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This child item dataset contains a shapefile of water velocity observations made by an Acoustic Doppler Current Profiler (ADCP) during the 2018 survey, and includes measurements of water speed and direction along perpendicular transects of the Old Erie Canal.​ This data release contains spatial datasets of bathymetry, water velocity, water quality, and infrastructure of a 30.8 mile reach of the Old Erie Canal between the Town of DeWitt and its junction with the current Erie Canal of the New York State Canal System in Verona, near Rome, New York during 2018 and 2019.
Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2020 on July 16th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2019 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandLook Viewer (https://landlook.usgs.gov/) and Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle...
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This dataset contains 20-ft contours for the 2013 Sparta-Memphis aquifer potentiometric-surface map in Arkansas. The potentiometric-surface shows altitudes at which the water levels would have risen in tightly-cased wells and represents conditions during the period from January through May 2013. Groundwater-level data from 306 wells cased completely in and with the screened interval open to the Sparta-Memphis aquifer are publicly available from the U.S. Geological Survey’s National Water Information System.
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Observations of irrigated agricultural land within the Sacramento Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2023 on Sep 14th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program County Mosaic 2023 imagery for Arizona and supplemented with the Sentinel2 imagery collection accessed via the European Space Agency, Copernicus Browser (https://browser.dataspace.copernicus.eu/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation,...
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Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum...
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Observations of irrigated agricultural land within the Sacramento Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2021 on May 21st; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2021 and supplemented with Landsat and Sentinel2 imagery collections accessed via the Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992...
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Observations of irrigated agricultural land within the Lower San Pedro Groundwater Basin in Arizona. Crops were verified in situ once in 2020 on July 14th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2019 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandLook Viewer (https://landlook.usgs.gov/) and Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle...
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Observations of irrigated agricultural land within the Hualapai Valley Irrigation Non-Expansion Area Groundwater Basin in Arizona. Crops were verified in situ twice in 2023, first on May 10th and again on Sep 14th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program County Mosaic 2023 imagery for Arizona and supplemented with the Sentinel2 imagery collection accessed via the European Space Agency, Copernicus Browser (https://browser.dataspace.copernicus.eu/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle...
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Observations of irrigated agricultural land within the Willcox Groundwater Basin in Arizona. Crops were verified in situ three times in 2023, first on May 3rd, then on Aug 16th, and finally on Dec 19th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agriculture Imagery Program County Mosaic 2023 imagery for Arizona and supplemented with the Sentinel2 imagery collection accessed via the European Space Agency, Copernicus Browser (https://browser.dataspace.copernicus.eu/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating...
The U.S. Geological Survey collected groundwater samples from 17 wells in the Indio subbasin (CA basin designation 7-21.01) of the Coachella Valley and surface water samples from two sites representing sources of recharge to the Indio subbasin in 2021. These samples are intended to provide inorganic water quality data, particularly total dissolved solids (TDS), within areas of the Indio subbasin not sampled for the Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater used for domestic and small system drinking water supplies in Coachella Valley (CODA). Other areas of special interest for the Indio salinity study were nearby managed aquifer...
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Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2015 on April 23rd, based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2015 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix...
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Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2018 on July 17th, based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2017 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix...
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Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were verified in situ twice in 2017 on February 28th and July 17th, based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2017 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation,...
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Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/) were used to digitize field boundaries, as well as observe crop type, crop growing season, crop condition, and irrigation system characteristics. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified...
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The data contained within include high-water marks collected at 50 sites throughout the regions of New Jersey affected by significant flooding from Hurricane Ida during September of 2021. Each site contains between one to six associated high-water marks that were documented, photographed, and surveyed to datum. The datum represented by the elevations of the high-water marks is the North American Vertical Datum of 1988. All data (excluding photographs) associated with the high-water marks are contained within the data release associated with these metadata, as well as the USGS Short Term Network Flood Event Viewer (STN-FEV, U.S. Geological Survey (2021a)). Photographs can be found within the STN-FEV. A summary of...
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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,...
Observations of irrigated agricultural land within the Harquahala Irrigation Non-Expansion Area Groundwater Basin in Arizona. Crops were verified in situ three times in 2020 on first on March 11th, then on May 27th, and finally on August 11th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2019 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandLook Viewer (https://landlook.usgs.gov/) and Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season...
Observations of irrigated agricultural land within the Sacramento Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2020 on July 16th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2019 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandLook Viewer (https://landlook.usgs.gov/) and Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle...
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Observations of irrigated agricultural land within the Willcox Groundwater Basin in Arizona. Digitized field boundaries were used to locate crops for in situ verification twice in 2022; crop verification occurred first on May 17th and again on August 26th. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program County Mosaic 2021 imagery for Arizona and supplemented with Landsat and Sentinel2 imagery collections accessed via the Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified...
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An upward-looking acoustic Doppler velocity meter (ADVM, SonTek SW, 3.0 MHz) located in a tidal channel of the Nisqually River Delta at site D4 (N 47° 05’ 37”/W 122° 42’ 18.7”) measured water depth and current velocity at 15-minute intervals from October 13, 2016 to May 3, 2017. This site is in a tidal channel at a levee breach where flow is tidally influenced. The water depth of the sensor ranged from 0.19 to 3.71 m and may have been lower during periods of extreme low tide. The sensor elevation was adjusted during inspection on 10/03/2017 and a correction of +0.33 m was added to water depth from 10/03/2017 to 03/13/2017. The elevation (NAVD88) of the ADVM sensor was survey by RTN-GPS. The offset to convert all...


map background search result map search result map Spatial data: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes Water Data for Nisqually River Delta at Site D4 (ver. 1.1, December 2019) Sparta-Memphis aquifer water level altitude contour dataset in Arkansas, January-May 2013 (ver. 1.2, June 2021) Perpendicular water velocity observation points collected using ADCP during Old Erie Canal survey GIS file: Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2014 GIS file: Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2015 GIS file: Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2017 GIS file: Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2018 High-water marks in New Jersey following Hurricane Ida and associated floods, September 2021 Groundwater and surface water data for a regional assessment of groundwater salinity variations and sources in the Indio Subbasin of the Coachella Valley, California Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2020 Estimated crop irrigation water use withdrawals in Sacramento Valley Groundwater Basin, Arizona for 2020 Estimated crop irrigation water use withdrawals in Lower San Pedro Groundwater Basin, Arizona for 2020 Estimated crop irrigation water use withdrawals in Harquahala Irrigation Non-Expansion Area Groundwater Basin, Arizona for 2020 Estimated crop irrigation water use withdrawals in Sacramento Valley Groundwater Basin, Arizona for 2021 County-level maps of cropland surface water inundation measured from Landsat and MODIS Estimated crop irrigation water use withdrawals in Willcox Groundwater Basin, Arizona for 2022 Estimated crop irrigation water use withdrawals in Sacramento Valley Groundwater Basin, Arizona for 2023 Estimated crop irrigation water use withdrawals in Hualapai Valley Irrigation Non-Expansion Area Groundwater Basin, Arizona for 2023 Estimated crop irrigation water use withdrawals in Willcox Groundwater Basin, Arizona for 2023 Water Data for Nisqually River Delta at Site D4 (ver. 1.1, December 2019) GIS file: Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2014 Estimated crop irrigation water use withdrawals in Sacramento Valley Groundwater Basin, Arizona for 2021 Estimated crop irrigation water use withdrawals in Sacramento Valley Groundwater Basin, Arizona for 2023 Estimated crop irrigation water use withdrawals in Sacramento Valley Groundwater Basin, Arizona for 2020 GIS file: Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2015 GIS file: Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2017 Estimated crop irrigation water use withdrawals in Harquahala Irrigation Non-Expansion Area Groundwater Basin, Arizona for 2020 Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2020 Estimated crop irrigation water use withdrawals in Hualapai Valley Irrigation Non-Expansion Area Groundwater Basin, Arizona for 2023 GIS file: Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2018 Estimated crop irrigation water use withdrawals in Willcox Groundwater Basin, Arizona for 2023 Estimated crop irrigation water use withdrawals in Willcox Groundwater Basin, Arizona for 2022 Groundwater and surface water data for a regional assessment of groundwater salinity variations and sources in the Indio Subbasin of the Coachella Valley, California Estimated crop irrigation water use withdrawals in Lower San Pedro Groundwater Basin, Arizona for 2020 High-water marks in New Jersey following Hurricane Ida and associated floods, September 2021 Sparta-Memphis aquifer water level altitude contour dataset in Arkansas, January-May 2013 (ver. 1.2, June 2021) Spatial data: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes County-level maps of cropland surface water inundation measured from Landsat and MODIS