Skip to main content
Advanced Search

Filters: Tags: Illinois (IL) (X) > Types: ArcGIS Service Definition (X)

7 results (73ms)   

View Results as: JSON ATOM CSV
thumbnail
These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. These data have been reclassified to only show current urban and probability of urbanization >80%). More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
thumbnail
The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
thumbnail
Version 10.0 of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, have been digitized from the 7.5-minute (1:24,000, 1:25,000-scale; and 1:10,000, 1:20,000 and 1:30,000-scale in Puerto Rico only) and the 15-minute (1:48,000 and 1:62,500-scale; 1:63,360-scale in Alaska only) archive of the USGS Historical Topographic Map Collection (HTMC), or acquired from available databases (California and Nevada, 1:24,000-scale...
Categories: Data, Data Release - Revised; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), All tags...
thumbnail
These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
thumbnail
The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
thumbnail
The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
thumbnail
The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...


    map background search result map search result map SLEUTH Projected Urban Growth _ old SLEUTH Projected Urban Growth [Subset >80% Probability of Urbanization] Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023) Potential Reforestation Index for the South at 2030 Potential Reforestation Index for the South at 2040 Potential Reforestation Index for the South at 2050 Potential Reforestation Index for the South at 2060 Potential Reforestation Index for the South at 2030 Potential Reforestation Index for the South at 2040 Potential Reforestation Index for the South at 2050 Potential Reforestation Index for the South at 2060 SLEUTH Projected Urban Growth [Subset >80% Probability of Urbanization] SLEUTH Projected Urban Growth _ old Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023)