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Active channel as defined by remote sensing before (2010 and after (2011) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada.
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The data in this release re-map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-014-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-02, which are two video cameras aimed at the beach. In March 2023, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. Images of the beach for use in structure-from-motion...
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This child data release includes field spectra obtained as part of a study focused on mapping chinook salmon spawning locations along the American River near Sacramento, California, via remote sensing; the data were collected November 5-7, 2018. The purpose of this study was to develop and test a spectrally based technique for identifying salmon spawning locations, known as redds, from various types of remotely sensed data. Traditionally, redds have been mapped by eye while walking the bank or from a boat, or by an observer in an aircraft or an interpreter visually examining aerial images. The goal of this proof-of-concept investigation was to assess the potential for more efficient, objective, and automated...
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An unmanned aerial system (UAS) was used to acquire red/green/blue (RGB) and hyperspectral image data from the American River in California November 5-7, 2018, to support research on remote sensing of rivers, specifically mapping chinook salmon spawning locations (redds) as part of an overall salmon habitat assessment program. The RGB images were acquired uisng a DJI MAtrice 210 equipped with a Zenmuse 4S optical camera. Imagery was collected along several parallel flight lines to ensure full coverage of the study reach. Raw Zenmuse images were georeferenced using real-time kinematic (RTK) global positioning system (GPS) and inertial motion unit (IMU) data recorded onboard the UAS and individual flight strips were...
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Low-lying island environments, such as the Majuro Atoll in the Republic of the Marshall Islands, are particularly vulnerable to inundation (coastal flooding) whether the increased water levels are from episodic events (storm surge, wave run-up, king tides) or from chronic conditions (long term sea-level rise). Land elevation is the primary geophysical variable that determines exposure to inundation in coastal settings. Accordingly, coastal elevation data are a critical input for assessments of inundation exposure and vulnerability. Previous research has demonstrated that the quality of data used for elevation-based assessments must be well understood and applied to properly model potential impacts. The vertical...
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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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Low-altitude (70 m above ground level) aerial images were collected over five areas of interest within the northern portion of Assateague Island National Seashore (ASIS) in mid-October, 2022. These images were collected to generate photogrammetric products (e.g. digital surface model (DSM), reflectance orthomosaic) to support science and data needs of National Park managers attempting to locate invasive Phragmites australis expansion. A DJI Matrice 600 uncrewed aircraft system (UAS) was equipped with a MicaSense Altum-PT multispectral camera and a Ricoh GRII true-color RGB camera to collect images simultaneously with sufficient overlap for photogrammetric processing. Ground control points (GCPs), black and white...
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This dataset contains data collected during science flights using the drone-based QCam, which is a Doppler (velocity) radar designed to measure surface velocity and compute river discharge when channel bathymetry is known. Five science flights were conducted on four rivers including the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Data are presented in a comma separated values (CSV) file.
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This data release is comprised of tidal marsh biomass data and spatial predictions of peak biomass and Julian day of peak biomass using data from the Landsat archive. Aboveground biomass dry weight of mixed-species plots (25x50 cm) at a tidal marsh in Willapa Bay, Washington were used to establish a relationship between biomass and tasseled cap greeness (TCG). The julian day of annual peak greenness and the value of annual peak greenness for 32 years at Bandon National Wildlife Refuge (NWR), Grays Harbor NWR, and Nisqually NWR was calculated by fitting a Gaussian function to the TCG values for a given year. The value of each 30 meter pixel is the Julian day of maximum predicted TCG or the maximum predicted TCG....
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These data can be used in a geographic information system (GIS) for any number of purposes such as assessing wildlife habitat, water quality, pesticide runoff, land use change, etc. The State data sets are provided with a 300 meter buffer beyond the State border to faciliate combining the State files into larger regions. The user must have a firm understanding of how the datasets were compiled and the resulting limitations of these data. The National Land Cover Dataset was compiled from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30 meters and supplemented by various ancillary data (where available). The analysis and interpretation of the satellite imagery was conducted using very large,...
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This dataset represents land cover for southeastern Wyoming including the portion of Laramie County from Interstate 25 west, all of Albany and Carbon Counties and part of Sweetwater county. The landcover map was developed from Landsat Enhanced Thematic Mapper (ETM+) data acquired in the summer of 2002 using a series of unsupervised classifications and guided labeling of classes based on field data. The map was created between 2002 and 2004 for the Wyoming Game and Fish Department as part of a larger spatial database designed to be used to help guide their land management activities, particularly in shrublands. The original resolution of this map is 30 meters, the full resolution of the Landsat multispectral data....
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the...
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These datasets contain the attributes of individual trees located in and around Sequoia and Kings Canyon national parks. Attributes include remote sensing indices, terrain characteristics, and-- for the calibration data-- tree size and growth rates. Calibration data (mixedconifervulnerability_calibrationdataset.csv) were collected in long term research plots where trees are visited annually to check for mortality and periodically re-measured for diameter to capture growth. Validation data (mixedconifervulnerability_validationdataset.csv) were collected as part of a randomized sample located within a remote sensing 'flight box'. Remote sensing indices and terrain variables for both datasets were extracted from National...
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This dataset contains data pertaining to ground surface cover in 30 meter plots around a random selection of points within chaparral from Santa Barbara county south to San Diego County in southern California, USA. These data were obtained from historical aerial imagery from 1943 to 1959 and current imagery from 2016 to 2018 and they were compared to quantify changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J., Rustigian‐Romsos, H. and Keeley, J.E., 2022. Fire‐driven vegetation type conversion in southern California. Ecological Applications, p.e2626. https://doi.org/10.1002/eap.2626.
This data release is a summarization within the USGS Spatial Hydro-Ecological Decision System (SHEDS) framework of the Oregon State University PRISM Climate Group 30-year normal 800 meter resolution monthly, minimum and maximum temperature data and monthly precipitation data between 1991 and 2020. The output is a table consisting of the summarized values of these continuous variables for each local SHEDS catchment within the SHEDS Hydro-Region 2 along with a table of these variables individually processed through an upstream accumulation method for each catchment in SHEDS Region 2. This upstream accumulation method takes the local and upstream catchment values for a particular catchment, individually weighs them...
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The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in the eastern basin of Lake Erie. The second dataset was developed by object-based image analysis of high-resolution imagery (US waters < 6 meters deep) collected during peak biomass in 2018 to allow assessments of changes in SAV distribution. Assessing SAV abundance may contribute to inform the long-term impacts of Grass Carp, Common Carp, eutrophication, wind fetch and sedimentation on vegetation communities throughout Lake Erie and the impact these stressors may have on other organisms in the ecosystem. These data may also help inform the deployment of toxic bait deployments targeting...
map background search result map search result map National Land Cover Data Set 1992 for Wyoming 30 meter Land Cover 30m for Southeast Wyoming Data for climate-related variation in plant peak biomass and growth phenology across Pacific Northwest tidal marshes Inundation Exposure Assessment for Majuro Atoll, Republic of the Marshall Islands Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 LEAN-Corrected DEM for Suisun Marsh Active channel in the Lower Virgin River before and after a 40 yr flood (December 2010) Field spectra from salmon spawning locations on the American River, California, November 5-7, 2018 Hyperspectral and RGB image data used to map salmon spawning locations on the American River, California, November 5-7, 2018 Surface velocity data acquired from QCam (drone-based Doppler velocity radar) for the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Final surface model (SRF) for basin A1 Orthoimagery for basin A2 Digital elevation model (DEM) for basin A2 Digital terrain model (DTM) for basin B2 Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Eastern Basin, 2018 Calibration and Validation Data and Model Coefficients for Mixed Conifer Vulnerability Project from Sequoia and Kings Canyon National Park 2015 to 2019 Vegetation Type Conversion in Southern California Between 1943 and 2018 Multispectral aerial imagery collected during uncrewed aircraft systems (UAS) operations: Assateague Island National Seashore (ASIS), MD, October 10 - 14, 2022 Bathymetric data and grid of offshore Marconi Beach, Wellfleet, MA on March 20, 2023 Field spectra from salmon spawning locations on the American River, California, November 5-7, 2018 Hyperspectral and RGB image data used to map salmon spawning locations on the American River, California, November 5-7, 2018 Bathymetric data and grid of offshore Marconi Beach, Wellfleet, MA on March 20, 2023 Final surface model (SRF) for basin A1 Digital terrain model (DTM) for basin B2 Orthoimagery for basin A2 Digital elevation model (DEM) for basin A2 Multispectral aerial imagery collected during uncrewed aircraft systems (UAS) operations: Assateague Island National Seashore (ASIS), MD, October 10 - 14, 2022 Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 Inundation Exposure Assessment for Majuro Atoll, Republic of the Marshall Islands LEAN-Corrected DEM for Suisun Marsh Active channel in the Lower Virgin River before and after a 40 yr flood (December 2010) Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Eastern Basin, 2018 Data for climate-related variation in plant peak biomass and growth phenology across Pacific Northwest tidal marshes Land Cover 30m for Southeast Wyoming Vegetation Type Conversion in Southern California Between 1943 and 2018 National Land Cover Data Set 1992 for Wyoming 30 meter Surface velocity data acquired from QCam (drone-based Doppler velocity radar) for the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska