Filters: Tags: Land use (X) > partyWithName: U.S. Geological Survey (X)
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This tabular data set represents the percent of land cover classes from the 2019 edition of the National Land Cover databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016 and 2019 compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. These databases can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021)" databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 produced by the United States Geological...
Annotated bibliography of grazing effects on amphibians and their habitats (ver. 2.0, February 2022)
This database contains literature citations and associated summaries pertaining to livestock grazing effects on amphibians and their habitats, with an emphasis on the Oregon spotted frog (Rana pretiosa) and other listed/sensitive wetland-breeding amphibians in the western United States. This is not meant to be an exhaustive list, nor did we perform a systematic meta-analysis; rather, literature records were included based on topical relevance. *HINT: If you are looking for the database SEARCH TOOL, scroll down to 'Attached Files' and download 'Annotated_bibliography_with_search_tool.accdb.' Open the database file to enter the search form.* This data release supersedes Rowe, J.C., Pearl, C.A., Adams, M.J., and McCreary,...
Categories: Data;
Tags: Aquatic Biology,
Ecology,
Land Use Change,
USGS Science Data Catalog (SDC),
Wildlife Biology,
A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Lafayette County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
Categories: Data;
Tags: Crop type,
Florida,
Florida Department of Agriculture and Consumer Services,
Groundwater,
Groundwater,
A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Bradford County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
Categories: Data;
Tags: Bradford County,
Crop type,
Florida,
Florida Department of Agriculture and Consumer Services,
Groundwater,
A table summarizing the irrigated acreage by crop type and irrigation system was compiled for January to December 2019 for Pasco County, Florida. The irrigated acreage totals were derived from analyses of aerial imagery and data were field verified in 2019. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.
Categories: Data;
Tags: Crop type,
Florida,
Florida Department of Agriculture and Consumer Service,
Groundwater,
Irrigation type,
This dataset is the third (circa 2013) 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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Gambia,
Land Cover,
Land Use,
biota,
land cover,
A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Columbia County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
Categories: Data;
Tags: Columbia County,
Crop type,
Florida,
Florida Department of Agriculture and Consumer Services,
Groundwater,
A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Madison County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
Categories: Data;
Tags: Crop type,
Florida,
Florida Department of Agriculture and Consumer Services,
Groundwater,
Groundwater,
A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Lake County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
Categories: Data;
Tags: Crop type,
Florida,
Florida Department of Agriculture and Consumer Services,
Groundwater,
Groundwater,
A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Miami-Dade County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were later field verified between January 2019 and February 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.
Categories: Data;
Tags: Crop type,
Florida,
Florida Department of Agriculture and Consumer Services,
Groundwater,
Groundwater,
This digital dataset contains three types of information about the land use properties used in the updated Central Valley Hydrologic Model (CVHM2): land use shapefile showing primary land use type for a model cell through time, soil data using the curve number for each region and zone, and farm process parameter values including crop coefficients and rooting depths. First posted - August 11, 2022 Revised - January 2023 (version 2.0) Revised - September 2023 (version 3.0)
Categories: Data Release - Revised;
Tags: California,
Central Valley,
Crop Coefficients,
Land Use,
Soil Data,
The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CONUS,
CONUS,
Conterminous,
Conterminous United States,
FORE-SCE,
This data release contains three 10-meter resolution GeoTIFFs representing 10-meter (35-foot), 30-meter (100-foot) and 90-meter (300-foot) riparian buffer zones along shorelines, rivers, streams, and other lotic (flowing) water features. The layers are binary, where the value of each cell represents the presence or absence of the buffer zone. In addition, the data release contains shapefile layers that document the extent of corrections that were made to the data to address errors in the stream network (see processing steps section for more details). The methodology combines various fine-scale input layers, including a 1:24k stream network and Chesapeake Bay 1-meter resolution Land Use/Land Cover to approximate...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake,
Delaware,
District of Columbia,
Ecology,
Forestry,
The Bing Maps team at Microsoft released a U.S.-wide vector building dataset in 2018, which includes over 125 million building footprints for all 50 states in GeoJSON format. This dataset is extracted from aerial images using deep learning object classification methods. Large-extent modelling (e.g., urban morphological analysis or ecosystem assessment models) or accuracy assessment with vector layers is highly challenging in practice. Although vector layers provide accurate geometries, their use in large-extent geospatial analysis comes at a high computational cost. We used High Performance Computing (HPC) to develop an algorithm that calculates six summary values for each cell in a raster representation of each...
This product provides tabular data from the U.S. Department of Agriculture (USDA) Census of Agriculture for selected items for the period 1950-2017 for counties in the conterminous United States. Data from 1950-2012 are taken from LaMotte (2015) and 2017 data are retrieved from the USDA QuickStats online tool. Data which are withheld in the Census of Agriculture are filled with estimates. The data include crop production values for 12 commodities (for example, corn in bushels), land use values for 7 land use types (for example, acres of total cropland), and 9 values for livestock types (for example, number of hogs and pigs). The data are largely intended as a 2017 update to the LaMotte dataset for items of research...
This dataset consists of a series of 1-kilometer rasters which provide a mapping of the estimated use of 101 agricultural pesticide compounds for the conterminous United States. Each compound is mapped annually for the years 2013 through 2017, thus there are 505 rasters posted (101 compounds x 5 years). The datasets were created by taking previously-published county-level estimates of kilograms of agricultural pesticide use, then allocating them to agricultural pixels from the 2016 National Land Cover Database, aggregated to 1-kilometer spatial resolution.
Categories: Data;
Tags: Agriculture,
Conterminous U.S.,
Dasymetric mapping,
Land use,
National Land Cover Database,
A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Gilchrist County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
Categories: Data;
Tags: Crop type,
Florida,
Florida Department of Agriculture and Consumer Services,
Gilchrist County,
Groundwater,
A table summarizing the irrigated acreage by crop type and irrigation system was compiled for January to December 2019 for Hernando County, Florida. The irrigated acreage totals were derived from analyses of aerial imagery and data were field verified in 2019. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.
Categories: Data;
Tags: Crop type,
Florida,
Florida Department of Agriculture and Consumer Service,
Groundwater,
Hernando County,
Categories: Project;
Tags: 2011,
Alaska-British Columbia Coast,
Alaska-British Columbia Mountains,
Klamath-Olympic-Cascade Mountains,
NPLCC,
A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Jefferson County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
Categories: Data;
Tags: Crop type,
Florida,
Florida Department of Agriculture and Consumer Services,
Groundwater,
Groundwater,
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