Search for geospatial/GIS data

Find GIS data held at MIT and other institutions

4,724 results returned

  1. Title: Cropland Data Layer, New York, 2020

    Contributors:

    Summary: The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2020 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 8 OLI/TIRS sensor, the Disaster Monitoring Constellation (DMC) DEIMOS-1, the ISRO ResourceSat-2 LISS-3, and the ESA SENTINEL-2 sensors collected during the current growing season. Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED) and the imperviousness and canopy data layers from the USGS National Land Cover Database 2016 (NLCD 2016). Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The most current version of the NLCD is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer. The purpose of the Cropland Data Layer Program is to use satellite imagery to (1) provide planted acreage estimates to the Agricultural Statistics Board for the state's major commodities and (2) produce digital, crop-specific, categorized geo-referenced output products.

  2. Title: Spread of Africanized Honey Bees in the United States, 1990-2005

    Contributors:

    Summary: This polygon shapefile portrays the spread, by year, of the Africanized honey bee (AHB) in the United States, Puerto Rico, and the U.S. Virgin Islands. The data indicate the year in which the AHB was first observed in a county. This is a revised version of the December 2004 map layer. This layer is part of the 1997-2014 edition of the National Atlas of the United States. These data are intended for geographic display and analysis at the national level, and for large regional areas. The data should be displayed and analyzed at scales appropriate for 1:2,000,000-scale data. No responsibility is assumed by the National Atlas of the United States in the use of these data. United States. Agricultural Research Service. (2006). Spread of Africanized Honey Bees in the United States, 1990-2005. National Atlas of the United States. Available at: http://purl.stanford.edu/fj542kq9240. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made by the U.S. Geological Survey regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. No responsibility is assumed by the U.S. Geological Survey in the use of these data. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

  3. Title: Cropland Data Layer, New York State, 2002

    Contributors:

    Summary: The USDA-NASS 2002 New York Cropland Data Layer (CDL) is a raster, geo-referenced, categorized land cover data layer produced using satellite imagery from the Thematic Mapper (TM) instrument on Landsat 5 and the Enhanced Thematic Mapper (ETM+) on Landsat 7. The imagery was collected between May 4, 2002 and September 12, 2002. The approximate scale is 1:100,000 with a ground resolution of 30 meters by 30 meters. The CDL emphasis is on agricultural land cover. The area of coverage is the entire State of New York. This land cover dataset is part of a one-time series in which ten Mid-Atlantic States were categorized based on the extensive field observations collected during the 2002 annual NASS June Agricultural Survey. No farmer reported data is included or derivable from the Cropland Data Layer. The area of coverage for the 2002 Mid-Atlantic CDL includes the entire states of Connecticut, Delaware, Maryland, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, Virginia and West Virginia. The funding for this project was shared between the USDA-NASS and Towson State University. The 2002 Mid-Atlantic CDL is currently a special one-time project. However, the possibility does exist to establish an annual cropland data layer for any state that shows significant interest and can offer an in-state cooperative agreement with another federal, state, local, or university agency or group. If interested, please contact the Section Head of the USDA-NASS Spatial Analysis Research Section at 703/877-8000. There are several additional Mid-Western States for which Cropland Data Layers are produced on an annual basis. The website below provides information and examples of all publicly available Cropland Data Layers: http://www.nass.usda.gov/research/Cropland/SARS1a.htm The purpose of the Cropland Data Layer Program is to use satellite imagery to (1) provide supplemental acreage estimates for the state's major commodities and (2) produce digital, crop specific, categorized geo-referenced output products. These data are intended for geographic display and analysis at the state level. The cropland data layers are provided "as is". USDA-NASS does not warrant results you may obtain using the data.

  4. Title: Cropland Data Layer, New York, 2010

    Contributors:

    Summary: The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2010 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Dataset 2001 (NLCD 2001), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2001 is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer. The purpose of the Cropland Data Layer Program is to use satellite imagery to (1) provide acreage estimates to the Agricultural Statistics Board for the state's major commodities and (2) produce digital, crop-specific, categorized geo-referenced output products.

  5. Title: Cropland Data Layer, New York State, 2009

    Contributors:

    Summary: The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer with a ground resolution of 56 meters. The CDL is produced using satellite imagery from the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. Some Cropland Data Layer states used Landsat 5 TM and/or Landsat 7 ETM+ satellite imagery to supplement the classification. Ancillary classification inputs include: the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Dataset 2001 (NLCD 2001), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2001 is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer. The purpose of the Cropland Data Layer Program is to use satellite imagery to (1) provide acreage estimates to the Agricultural Statistics Board for the state's major commodities and (2) produce digital, crop-specific, categorized geo-referenced output products.

  6. Title: Cropland Data Layer, New York State, 2008

    Contributors:

    Summary: The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer with a ground resolution of 56 meters. The CDL is produced using satellite imagery from the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. Ancillary classification inputs include: the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Dataset 2001 (NLCD 2001), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2001 is used as non-agricultural training and validation data. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer. The purpose of the Cropland Data Layer Program is to use satellite imagery to (1) provide acreage estimates to the Agricultural Statistics Board for the state's major commodities and (2) produce digital, crop-specific, categorized geo-referenced output products.

  7. Title: USA (National Park System Boundaries, 2008)

    • Polygon data ; Point data ; Mixed
    • 2008
    Contributors:

    Summary: National Park Service unit boundaries.

  8. Title: USA (Major Parks, 2006)

    • Polygon data
    • 2006
    • MIT authentication required
    Contributors:

    Summary: U.S. Major Parks represents National Parks, National Forests, State and local parks and forests within United States.

  9. Title: USA (Parks, 2000)

    • Polygon data
    • 2000
    • MIT authentication required
    Contributors:

    Summary: U.S. Parks represents National Parks, National Forests, State and local parks and forests within United States.

  10. Title: Official state map, and preliminary geologic and economic map of North Dakota

    Contributors:

    Summary: Relief shown by hachures.; "Approved by Frank White, Governor of North Dakota, and R.J. Turner, Commissioner of Agriculture & Labor." 36 x 56 centimeters Scale not given. General Map Collection

  11. Title: U.S. Major Parks, 2013

    Contributors:

    Summary: U.S. Major Parks represents National Parks, National Forests, State and local parks and forests within the United States.

  12. Title: U.S. Major Parks 2008

    Contributors:

    Summary: U.S. Major Parks represents National Parks, National Forests, State and local parks and forests within United States.

  13. Title: U.S. Parks 2002

    Contributors:

    Summary: U.S. Parks represents National Parks, National Forests, State and local parks and forests within United States.

  14. Title: U.S. National Parks and Reserves

    Contributors:

    Summary: U.S. National Parks represents National Parks and Reserves within United States.

  15. Title: U.S. National Parks, Forests, State and Local Parks

    Contributors:

    Summary: U.S. Parks represents National Parks, National Forests, State and local parks and forests within United States.

  16. Title: U.S. Parks

    Contributors:

    Summary: U.S. Parks represents National Parks, National Forests, State and local parks and forests within United States.

  17. Title: U.S. Parks 2000

    Contributors:

    Summary: U.S. Parks represents National Parks, National Forests, State and local parks and forests within United States.

  18. Title: United States Major Parks, 2012

    Contributors:

    Summary: United States Major Parks is a polygon theme representing National Parks, National Forests, State and local parks and forests within the United States.

  19. Title: Lewis & Clark Expedition Route

    Contributors:

    Summary: This vector follows the official route of Lewis & Clark and Corps of Discovery from 1804-1806. This historic trail extends 3,700 miles, crossing 11 states from Illinois to Oregon. Historic channel data developed by James D. Harlan of the University of Missouri; Lewis and Clark overland trail data created by Steve F. Russell of Iowa State University; and Lewis and Clark Trail Maps produced by Martin Plamondon II. Data includes inbound and outbound information, leader of trail section, and whether overland or by river.

  20. Title: Field Boundaries

    Contributors:

    Summary: Field boundaries for Napa County.

Need help?

Ask GIS