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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 Vegetation and water classifications for a segment of the Paria River upstream of the Colorado River Confluence, Arizona, USA These data represent total vegetation and surface water along approximately 12 kilometers of the Paria River upstream from the confluence of the Colorado River at Lees Ferry, Arizona. They are derived from airborne, multispectral imagery obtained in late May 2009, 2013, and 2021, collected with a push-broom sensor with 4 spectral bands depicting Blue, Green, Red and Near-Infrared wavelengths at a spatial resolution of 20 centimeters. The vegetation classification data were created using a supervised classification algorithm provided by Harris Geospatial in ENVI version 5.6.3 (Exelis Visual Information Solutions, Boulder, Colorado). The water data were created using a Green Normalized Difference Vegetation Index... Tags: Arizona, Botany, Cloud Optimized GeoTIFF data, Colorado River, Ecology, All tags... Geography, Glen Canyon, Glen Canyon Dam, Grand Canyon, Green Normalized Difference Vegetation Index, Hydrology, Information Sciences, Lees Ferry, Lonely Dell, Marble Canyon, Northern Arizona, Paria River, Remote Sensing, USGS Science Data Catalog (SDC), United States, Water Resources, airborne imagery, biota, change detection, classification maps, data release, ecosystem monitoring, flooding, gNDVI, image classification, image collections, imageryBaseMapsEarthCover, inlandWaters, maps and atlases, multispectral high resolution data, multispectral imaging, remote sensing, riparian vegetation, river ecosystems, river reaches, river systems, river tributaries, supervised classification, surface water (non-marine), total vegetation, vegetation, vegetation classification maps, water maps, wetland ecosystems, Fewer tags Aerial imagery data of the Colorado River Corridor, Arizona - 2021 In May 2021, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (Band 1 – red, Band 2 – green, Band 3 – blue, and Band 4 – near infrared) with a ground resolution of 20 centimeters (cm). These image data are available to the public as 16-bit GeoTIFF files, which can be read and used by most geographic information system (GIS) and image-processing software. The spatial reference of the image data are in the State Plane (SP) map projection using the central Arizona zone (FIPS 0202)... Tags: Arizona, Bright Angel Creek, Colorado River, Diamond Creek, GeoTIFF, All tags... Glen Canyon Dam, Grand Canyon, Havasu Creek, Kanab Creek, Lake Mead, Lake Powell, Lees Ferry, Leica ADS80/82, Little Colorado River, Marble Canyon, Page, Paria River, Peach Springs, Pearce Ferry, Shinumo Creek, Tapeats Creek, United States, aerial photography, airborne imagery, airborne multispectral high resolution data, data release, digital aerial imagery, four band image mosaic, image collections, image mosaics, imageryBaseMapsEarthCover, infrared imaging, multispectral imaging, natural color, near infrared, orthoimagery, remote sensing, Fewer tags Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, September 26, 2020 This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arundo cane, Arundo donax, Carrizo cane, Giant Reed, Rio Grande, All tags... Texas, USGS:644006a6d34ee8d4ade6cf31, Webb County, biota, geospatial analysis, image analysis, inlandWaters, multispectral imaging, panchromatic imaging, Fewer tags Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, May 07, 2021 This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arundo cane, Arundo donax, Carrizo cane, Giant Reed, Rio Grande, All tags... Texas, USGS:64400a5dd34ee8d4ade6cf50, Webb County, biota, geospatial analysis, image analysis, inlandWaters, multispectral imaging, panchromatic imaging, 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 Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study This part of the Data Release contains the raster representation of the water-level altitude and water-level change maps developed every 5 years from 1980-2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the water-level altitude maps can be found in the "Groundwater level measurement data used to develop water-level altitude maps in the upper Rio Grande Alluvial Basins" child item of this data release. 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... 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 Augustin, 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 SUHI Hotspot from MaxLST in persistent urban and new growth urban area of 50 cities of CONUS from 1985 to 2020 Surface Urban Heat Island (SUHI) hotspot data are defined as areas of statistically high land surface temperature (LST). A pixel is determined as statistically high if it exceeds one standard deviation above the mean of all pixels with similar land cover type. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual maximum land surface temperature (MaxLST) – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. The data is further separated into persistent urban and new urban outputs. Persistent Urban is defined as areas that are reported as urban in 1985 and... 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, maximum land surface temperature (MaxLST), multispectral imaging, new growth urban areas (NUA), persistent urban areas (PUA), surface urban heat island (SUHI), surface urban heat island hotspot (SUHIH), 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 Wetland Habitat Structure Maps for the Central Valley of California 2013-2017 We produced a time series of maps of habitat structure within wetlands of the Central Valley of California. The structure of open water and tall emergent vegetation, such as Typha spp. and Schoenoplectus spp., is critical for migratory birds. Through field observation and digitization of high resolution imagery we identified the locations of tall emergent vegetation, water, and other land cover. Using a random forest classification, we classified multispectral Landsat 8 imagery 2013-2017. We used images from the fall when most wetlands are flooded and the summer to separate trees and tall emergent vegetation. The final maps show the distribution and extent of tall emergent vegetation within wetlands. Final time... Tags: California, Central Valley, Central Valley of California, Ecology, Emergent Vegetation, All tags... Geography, LANDSAT, LANDSAT 8, Land Use Change, Landscape, Planet, Remote Sensing, Sacramento, San Joaquin, USGS Science Data Catalog (SDC), Wetlands, biota, birds, environment, habitats, image collections, migratory birds, multispectral imaging, remote sensing, satellite imagery, shore birds, wetland ecosystems, Fewer tags Land surface thermal feature (MaxLST) change monitoring in urban and urban wild land interface in 50 cities of CONUS from 1985-2020 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... Tags: CONUS, CONUS, Landsat ARD, Landsat Analysis Ready Data (ARD), United States, All tags... United States, climatologyMeteorologyAtmosphere, environment, heat flow (earth), image collections, land use change, maximum land surface temperature, multispectral imaging, urban heat island, Fewer tags Annual land surface urban heat island intensity from 1985 to present (collection 1) Surface Urban Heat Island (SUHI) intensity data is intended to quantify the difference between urban surface temperatures and the surrounding non-urban environment. The calculation takes the difference between a specific urban pixel’s land surface temperature (LST) and the mean of the cities non-urban LST. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual LST – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. NOTE: While a previous version is available from the author, all datasets for pilot cities can be found in version 5..0. 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, maximum land surface temperature (MaxLST), mean land surface temperature (MeanLST), multispectral imaging, surface urban heat island (SUHI), surface urban heat island intensity (SUHII), Fewer tags Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, June 30, 2020 This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arundo cane, Arundo donax, Carrizo cane, Giant Reed, Rio Grande, All tags... Texas, USGS:643fff1bd34ee8d4ade6ceda, Webb County, biota, geospatial analysis, image analysis, inlandWaters, multispectral imaging, panchromatic imaging, Fewer tags Four Band Multispectral High Resolution Image Mosaic of the Colorado River Corridor, Arizona - 2021 In May 2021, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (Band 1 – red, Band 2 – green, Band 3 – blue, and Band 4 – near infrared) with a ground resolution of 20 centimeters (cm). These image data are available to the public as 16-bit GeoTIFF files, which can be read and used by most geographic information system (GIS) and image-processing software. The spatial reference of the image data are in the State Plane (SP) map projection using the central Arizona zone (FIPS 0202)... Tags: Arizona, Bright Angel Creek, Colorado River, Diamond Creek, ESRI shapefile, All tags... GeoTIFF, Geography, Glen Canyon Dam, Grand Canyon, Havasu Creek, Information Sciences, Kanab Creek, Lake Mead, Lake Powell, Lees Ferry, Leica ADS80/82, Little Colorado River, Marble Canyon, Page, Paria River, Peach Springs, Pearce Ferry, Remote Sensing, Shinumo Creek, Tapeats Creek, USGS Science Data Catalog (SDC), United States, aerial photography, airborne imagery, airborne multispectral high resolution data, data release, digital aerial imagery, four band image mosaic, geographic information systems, geospatial datasets, image collections, image mosaics, imageryBaseMapsEarthCover, infrared imaging, multispectral imaging, natural color, near infrared, orthoimagery, remote sensing, study areas, Fewer tags Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017 We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. Vegetation maps were created by classifying Landsat imagery from 2007-2011 and 2013-2017. A support vector machine learning classifier was trained using phenology metrics of moist soil seed plants, emergent vegetation, water, and other land cover observed via field surveys and high resolution imagery. Productivity maps of swamp timothy were based on a regression model of seed head weight with Landsat vegetation indices.... Tags: California, Central Valley, Ecology, Environmental Health, Geography, All tags... Information Sciences, Remote Sensing, Sacramento, San Joaquin, USGS Science Data Catalog (SDC), Water Resources, Wildlife Biology, biota, environment, habitats, image collections, multispectral imaging, remote sensing, wetland ecosystems, Fewer tags Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017: Training and Testing Data We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory waterfowl. Through field observation and digitization of high resolution imagery we identified the locations of moist soil seed plants, tall emergent vegetation, water, and other land cover. Using a Support Vector Machine classification, we classified multispectral Landsat imagery from 2007-2011 and 2013-2017. We used images from May through August to create phenology metrics. The final datasets were used to train and test the... Tags: California, Central Valley, Sacramento, San Joaquin, biota, All tags... environment, habitats, image collections, multispectral imaging, remote sensing, wetland ecosystems, Fewer tags Enhanced Vegetation Index (EVI) parameter data products from Landsat 5, Landsat 8 MODIS and the Visible Infrared Imaging Radiometer Suite (VIIRS), Colorado River Delta, Mexico These data are a compilation of four mask layers (regions), and enhanced vegetation indices calculated from airborne or satellite imagery. The mask layers were used created to extract satellite EVI data from the four airborne or satellite imagery datasets. The Enhanced Vegetation Index (EVI) is a key Earth science parameter used to assess vegetation, originally developed and calibrated for the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellites. With the impending decommissioning of the MODIS sensors by the year 2020/2022, alternative platforms will need to be used to estimate EVI. These data were created to compare Landsat 5 (2000–2011), 8 (2013–2016) and the Visible Infrared... Tags: Arizona, California, Colorado River, Colorado River Delta, EVI, All tags... Ecology, Environmental Health, Geography, Information Sciences, Landsat images, MODIS, Mexico, Remote Sensing, USGS Science Data Catalog (SDC), VIIRS, biota, enhanced vegetation index, greenness, imageryBaseMapsEarthCover, moderate resolution imaging spectroradiometer, multispectral imaging, remote sensing, visible infrared imaging radiometer suite, Fewer tags DSWEmod surface water map composites generated from daily MODIS images - California USGS researchers with the Patterns in the Landscape – Analyses of Cause and Effect (PLACE) project are releasing a collection of high-frequency surface water map composites derived from daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Using Google Earth Engine, the team developed customized image processing steps and adapted the Dynamic Surface Water Extent (DSWE) to generate surface water map composites in California for 2003-2019 at a 250-m pixel resolution. Daily maps were merged to create 6, 3, 2, and 1 composite(s) per month corresponding to approximately 5-day, 10-day, 15-day, and monthly products, respectively. The resulting maps are available as downloadable files for each year. Each... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Dynamic Surface Water Extent, Geography, Hydrology, Inundation, All tags... Remote Sensing, USGS Science Data Catalog (SDC), environment, flooding, geoscientificInformation, imageryBaseMapsEarthCover, inland waterways, inlandWaters, multispectral imaging, surface water (non-marine), 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 SUHI Hotspots from MeanLST in persistent urban and new growth urban area of 50 cities of CONUS from 1985 to 2020 Surface Urban Heat Island (SUHI) hotspot data are defined as areas of statistically high land surface temperature (LST). A pixel is determined as statistically high if it exceeds one standard deviation above the mean of all pixels with similar land cover type. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual maximum land surface temperature (MeanLST) – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. The data is further separated into persistent urban and new urban outputs. Persistent Urban is defined as areas that are reported as urban in 1985 and... 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, mean land surface temperature (MeanLST), multispectral imaging, new growth urban areas (NUA), persistent urban areas (PUA), surface urban heat island (SUHI), surface urban heat island hotspot (SUHIH), Fewer tags 1 2 3 »