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Aerial images in the vicinity of USGS gaging station #07094500 Arkansas River at Parkdale, Colorado were collected on March 20-22, 2018, using Unmanned Aircraft Systems (UAS, or "drones"). Data were processed using structure-from-motion analysis to generate a three-dimensional point cloud that identifies pixels from multiple images representing the same object and calculates the x, y, and z coordinates of that object/pixel. The point cloud was processed to create a digital surface model of the site. Finally, source images were stitched together based on shared pixels and orthogonally adjusted to create a high resolution (approximately 2 cm pixel size) orthoimage for the study area. The orthomosaic image captures...
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To support research on remote sensing of rivers, specifically estimation of water depth from passive optical image data, hyperspectral image data and supporting depth measurements were collected on the Kootenai River in northern Idaho, September 27, 2017. This data release provides access to hyperspectral image acquired through this project and the supporting field-based measurements of depth and water column optical properties are available through related data releases. The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric...
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The data are a long-term (1980-present), daily reanalysis of reference evapotranspiration, covering the globe at a spatial resolution of 0.625° Longitude x 0.5° Latitude. Reference evapotranspiration is a measure of evaporative demand, or the "thirst of the atmosphere", basically how much moisture from the surface could evaporate into overpassing air, assuming (i) that enough water is available to evaporate and (ii) the surface is covered with a specific reference crop that completely shades the ground (some other conditions also apply). For this dataset, reference evapotranspiration is derived from the daily implementation of the Penman-Monteith reference evapotranspiration equation (Monteith, 1965) as codified...
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The purpose of the plowprint is to track annual grassland conversion to cropland across the Mississippi River Basin and Great Plains region, and to provide a way to measure the loss of this important habitat type, against which annual changes can be compared. This report tracks changes at the sub-regional scale, as well as in the context of the broader geography, and highlights key elements of change each year. The focus of this report is on changes in grassland conversion from 2014-2015, based on data from the USDA National Agricultural Statistics Service Cropland Data Layer and the Agriculture and Agri-Food Canada Annual Crop Inventory. For this analysis, cropland is defined as any annually planted agricultural...
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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,...
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The Middle East and North Africa (MENA) region is the most water-scarce region with only two percent of the global average annual rainfall, hence underground aquifers are the major source of water. The need to improve water productivity and increase aquifer storage and recovery (ASR) is driving the efforts for this acceleration of aquifer storage and recovery project. The objective was to model runoff in the study area using multi-source satellite data and identify regions of runoff retention and recharge. Daily runoff is simulated using a saturation excess principle with the VegET model (Senay 2008). It is a spatially explicit (500m grid cell), one-dimensional root-zone water balance model that is driven by precipitation,...
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The Bird Conservancy of the Rockies will use, combine and optimize an array of remote sensing techniques to identify the most efficient process that characterizes grasslands and level of shrub component in those grasslands. The project will classify a pilot area, the Janos Grassland Priority Conservation Area, which contains the majority of the Janos Biosphere Reserve, using a variety of remote sensing approaches. In the process they will identify the best techniques for decomposing grass-shrub intermix at low densities and identify the best approaches for large scale application of remote sensing to classify the desert grasslands and shrublands.
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We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of...
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This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al., 2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers...
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Bathymetric LiDAR data from the upper Sacramento River in northern California were acquired September 10-17, 2017, to support research on remote sensing of rivers, particularly mapping water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected using a Riefl VQ-880-Gairborne laser scanning system designed for combined hydrographic and topographic surveying. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed all processing of the raw LiDAR data. The data were acquired from fixed wing aircraft and were used to produce tiled point clouds in a .las format and interpolated topo-bathymetric...
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Corescan© Hyperspectral Core Imager Mark III (HCI-III) system data were acquired for hand samples, and subsequent billets made from the hand samples, collected during the U.S. Geological Survey (USGS) 2014, 2015, and 2016 field seasons in the Nabesna area of the eastern Alaska Range. This area contains exposed porphyry deposits and hand samples were collected throughout the region in support of the HyMap imaging spectrometer survey (https://doi.org/10.5066/F7DN435W) (Kokaly and others, 2017a). The HCI-III system consists of three different components. The first is an imaging spectrometer which collects reflectance data with a spatial resolution of approximately 500 nanometers (nm) for 514 spectral channels covering...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Alaska, Alaska, Alaska Range, Bond Creek, Canada, All tags...
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Hyperspectral image data from the Deschutes River near Bend, OR, were acquired on July 26, 2016 to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize habitat for amphibians, primarily the Oregon Spotted Frog (Rana pretiosa). These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. The contractor Quantum Spatial Inc. conducted the flight and ITRES performed the initial radiometric and geometric data processing. The data were acquired from fixed wing aircraft and have a spatial resolution (pixel sizes) from 0.5 m. The data set consists of 42 spectral bands spanning the visible...
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To support research on dispersion in river channels, a tracer dye experiment was performed on the Kootenai River in northern Idaho, September 25-27, 2017. This data release provides access to hyperspectral image acquired during the experiment and the supporting field-based measurements of reflectance and dye concentration are available through related data releases. The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric data processing was performed by ITRES and yielded images with 0.5 m pixels for each of 48 spectral bands...
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This USGS Data Release represents geospatial and tabular data for the Nisqually River Delta historical habitat mapping. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 9 separate items: 1. Forest Change (raster dataset) 2. Forest Type Change (raster dataset) 3. Functional Pathway Change (raster dataset) 4. 1957 Habitat Map (raster dataset) 5. 1980 Habitat Map (raster dataset) 6. 2015 Habitat Map (raster dataset) 7. 1980 Species Map (raster dataset) 8. 2015 Species Map (raster dataset) 9. Wetland Change (raster dataset) These data support...
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Multispectral satellite image data from the upper Sacramento River in northern California were acquired on October 18, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the WorldView-3 (WV3) satellite, operated by DigitalGlobe and obtained through the EnhancedView license program administered by the National Geospatial-Intelligence Agency (NGA); the image data remain copyright of DigitalGlobe (2018). DigitalGlobe performed initial radiometric and geometric processing of the image. The data were acquired from the WorldView-3...
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Introduction This data release is a compilation of known mass movements that generated seismic signals recorded by seismic networks. It represents a major update of a previous data release (Allstadt and others, 2017) available at https://doi.org/10.5066/F7251H3W. This update includes all events published in the previous data release along with more instances of landslides, debris flows, snow avalanches, outburst floods, and lahars, as well as new event types including mine collapses, a submarine landslide, a volcanic flank collapse, and a pyroclastic density current. The 2017 release included only mass movements in the western United States and Canada. The current data release adds new events in North America, and...
Final Report Abstract: More than half of the world’s population relies upon monsoonal rainfall that supports agriculture. While in many locations climate change is resulting in less moisture from fewer winter storms and more intense summer precipitation events, rural working landscapes (agricultural managed systems) are struggling to recover from increasingly extreme droughts and floods. The Cañada Alamosa watershed, a 420,000 acre in southwestern New Mexico (see figure 1), faces contemporary resource challenges common to the Southwest; overgrazing and fire suppression have led to a loss of deep soils and vegetative cover. This area’s traditional cultural practices of managed stormwater flooding of the historic...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2012, Alamosa Creek, Cañada Alamosa Watershed, Conservation Design, Data.gov Desert LCC, All tags...
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Assessment of temporal trends in vegetation greenness and related influences aids understanding of recent changes in terrestrial ecosystems and feedbacks from weather, climate, and environment. We analyzed 1-km normalized difference vegetation index (NDVI) time series data (1989–2016) derived from the Advanced Very High Resolution Radiometer (AVHRR) and developed growing-season time-integrated NDVI (GS-TIN) for estimating seasonal vegetation activity across stable natural land cover in the conterminous United States (CONUS). After removing areas from analysis that had experienced land-cover conversion or modification, we conducted a monotonic trend analysis on the GS-TIN time series and found that significant positive...
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Kansas is one of the most productive agricultural states in the United States, where agricultural irrigation is a primary user of underground and surface water. Because of low precipitation and declining groundwater levels in western and central Kansas, sustainable management of irrigation water resources is a critical issue in the agricultural productivity of the state. The objective of this study is to analyze and characterize the water use and water balance in the croplands of Kansas using satellite observations, meteorological data, and in situ irrigation water use records. We used actual evapotranspiration (ETa), precipitation, soil moisture, and irrigation water use to calculate water balance for Kansas in...
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An unmanned aerial system was used to acquire hyperspectral image data from the upper Sacramento River in northern California on September 13, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the Nano-Hyperspec imaging system, manufactured by Headwall Photonics, Inc. The flight was conducted by Headwall Photonics, Inc.; Headwall also performed the initial radiometric and geometric data processing. The data were acquired from a DJI Matrice M600 UAS and have a spatial resolution (pixel size) of 0.178 m. The data set consists...
map background search result map search result map Remote sensing to segregate grass and shrub mixed habitats in Janos Grassland Priority Conservation Area The Great Plains PlowPrint Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington R12AP80911 Final Report: Alamosa Creek and the Cañada Alamosa Community: Aligning ecological restoration and community interests through active experimentation Corescan© Hyperspectral Core Imager, Mark III system data collected for the characterization of mineral resources near Nabesna, Alaska, 2014-2016 Hyperspectral image data from the Deschutes River near Bend, OR, July 26, 2016 UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017 Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017 Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 Hyperspectral image data acquired during a tracer dye experiment on the Kootenai River, ID, September 27, 2017 Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 Modeling accumulated surface runoff and water availability for aquifer storage and recovery in the MENA region from 1984-2015 Orthorectified Mosaic Photograph of a Portion of the Arkansas River at Parkdale, Colorado, March, 2018 County-level maps of cropland surface water inundation measured from Landsat and MODIS Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data Temporal Greenness Trends in Stable Natural Land Cover and Relationships with Climatic Variability across the Conterminous United States Global reference evapotranspiration for food-security monitoring (ver. 2.1, April 2024) Wetlands in the state of Arizona Seismogenic Landslides and other Mass Movements (ver. 2.0, December 2023) Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021 Orthorectified Mosaic Photograph of a Portion of the Arkansas River at Parkdale, Colorado, March, 2018 Hyperspectral image data from the Deschutes River near Bend, OR, July 26, 2016 UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017 Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017 Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 Hyperspectral image data acquired during a tracer dye experiment on the Kootenai River, ID, September 27, 2017 Corescan© Hyperspectral Core Imager, Mark III system data collected for the characterization of mineral resources near Nabesna, Alaska, 2014-2016 R12AP80911 Final Report: Alamosa Creek and the Cañada Alamosa Community: Aligning ecological restoration and community interests through active experimentation Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington Remote sensing to segregate grass and shrub mixed habitats in Janos Grassland Priority Conservation Area Modeling accumulated surface runoff and water availability for aquifer storage and recovery in the MENA region from 1984-2015 Wetlands in the state of Arizona Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data County-level maps of cropland surface water inundation measured from Landsat and MODIS The Great Plains PlowPrint Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021 Temporal Greenness Trends in Stable Natural Land Cover and Relationships with Climatic Variability across the Conterminous United States Seismogenic Landslides and other Mass Movements (ver. 2.0, December 2023) Global reference evapotranspiration for food-security monitoring (ver. 2.1, April 2024)