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A study to develop an earth observation monitoring system to detect harmful algal bloom (HABs) presence within selected north Texas reservoirs using satellite imagery was conducted by the U.S. Geological Survey (USGS). This data release provides the data collected for this study including site locations, water-quality, phytoplankton, and hyperspectral water surface reflectance data. Data were collected between September of 2019 and December of 2020 at 39 sites distributed across 16 reservoirs and 1 stream. The stream site was sampled in response to an algal bloom in August of 2019 in Austin Tex., and is included herein but the reservoir sites are the focus of this data release. The datasets include all routine and...
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The Upper Missouri River headwaters (UMH) basin (36 400 km2 ) depends on its river corridors to support irrigated agriculture and world-class trout fisheries. We evaluated trends (1984–2016) in riparian wetness, an indicator of the riparian condition, in peak irrigation months (June, July and August) for 158 km2 of riparian area across the basin using the Landsat normalized difference wetness index (NDWI). We found that 8 of the 19 riparian reaches across the basin showed a significant drying trend over this period, including all three basin outlet reaches along the Jefferson, Madison and Gallatin rivers. The influence of upstream climate was quantified using per reach random forest regressions. Much of the interannual...
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In this study, we developed a method that identifies an optimal sample data usage strategy and rule numbers that minimize over- and underfitting effects in regression tree mapping models. A LANDFIRE tile (r04c03, located mainly in northeastern Nevada), which is a composite of multiple Landsat 8 scenes for a target date, was selected for the study. To minimize any cloud and bad detection effects in the original Landsat 8 data, the compositing approach used cosine-similarity-combined pixels from multiple observations based on data quality and temporal proximity to a target date. Julian date 212, which yielded relatively low "no data and/or cloudy” pixels, was used as the target date with Landsat 8 observations from...
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Scientists and engineers from the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS) Cal/Val Center of Excellence (ECCOE) collected in situ measurements using field spectrometers to support the validation of surface reflectance products derived from Earth observing remote sensing imagery. Data provided in this data release were collected during selected Earth observing satellite overpasses and tests during the months of May through November 2021. These data were collected at six field sites during 2021. These field sites included South Dakota State University (SDSU) Research Park in Brookings, SD, near the Brookings Airport in Brookings, SD, a private land holding in Sanborn County,...
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This data set is combination of imagery from the Advanced Land Imager and Landsat 8 Surface reflectance data product covering three USGS gauge stations, Middle Haddam Connecticut (01193050), Potomac River at Little Falls (01646500), and the Susquehanna River at Darlington, Maryland (01579550) and the Sandy Hook to Jamaica Bays areas of the New York and New Jersey coast. Raw and corrected water quality data was collected from the NWIS database for the corresponding dates of Landsat 8 overpasses of all three sites. Calculations and functions from the Landsat bands were compared, such as band ratios and power functions were calculated and compared against the corrected data for Colored Dissolved Organic Matter. These...


    map background search result map search result map CDOM/fDOM and Landsat 8 Comparisons Landsat 8 six spectral band data and MODIS NDVI data for assessing the optimal regression tree models Data release for Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana Surface-water characteristics and phytoplankton taxonomy in selected north Texas reservoirs using biological, hyperspectral, and water-quality methods, 2019-2020 ECCOE 2021 Surface Reflectance Validation Dataset Data release for Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana Landsat 8 six spectral band data and MODIS NDVI data for assessing the optimal regression tree models CDOM/fDOM and Landsat 8 Comparisons Surface-water characteristics and phytoplankton taxonomy in selected north Texas reservoirs using biological, hyperspectral, and water-quality methods, 2019-2020 ECCOE 2021 Surface Reflectance Validation Dataset