The Geospatial Data Gateway (GDG) provides access to a map library of over 100 high resolution vector and raster layers in the Geospatial Data Warehouse. It is the One Stop Source for environmental and natural resources data, at any time, from anywhere, to anyone. It allows you to choose your area of interest, browse and select data, customize the format, then review and download. This service is made available through a close partnership between the three Service Center Agencies (SCA); Natural Resources Conservation Service (NRCS), Farm Service Agency (FSA) and Rural Development (RD).
The Geospatial Data Gateway (GDG) provides access to a map library of over 100 high resolution vector and raster layers in the Geospatial Data Warehouse. It is the One Stop Source for environmental and natural resources data, at any time, from anywhere, to anyone. It allows you to choose your area of interest, browse and select data, customize the format, then review and download.This service is made available through a close partnership between the three Service Center Agencies (SCA); Natural Resources Conservation Service (NRCS), Farm Service Agency (FSA) and Rural Development (RD).
description: All of the ERS mapping applications, such as the Food Environment Atlas and the Food Access Research Atlas, use map services developed and hosted by ERS as the source for their map content. These map services are open and freely available for use outside of the ERS map applications. Developers can include ERS maps in applications through the use of the map service REST API, and desktop GIS users can use the maps by connecting to the map server directly.; abstract: All of the ERS mapping applications, such as the Food Environment Atlas and the Food Access Research Atlas, use map services developed and hosted by ERS as the source for their map content. These map services are open and freely available for use outside of the ERS map applications. Developers can include ERS maps in applications through the use of the map service REST API, and desktop GIS users can use the maps by connecting to the map server directly.
SSURGO consists of spatial data and a comprehensive relational database with tables that describe soil properties, interpretations and productivity values. The USDA Natural Resources Conservation Service (NRCS, formerly Soil Conservation Service) provides a download of the statewide SSURGO database that includes vector and raster spatial data, database tables and their relationship classes, and a user guide. To access SSURGO, go to the USDA NRCS Geospatial Data Gateway. To download the database, on the right side of the page, click on the Direct Data Download link under, I Want To... The Direct Data / NAIP Download page will then open. Click on the Soils Geographic Databases link. Then click on the folder named gSSURGO by State (date in folder name). Scroll through the list and select gSSURGO_NJ.zip. Then click on the Download button on the upper right. A message will open that Your Download is In Progress. You will then be prompted to select a file download location.
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The Southwestern Region is 20.6 million acres. There are six national forests in Arizona, five national forests and a national grassland in New Mexico, and one national grassland each in Oklahoma and the Texas panhandle.The region ranges in elevation from 1,600 feet above sea level and an annual rain fall of 8 inches in Arizona's lower Sonoran Desert to 13,171-foot high Wheeler Peak and over 35 inches of precipitation a year in northern New Mexico. Geographic Information Systems or GIS are computer systems, software and data used to analyze and display spatial or locational data about surface features. One of the strengths of GIS is the capability to overlay or compare multiple feature layers. A user can then analyze the relationship between the layers. Data, reports and maps produced through GIS are used by managers and resource specialists to make decisions about land management activities on National Forests. The National Forests of the Southwestern Region maintain and utilize GIS data for various features on the ground. Some of these datasets are made available for download through this page. Resources in this dataset:Resource Title: GIS Datasets. File Name: Web Page, url: https://www.fs.usda.gov/detail/r3/landmanagement/gis/?cid=STELPRDB5202474 Selected GIS datasets for the Southwestern Region are available for download from this page.Resource Software Recommended: ArcExplorer,url: http://www.esri.com/software/arcexplorer/index.html
URL from idinfo/citation in CSDGM metadata.
Images of specific land units as produced by aerial photography or satellite technologies.
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The Cropland Data Layer (CDL), hosted on CropScape, provides a raster, geo-referenced, crop-specific land cover map for the continental United States. The CDL also includes a crop mask layer and planting frequency layers, as well as boundary, water and road layers. The Boundary Layer options provided are County, Agricultural Statistics Districts (ASD), State, and Region. The data is created annually using moderate resolution satellite imagery and extensive agricultural ground truth. Users can select a geographic area of interest or import one, then access acreage statistics for a specific year or view the change from one year to another. The data can be exported or added to the CDL. The information is useful for issues related to agricultural sustainability, biodiversity, and land cover monitoring, especially due to extreme weather events. Resources in this dataset:Resource Title: CropScape and Cropland Data Layer - National Download. File Name: Web Page, url: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php Downloads available as zipped files at https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php --
National CDL's -- by year, 2008-2020. Cropland Data Layer provides a raster, geo-referenced, crop-specific land cover map for the continental United States. The CDL also includes a crop mask layer and planting frequency layers, as well as boundary, water and road layers. The Boundary Layer options provided are County, Agricultural Statistics Districts (ASD), State, and Region. National Cultivated Layer -- based on the most recent five years (2013-2020). National Frequency Layer -- the 2017 Crop Frequency Layer identifies crop specific planting frequency and are based on land cover information derived from the 2008 through 2020CDL's. There are currently four individual crop frequency data layers that represent four major crops: corn, cotton, soybeans, and wheat. National Confidence Layer -- the Confidence Layer spatially represents the predicted confidence that is associated with that output pixel, based upon the rule(s) that were used to classify it. Western/Eastern/Central U.S.
Visit https://nassgeodata.gmu.edu/CropScape/ for the interactive map including tutorials and basic instructions. These options include a "Demo Video", "Help", "Developer Guide", and "FAQ".
Web Soil Survey & Geospatial Data Gateway These requirements include:Provide a way to request data for an adhoc area of interest of any size.Provide a way to obtain data in real-time.Provide a way to request selected tabular and spatial attributes.Provide a way to return tabular and spatial data where the organization of that data doesn't hate to mirror that of the underlying source database.Provide a way to bundle results by request, rather tan by survey area.Click on Submit a custom request for soil tabular data, to input a query to extract data. For help click on:Creating my own custom database queries Index to SQL Library - Sample Scripts Using Soil Data Access website Using Soil Data Access web services
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. Data was downloaded Oct 2023 from U.S. Department of Agriculture, Natural Resources Conservation Service. Last Updated 2023.
A data delivery application that provides web-based access to of soil, water, climate, land management, and geospatial data produced by Conservation Effects Assessment Project (CEAP) watershed research sites across the United States. Data access via ArcGIS Server and MS SQL Server Enhanced data searches and summary options in Tools Access to high-resolution imagery in the Map>Table of Contents Enhanced graphing options on the Get Data page Transparency sliders for individual map components in the Map>Table of Contents Resources in this dataset:Resource Title: STEWARDS - A data delivery application for the USDA/ARS Conservation Effects Assessment Project. File Name: Web Page, url: https://www.nrrig.mwa.ars.usda.gov/stewards/stewards.html
A single point of access for data collected and managed by the United States Forest Service. Users can use the Geospatial Data Discovery Tool to access data about individual forests or grasslands or about an area of interest that they specify on the national map. Users can find and download datasets by topic area or theme or find and use map services published by the Agency.
Web Soil Survey (WSS) provides soil data and information produced by the National Cooperative Soil Survey. It is operated by the USDA Natural Resources Conservation Service (NRCS) and provides access to the largest natural resource information system in the world. NRCS has soil maps and data available online for more than 95 percent of the nation's counties and anticipates having 100 percent in the near future. The site is updated and maintained online as the single authoritative source of soil survey information.
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Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification. This data has been prepared as part of the Monitoring Trends in Burn Severity (MTBS) project. Due to the lack of comprehensive fire reporting information and quality Landsat imagery, burn severity for all targeted MTBS fires are not available. Additionally, the availability of burn severity data for fires occurring in the current and previous calendar year is variable since these data are currently in production and released on an intermittent basis by the MTBS project. Direct Download - https://www.mtbs.gov/direct-downloadMTBS Burn Area Boundary Full Metadata - https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.MTBS_BURN_AREA_BOUNDARY.xmlMTBS Fire Occurrence Point Full Metadata - https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.MTBS_FIRE_OCCURRENCE_PT.xmlFS Geodata Clearinghouse Downloads Page - https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=MTBSThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService Direct Data Download MTBS Burn Area Boundary Full Metadata MTBS Fire Occurrence Point Full Metadata For complete information, please visit https://data.gov.
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Provides the ArcGIS Rest Services URLs for the public facing, most current year 1-meter or higher resolution 4-band NAIP web services for the lower 48 states, served by USDA-FSA Aerial Photography Field Office. It also provides the URL for the seamline services, which provides the image dates and other pertinent information about the NAIP acquisition. In addition, there are reference points to how to download NAIP CCMs and how to order uncompressed NAIP digital ortho quarter quad tiles (DOQQs), historical NAIP, and other historical imagery dating back to 1955.
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NAIP imagery is acquired annually with the total coverage being determined by available funds from FSA and funding partners, considering FSA priorities. The NAIP acquires digital ortho imagery during the agricultural growing seasons in the contiguous U.S (lower 48 states). The NAIP provides 1-meter or 60cm ground sample distance (GSD) ortho imagery or optional (with partner buy-up) 1/2-meter GSD ortho imagery, with a horizontal accuracy of +/- 4 meters to true ground. The data deliverables consist of DOQQ tiles and Compressed County Mosaics formatted to the UTM coordinate system using the North American Datum of 1983 (NAD83). The NAIP imagery may contain as much as 10% cloud cover per tile. NAIP imagery is generally acquired in projects covering full states, and is typically available for distribution within 60 days of the end of a flying season. It is intended to provide current information of agricultural conditions in support of USDA farm programs. It is also used by federal cost share partners to meet their mission needs. The 2017 Planned Acquisition Map shown here may change depending on funding. For more information about possibly becoming a NAIP funding partner, please contact APFO, Bridget Barlow at bridget.barlow@slc.usda.gov
The United States Department of Agriculture National Agricultural Library Geospatial Data catalog contains geographic _location-based agricultural research data, imagery, research _location context, and more. Users can search records representing a variety of datasets, maps and graphics, aerial and phenocam images, and other services. Resources in this dataset:Resource Title: NAL Geodata. File Name: Web Page, url: https://geodata.nal.usda.gov/geonetwork/
Data Dictionary - https://gis.ers.usda.gov/arcgis/rest/services/foodaccess2015/MapServer/layers ERS GIS Map Services and API User Guide - https://www.ers.usda.gov/developer/geospatial-apis.aspx
This data set contains 4-band natural color and false color infrared (CIR) imagery from the National Agricultural Imagery Program (NAIP). NAIP acquires digital ortho imagery during the agricultural growing seasons in the continental U.S. A primary goal of the NAIP program is to enable availability of ortho imagery within one year of acquisition.
The source files are 60-centimeter (approx. 2-foot) ground sample distance (GSD) ortho imagery rectified to within +/- 4 meters to reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP) or from the National Agriculture Imagery Program (NAIP). The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 pixel buffer on all four sides. NAIP imagery is formatted to the UTM coordinate system using the North American Datum of 1983 (NAD83). NAIP imagery may contain as much as 10% cloud cover per tile.
The county mosaic files downloadable from the USDA NRCS Geospatial Data Gateway (natural color and color infrared) were generated by compressing NAIP imagery that covers the county extent. MrSID compression was used. Target value for the compression ratio is 40:1.
The Minnesota Geospatial Information Office (MnGeo) created this metadata record to describe the entire NAIP 2021 dataset, using information from FSA metadata. Each county file available from the USDA NRCS Geospatial Data Gateway is accompanied by the original FSA metadata for that county.
Data are intended for use in rural areas and therefore do not include land cover in cities and towns. Land cover classes (tree cover, other land cover, or water) were mapped using an object-based image analysis approach and supervised classification. These data are designed for conducting geospatial analyses and for producing cartographic products. In particular, these data are intended to depict the location of tree cover in the county. The mapping procedures were developed specifically for agricultural landscapes that are dominated by annual crops, rangeland, and pasture and where tree cover is often found in narrow configurations, such as windbreaks and riparian corridors. Because much of the tree cover in agricultural areas of the United States occurs in windbreaks and narrow riparian corridors, many geospatial datasets derived from coarser-resolution satellite data (such as Landsat), do not capture these landscape features. This dataset is intended to address this particular data gap. These data can be downloaded by county at the Forest Service Research Data Archive. Nebraska: https://www.fs.usda.gov/rds/archive/catalog/RDS-2019-0038 South Dakota: https://www.fs.usda.gov/rds/archive/catalog/RDS-2022-0068 North Dakota: https://www.fs.usda.gov/rds/archive/catalog/RDS-2022-0067 A Kansas dataset was also developed using the same methods and is located at: Kansas data download: https://www.fs.usda.gov/rds/archive/catalog/RDS-2019-0052 Kansas map service: https://data-usfs.hub.arcgis.com/documents/high-resolution-tree-cover-of-kansas-2015-map-service/explore
The Geospatial Data Gateway (GDG) provides access to a map library of over 100 high resolution vector and raster layers in the Geospatial Data Warehouse. It is the One Stop Source for environmental and natural resources data, at any time, from anywhere, to anyone. It allows you to choose your area of interest, browse and select data, customize the format, then review and download. This service is made available through a close partnership between the three Service Center Agencies (SCA); Natural Resources Conservation Service (NRCS), Farm Service Agency (FSA) and Rural Development (RD).