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These datasets are created during the irrigation reanalysis workflow (irrigation_reanalysis.zip). The actet_openet.cbh, potet_openet.cbh, and dyn_ag_frac.param area created during step one of the workflow when converting daily OpenET/SSEBop results into input for the NHM. The nhm_2000_2020_ag_irrigation_add.csv, and nhm_2000_2020_ag_irrigation_add_vol.csv area estimated daily results output by the NHM.
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A detailed inventory of irrigated crop acreage is not available at the level of resolution needed to accurately estimate agricultural water-use or to project future water demands in many Florida counties. A detailed summary table of irrigated acreage for the 2016 growing season was developed by the U.S. Geological Survey (USGS) for Escambia County, Florida, and includes totals of acreage by irrigation system. It also provides a comparison between published acreage totals for previous years by the U.S. Department of Agriculture (USDA) Census of Agriculture and those determined from the 2016 inventory. The irrigated acreage estimated by the USGS for the 2016 inventory was 3,018 acres.
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A detailed table summarizing the irrigated acreage by crop type and irrigation system was developed for the 2018 growing season (November 2017 and September 2018) for Sarasota County, Florida. The acreage totals presented are derived from the results of a cooperative project that mapped and field-verified irrigated fields in Sarasota County, Florida. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1978 and 1982 and the U.S. Department of Agriculture for years between 1987 and 2012.
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A detailed table summarizing the irrigated acreage by crop type and irrigation system was developed for the 2018 growing season (November 2017 and September 2018) for Hillsborough County, Florida. The acreage totals presented are derived from the results of a cooperative project that mapped and field-verified irrigated fields in Hillsborough County, Florida. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1978 and 1982 and the U.S. Department of Agriculture for years between 1987 and 2012.
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This data set consists of a detailed digital map of the areal extent of fields and a summary of the irrigated acreage for the 2018 growing season developed for DeSoto County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.
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A detailed table summarizing the irrigated acreage by crop type and irrigation system was developed for the 2018 growing season (November 2017 and September 2018) for Charlotte County, Florida. The acreage totals presented are derived from the results of a cooperative project that mapped and field-verified irrigated fields in Charlotte County, Florida. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1978 and 1982 and the U.S. Department of Agriculture for years between 1987 and 2012.
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The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product....
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This data release provides a monthly irrigation water use reanalysis for the period 2000-20 for all USGS Watershed Boundary Dataset of Subwatersheds (HUC12) in the conterminous United States (CONUS). Results include reference evapotranspiration (ETo), actual evapotranspiration (ETa), irrigated areas, consumptive use, and effective precipitation for each HUC12. ETo and ETa were estimated using the operational Simplified Surface Energy Balance (SSEBop, Senay and others, 2013; Senay and others, 2020) model executed in the OpenET (Melton and others, 2021) web-based application implemented in Google Earth Engine. Results provided by OpenET/SSEBop were summarized to hydrologic response units (HRUs) in the National Hydrologic...
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This data set consists of a detailed digital map of the areal extent of fields and a summary of the irrigated acreage for the 2018 growing season developed for Lee County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.
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This dataset contains a representation of developed lands projected to occur in the Alternative 2070 scenario from the Florida 2070 project. Florida 2070 and its companion project Water 2070 were a joint effort of 1000 Friends of Florida, the University of Florida's GeoPlan Center and the Florida Department of Agriculture and Consumer Services. The work was completed in December 2016. Florida 2070 produced three land use/population distribution scenarios Baseline 2010, Trend 2070 and Alternative 2070. The two 2070 scenarios are based on a population projection derived from data produced by the Florida Bureau of Economic and Business Research. This projection suggests approximately 15 million more people will live...
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Potential pollinator habitat was derived by ranking land use classifications and grassland quality based on ground truthing and remotely sensed features indicative of remnant prairie. High resolution (10m) land use data served as the basemap (Hartley et al 2017) from which most categories were identified. All known prairie remnants, prairie plantings, and clusters of mima mounds were delineated. Mima mounds were detected by deriving a slope at 1m scale with greater than 5% from high resolution LiDar data (3m). Mima mounds are indicative of areas in which the topsoil has not been significantly disturbed, and therefore have a higher potential to contain native prairie vegetation. Based on an in-depth literature review...
The Landsat-based Irrigation Dataset (LANID) uses a random-forest machine-learning model with greenness and vegetative indices, climate data, and crop masks to identify irrigated crops (Xie and others, 2021, Xie and Lark, 2021). Separate western US and eastern US methods are used to train and validate the model. Annual LANID maps for 2018-20 were created using the same techniques in Xie and others, 2021, and Xie and Lark, 2021.
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This dataset is the second (2013) of two 500-meter land use land cover (LULC) time-periods datasets (2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation using Esri’s ArcGIS Desktop...
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The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product....
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A detailed table summarizing the irrigated acreage by crop type and irrigation system was developed for the 2018 growing season (November 2017 and September 2018) for Lee County, Florida. The acreage totals presented are derived from the results of a cooperative project that mapped and field-verified irrigated fields in Lee County, Florida. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1978 and 1982 and the U.S. Department of Agriculture for years between 1987 and 2012.
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A detailed inventory of irrigated crop acreage is not available at the level of resolution needed to accurately estimate agricultural water-use or to project future water demands in many Florida counties. A detailed summary table of irrigated acreage for the 2016 growing season was developed for Okaloosa County by the U.S. Geological Survey (USGS) and includes totals of acreage by irrigation system. It also provides a comparison between published acreage totals for previous years by the U.S. Department of Agriculture (USDA) Census of Agriculture and those determined from the 2016 inventory. The irrigated acreage estimated by the USGS for the2016 inventory was 351 acres.
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Estimates of area and aerial extent of land-use categories are an essential component for computing the water budget of the High Plains aquifer. These raster land-use land class data represent yearly simulated future land use for the High Plains from 2009 to 2050 These data were developed using the FOREcasting SCEnarios (FORE-SCE) of future land cover model (Sohl and others, 2007; Sohl and Sayler 2008) for two (A2 and B2) of the...
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This dataset is the second (circa 2000) in a series of three 1-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation...
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A detailed table summarizing the irrigated acreage by crop type and irrigation system was developed for the 2018 growing season (November 2017 and September 2018) for Manatee County, Florida. The acreage totals presented are derived from the results of a cooperative project that mapped and field-verified irrigated fields in Manatee County, Florida. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1978 and 1982 and the U.S. Department of Agriculture for years between 1987 and 2012.
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This data set consists of a detailed digital map of the areal extent of fields and a summary of the irrigated acreage for the 2018 growing season developed for Hardee County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.


map background search result map search result map Grassland quality and pollinator habitat potential in Southwest Louisiana FL2070 Water Trends 2070 Table 1. Reported and inventoried crop and irrigated acreage in Escambia County, Florida, 1974–2016. Table 3. Reported and inventoried crop and irrigated acreage in Okaloosa County, Florida, 1974–2016. High resolution landcover for the Western Gulf Coastal Plain of Louisiana High resolution landcover for the Western Gulf Coastal Plain of Louisiana Table: Reported and inventoried crop and irrigated acreage in Charlotte County, Florida, 1978-2018 Table: Reported and inventoried crop and irrigated acreage in Sarasota County, Florida, 1978-2018 Table: Reported and inventoried crop and irrigated acreage in Manatee County, Florida, 1978-2018 GIS shapefile: Lee County, Florida irrigated agricultural land-use for the 2018 growing season Table: Reported and inventoried crop and irrigated acreage in Lee County, Florida, 1978-2018 Table: Reported and inventoried crop and irrigated acreage in Hillsborough County, Florida, 1978-2018 GIS shapefile: Hardee County, Florida irrigated agricultural land-use for the 2018 growing season GIS shapefile: DeSoto County, Florida irrigated agricultural land-use for the 2018 growing season Gambia Land Use Land Cover 2000 Capo Verde, Land Use Land Cover 2013 DS-777 Annual Model-Forecasted Land-Use/Land-Cover Rasters from 2009 to 2050 for the B2 Climate Scenario for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming Irrigation water use reanalysis for the 2000-20 period by HUC12, month, and year for the conterminous United States Table 3. Reported and inventoried crop and irrigated acreage in Okaloosa County, Florida, 1974–2016. GIS shapefile: DeSoto County, Florida irrigated agricultural land-use for the 2018 growing season GIS shapefile: Hardee County, Florida irrigated agricultural land-use for the 2018 growing season Table: Reported and inventoried crop and irrigated acreage in Charlotte County, Florida, 1978-2018 Table: Reported and inventoried crop and irrigated acreage in Sarasota County, Florida, 1978-2018 GIS shapefile: Lee County, Florida irrigated agricultural land-use for the 2018 growing season Table: Reported and inventoried crop and irrigated acreage in Manatee County, Florida, 1978-2018 Table: Reported and inventoried crop and irrigated acreage in Hillsborough County, Florida, 1978-2018 Table: Reported and inventoried crop and irrigated acreage in Lee County, Florida, 1978-2018 Gambia Land Use Land Cover 2000 High resolution landcover for the Western Gulf Coastal Plain of Louisiana Grassland quality and pollinator habitat potential in Southwest Louisiana High resolution landcover for the Western Gulf Coastal Plain of Louisiana Capo Verde, Land Use Land Cover 2013 FL2070 Water Trends 2070 DS-777 Annual Model-Forecasted Land-Use/Land-Cover Rasters from 2009 to 2050 for the B2 Climate Scenario for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming Irrigation water use reanalysis for the 2000-20 period by HUC12, month, and year for the conterminous United States