississippi River, Missouri River, Niobrara River, Platte River, Red River, State of Arkansas, State of Illinois, State of Indiana, State of Iowa, State of Kansas, State of Kentucky, State of Louisiana, State of Mississippi, State of Missouri, State of Montana, State of Nebraska, State of North Dakota, State of Oklahoma, State of South Dakota, State of Tennessee, State of Texas, Wabash River, Yellowstone River, bars (physiographic), image collections, inlandWaters, multispectral imaging, rivers, Fewer tags Digital map of iron sulfate minerals, other mineral groups, and vegetation of the western United States derived from automated analysis of Landsat 8 satellite data Multispectral remote sensing data acquired by Landsat 8 Operational Land Imager (OLI) sensor were analyzed using an automated technique to generate surficial mineralogy and vegetation maps of the conterminous western United States. Six spectral indices (e.g. band-ratios), highlighting distinct spectral absorptions, were developed to aid in the identification of mineral groups in exposed rocks, soils, mine waste rock, and mill tailings across the landscape. The data are centered on the western U.S. and cover portions of Texas, Oklahoma, Kansas, the Canada-U.S. border, and the Mexico-U.S. border during the summers of 2013 – 2014. Methods used to process the images and algorithms used to infer mineralogical composition... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Arizona, California, Canada, Colorado, Idaho, All tags... Kansas, Land Use Change, Mexico, Minnesota, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Remote Sensing, South Dakota, Texas, USGS Science Data Catalog (SDC), United States, Washington, Wyoming, agricultural fields, argillic, clay, computational methods, computational methods, computational methods, ferric iron, ferrous iron, geoscientificInformation, green vegetation, hydrothermal alteration, image analysis, image analysis, image analysis, iron hydroxide minerals, iron sulfate minerals, land use and land cover, land use and land cover, land use and land cover, marble, mica, mine waste, multispectral imaging, multispectral imaging, multispectral imaging, oxides, pyrite, remote sensing, remote sensing, remote sensing, Fewer tags Groundwater discharge areas and evapotranspiration units for the Amargosa Wild and Scenic River and contributing areas, Inyo and San Bernardino Counties, California This vector dataset consists of 2 polygon shapefiles representing the groundwater discharge areas (GDA) and evapotranspiration (ET) units for the Amargosa Wild and Scenic River and contributing areas. GDAs were delineated by visual interpretation and subdivided into ET units of moist soil, open water, and vegetated areas. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Amargosa River, California, California Valley, Chicago Valley, ET unit, All tags... Inyo County, Resting Springs, San Bernardino County, Shoshone, evaporation, evapotranspiration, geoscientificInformation, groundwater, groundwater discharge, groundwater flow, imageryBaseMapsEarthCover, inlandWaters, multispectral imaging, normalized difference vegetation index (NDVI), remote sensing, river systems, transpiration, vegetation index, Fewer tags Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 3 These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84... Categories: Data; Tags: Brown County, Great Lakes, USGS Science Data Catalog (SDC), Water Resources, Wisconsin, All tags... agriculture, multispectral imaging, orthophotographs, thermal imaging, unmanned aircraft systems, visible light imaging, Fewer tags Digital map of iron sulfate minerals, other mineral groups, and vegetation of the San Juan Mountains, Colorado, and Four Corners Region derived from automated analysis of Landsat 8 satellite data Multispectral remote sensing data acquired by the Landsat 8 Operational Land Imager (OLI) sensor were analyzed using a new, automated technique to generate a map of exposed mineral and vegetation groups in the western San Juan Mountains, Colorado and the Four Corners Region of the United States (Rockwell and others, 2021). Spectral index (e.g. band-ratio) results were combined into displayed mineral and vegetation groups using Boolean algebra. New analysis logic has been implemented to exploit the coastal aerosol band in Landsat 8 OLI data and identify concentrations of iron sulfate minerals. These results may indicate the presence of near-surface pyrite, which can be a potential non-point source of acid rock drainage.... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Arizona, Colorado, Four Corners region, Lake City caldera, New Mexico, All tags... San Juan Mountains, Silverton caldera, USGS Science Data Catalog (SDC), United States, Utah, agricultural fields, argillic, clay, computational methods, ferric iron, ferrous iron, geoscientificInformation, green vegetation, hydrothermal alteration, image analysis, iron hydroxide minerals, iron sulfate minerals, land use and land cover, marble, mica, mine waste, multispectral imaging, oxides, pyrite, remote sensing, Fewer tags Groundwater-level measurement data used to develop water-level altitude maps in the upper Rio Grande alluvial basins This part of the data release contains the water-level measurement data compiled and synthesized from various sources. This collection includes two tables that contain all the water-level measurements that were considered to develop the water-level altitude maps (Input_VisGWDB), and a table of median water-level data that were used to develop the water-level altitude maps (MedianWaterLevelData). These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level Altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande Focus Area Study, Colorado, New Mexico, and... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Abiquiu Reservoir, Ahumada, Alamosa, Alamosa County, Alamosa Creek, All tags... Alamosa River, Albuquerque, Anthony, Antonito, Archuleta County, Ascencion, Belen, Bernalillo County, Bonanza, Buenaventura, Caballo Reservoir, Catron County, Center, Chama, Chihuahua, Cibola County, Ciudad Juarez, Cochiti Lake, Colorado, Conejos County, Costilla County, Creede, Del Norte, Dona Ana County, El Paso, El Paso County, El Porvenir, Elephant Butte, Elephant Butte Reservoir, Espanola, Esperanza, Grants, Guadalupe, Hatch, Heron Reservoir, Hinsdale County, Horizon, Hudspeth County, Juarez, Las Cruces, Los Alamos County, McKinley County, Mexico, Mineral County, Monte Vista, Mora County, New Mexico, Praxedis G. Guerrero, Red River, Rio Arriba County, Rio Chama, Rio Grande, Rio Grande County, Rio Puerco, Rio Rancho, Rio Salado, Rio San Jose, Saguache County, Saguache Creek, San Agustin, San Elizario, San Isidro, San Juan County, San Luis, Sandoval County, Santa Fe, Santa Fe County, Sierra County, Socorro, Socorro County, South Fork, Taos, Taos County, Texas, Torrance County, Truth or Consequence, United States of America, Valencia County, aerial photography, domestic well water use, droughts, environment, evapotranspiration, field monitoring stations, floods, geographic information systems, geography, geology, geoscientificInformation, geospatial analysis, geospatial datasets, groundwater, groundwater and surface-water interaction, groundwater flow, hydrographic datasets, hydrologic processes, hydrology, image analysis, industrial water use, infrared imaging, inlandWaters, irrigation, land use and land cover, multispectral imaging, precipitation, public supply water use, regressional analysis, remote sensing, runoff, snow and ice cover, spatial analysis, statistical analysis, storms, streamflow, surface water, time series analysis, time series datasets, water budget, water chemistry, water cycle, water properties, water quality, water resources, water supply and demand, water use, Fewer tags Monthly summaries of pixel counts in Joint Research Centre Monthly Water History v1.0 dataset in level-8 HUC in the greater Central Valley, California from 1984 to 2015 The dataset comprises a Landsat-derived assessment of monthly surface water area within the study area (California's greater Central Valley). The surface water estimates are supplied by the European Commission's Joint Research Centre (JRC) Monthly Water History, v1.0. The level of spatial aggregation is by level-8 hydrologic unit code (HUC). Categories: Data; Tags: California, California Mountain, California Valley, Central California Valley, Landsat, All tags... Sierra Nevada Mountains, image collections, multispectral imaging, surface water (non-marine), surface water mapping, time series, Fewer tags Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Michigan Flume 2 These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84... Categories: Data; Tags: Genesee County, Great Lakes, Michigan, USGS Science Data Catalog (SDC), Water Resources, All tags... agriculture, multispectral imaging, orthophotographs, thermal imaging, unmanned aircraft systems, visible light imaging, Fewer tags Normalized Difference Index (NDX) Mosaic Composite for SALCC Salt Marshes Data set includes a mosaic of multiple Landsat 8 OLI sensor path/row combinations for May 14, 17, and 19, 2014 covering the South Atlantic Landscape Conservation Cooperative (SALCC) geography between extreme northeastern North Carolina (including Back Bay, VA-NC) south through Sapelo I., GA. The imagery was acquired as georeferenced, calibrated digital data. Water and upland masking used NIR thresholds, CCAP land cover, and LiDAR DEMs. The image composite includes three normalized difference indces useful for marsh classification and monitoring, including: 1) Normalized Difference Vegetation Index (NDVI), 2) Normalized Difference Water Index (NDSI), and 3) Normalied Difference Soil Index (NDSI). The NDX bands were... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Complete, Data, Data.gov South Atlantic Landscape Conservation Cooperative, Georgia, LCC Network Science Catalog, All tags... Landsat, Normalized Difference Indices, North Carolina, South Carolina Coastal, environment, environment, image collections, multispectral imaging, product, wetlands, Fewer tags Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in Northeast China Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images and environmental variables through applying the optimal k-nearest neighbor (kNN) imputation model.... Categories: Data; Tags: Biomass imputation, Changbai Mountains, Greater Khingan Mountains, Heilongjiang, Hulun Buir Plateau, All tags... Inner Mongolia, Jilin, Lesser Khingan Mountains, Liaohe Plain, Liaoning, MODIS, Northeast China, Sanjiang Plain, Songnen Plain, USGS Science Data Catalog (SDC), aboveground forest biomass, field inventory and monitoring, forest ecosystems, geoscientificInformation, imageryBaseMapsEarthCover, multispectral imaging, random forest model, Fewer tags Delineation and characterization of remotely sensed vegetation conditions in spring-dependent ecosystems, Harney County, Oregon This data release includes data processing scripts, data products, and associated metadata for a novel remote-sensing based approach to assess resilience of spring-dependent ecosystems to inter-annual changes in water availability. This approach uses remotely-sensed Normalized Difference Vegetation Index (NDVI) to (1) delineate surface moisture zones (SMZs) in the vicinity of mapped springs in a semi-arid sage-steppe landscape, (2) derive quantitative indicators of the relative resilience of these SMZs to inter-annual changes in water availability, and (3) synthesize these indicators into an overall resilience score for each cluster of springs. Specifically, for 39 spring clusters mapped in the National Hydrography... Categories: Data; Types: Citation; Tags: Climatology, Drought, Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, Groundwater-dependent ecosystems, All tags... Hydrogeology, Landscapes, Landscapes, Normalized Difference Vegetation Index, Northwest CASC, Oregon, Other Landscapes, Science Tools For Managers, Science Tools For Managers, State of the Science, State of the Science, Steens Mountain, USGS Science Data Catalog (SDC), Water Resources, biota, climatologyMeteorologyAtmosphere, environment, image collections, inlandWaters, multispectral imaging, springs (hydrographic), Fewer tags 1 2 »