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ASCIIdata Files containing spectral data in ASCII text format: measured spectra (ASCIIdata_splib07a.zip), including wavelength positions and bandpass (Full-Width at Half-Maximum; FWHM) values of channels in the spectrometers utilized spectra interpolated to a higher number of more finely-spaced channels (ASCIIdata_splib07b.zip) spectra convolved to other spectrometers, including the wavelength positions and bandpass (FWHM) values of the channels in the spectrometers, for example Analytical Spectral Devices standard resolution (ASCIIdata_splib07b_cvASD.zip) AVIRIS-Classic 2014 characteristics (ASCIIdata_splib07b_cvAVIRISc2014.zip) Hyperspectral Mapper 2014 characteristics (ASCIIdata_splib07b_cvHYMAP2014.zip) and...
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...
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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,...
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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....
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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...
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NASS USDA estimates the irrigated croplands at county level every five years. But this estimation does not provide the geospatial information of the irrigated croplands. To provide a comprehensive, consistent, and timely geospatially detailed information about irrigated cropland conterminous U.S. (CONUS), the "Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)" product was produced by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center with funding from several USGS programs (National Land Imaging and National Water-Quality Assessment). A primary objective was to identify, and map irrigated agricultural areas to...
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This tabular data set represents Enhanced Vegetation Index compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2.1 data suite by the unique identifier COMID. Units are 0-1, 0 being low vegetation, 1 being high vegetation. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative...
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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 land surface temperature (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. 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 remained urban...
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This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow. This model specifically includes field data of locations with >40% cover of cheatgrass (presence) and <40% cover of cheatgrass (absence) from two wildfire locations in Wyoming. Predictors included rasters derived from Landsat 8 imagery and from a digital elevation model. Details about both inputs are included in the associated manuscript described in the larger work citation of the '_archive_bundle_metadata.xml' metadata record. We developed models for each location and tested the transferability of the models to the other location. We built on previous work developing models for...
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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).
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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...
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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...
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HTMLmetadata Text files in HTML-format containing metadata about samples and spectra. Also included in the zip file are folders containing information linked to from the HTML files, including: README: contains a HTML version of the USGS Data Series publication, linked to this data release, that describes this spectral library (Kokaly and others, 2017). The folder also contains an HTML version of the release notes. photo_images: contains full resolution images of photos of samples and field sites. photo_thumbs: contains low-resolution thumbnail versions of photos of samples and field sites. GENERAL LIBRARY DESCRIPTION This data release provides the U.S. Geological Survey (USGS) Spectral Library Version 7 and...
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This data release provides the U.S. Geological Survey (USGS) Spectral Library Version 7 and all related documents. The library contains spectra measured with laboratory, field, and airborne spectrometers. The instruments used cover wavelengths from the ultraviolet to the far infrared (0.2 to 200 microns). Laboratory samples of specific minerals, plants, chemical compounds, and man-made materials were measured. In many cases, samples were purified, so that unique spectral features of a material can be related to its chemical structure. These spectro-chemical links are important for interpreting remotely sensed data collected in the field or from an aircraft or spacecraft. This library also contains physically-constructed...
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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....
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These data comprise 505 unique geospatial raster datasets which describe persistent river ice (aufeis) occurrence within floodplains of select rivers and creeks in the 1002 Area of the Arctic National Wildlife Refuge in northern Alaska. Each raster is derived from a historical observation made by one of five Landsat satellites. Surface reflectance in the green and shortwave infrared wavelengths are used to classify the aufeis occurrence within individual pixels. Pixel values of "1" correspond to aufeis presence while "0" corresponds to its absence. Rasters are generated from cloud and snow-filtered images captured between May and September for the years 1985-2022.
Data were obtained as part of a project assessing risk to the federal and California listed endangered Yuma Ridgway's rail (Rallus obsoletus yumanensis) populations resulting from selenium contaminated agricultural runoff and to inform habitat restoration and management decisions. Four data sets were produced and used to analyze patterns of Yuma Ridgway’s rail (Rallus obsoletus yumanensis, renamed from Rallus longirostris yumanensis [R. longirostris yumanensis retained in taxonomy section until further updated in ITIS system, https://www.itis.gov/submit.html]) occupancy and inter-marsh movements and to estimate rail abundance and regional population size to assess extent of selenium exposure of Yuma Ridgway’s rail...
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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...
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These data describe the water year (October-September) precipitation and summer (JJA) NDVI for the riparian areas along four creeks on the Silvies Valley Ranch. Each of these creeks had a series of rock checkdams installed between 2006 and 2011 to stop incision and raise the mean water level. Data in this file are used to examine the relationship between water year precipiation and summer NDVI in these watersheds and how that relationship may have changed with the installation of the dams.
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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,...


map background search result map search result map Delineation and characterization of remotely sensed vegetation conditions in spring-dependent ecosystems, Harney County, Oregon Interior Least Tern Sandbar Nesting Habitat Measurements from Landsat TM Imagery: Land Cover Type Addition Files Interior Least Tern Sandbar Nesting Habitat Measurements from Landsat TM Imagery: NAIP Validation Images Normalized Difference Index (NDX) Mosaic Composite for SALCC Salt Marshes Data for cheatgrass mapping in Squirrel Creek Wildfire and Arapaho Wildfire, WY in 2014 Silvies Valley Ranch Stream Restoration Sites, 1983-2016 Select attributes for NHDPlus version 2.1 reach catchments and modified network routed upstream watersheds for the conterminous United States, seasonal enhanced vegetation index, fall of 2011 through summer of 2012 Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in Northeast China 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 Groundwater-level measurement data used to develop water-level altitude maps in the upper Rio Grande alluvial basins Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Datasets for the Conterminous United States (MIrAD-US) Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Michigan Flume 2 Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 3 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 Yuma Ridgway’s Rail (Rallus obsoletus yumanensis) Population Surveys, Rail Movement, and Potential Habitat at the Salton Sea of California Annual land surface urban heat island hotspot from 1985 to present (Collection 1) Rasters of Observed Aufeis Deposits Within Rivers of the 1002 Area Based on Historical Landsat Imagery, 1985-2022 Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 3 Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Michigan Flume 2 Silvies Valley Ranch Stream Restoration Sites, 1983-2016 Yuma Ridgway’s Rail (Rallus obsoletus yumanensis) Population Surveys, Rail Movement, and Potential Habitat at the Salton Sea of California Data for cheatgrass mapping in Squirrel Creek Wildfire and Arapaho Wildfire, WY in 2014 Rasters of Observed Aufeis Deposits Within Rivers of the 1002 Area Based on Historical Landsat Imagery, 1985-2022 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 Interior Least Tern Sandbar Nesting Habitat Measurements from Landsat TM Imagery: NAIP Validation Images Groundwater-level measurement data used to develop water-level altitude maps in the upper Rio Grande alluvial basins Normalized Difference Index (NDX) Mosaic Composite for SALCC Salt Marshes 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 Interior Least Tern Sandbar Nesting Habitat Measurements from Landsat TM Imagery: Land Cover Type Addition Files Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in Northeast China Select attributes for NHDPlus version 2.1 reach catchments and modified network routed upstream watersheds for the conterminous United States, seasonal enhanced vegetation index, fall of 2011 through summer of 2012 Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Datasets for the Conterminous United States (MIrAD-US) Annual land surface urban heat island hotspot from 1985 to present (Collection 1)