{
 "culture": "en-US",
 "name": "LandCoverData",
 "guid": "A390FD6B-D639-4114-B16D-A2FF8E8FCAA8",
 "catalogPath": "",
 "snippet": "Landuse and biofuels",
 "description": "These are a collection of datasets that are potentially relevant to the National Science Foundation EPSCoR funded Biofuels and Climate Change project. The purpose of this NSF Major Initiatives grant is to improve the research infrastructure for examining farmers\u2019 decisions to grow crops as feedstocks for renewable energy production, such as corn as a feedstock for ethanol production. As the primary component of this infrastructure improvement, our research team is conducting a pilot project that examines decisions by Kansas farmers to grow biofuel crops over the period 2000 to 2012. Our analysis examines both first-generation biofuels, such as corn-based ethanol, which represent traditional food/feed crops, and second-generation biofuels, such as switchgrass, which represent designated fuel crops and use cellulosic sources. \n\nThe overarching objective of this research is to secure external funding to examine all US states producing biofuel crops. In order to achieve this overarching  objective, we have identified the following objectives: [1] establish a protocol for extracting useful information from a satellite remote sensing database on land use and land cover to examine all states producing biofuel crops; [2] develop a survey protocol for contacting farmers and a survey instrument for gathering information from these farmers; [3] develop a protocol for interviewing farmers; [4] integrate fully a variety of datasets providing information on key dimensions \u2013 land cover (derived from satellite remote-sensing data), land use (self-reported by farmers), various farm characteristics (recorded in the 2007 Agricultural Census), farmers\u2019 social perceptions, groundwater availability, farmers\u2019 annual water use, and surface water quality \u2013 in order to develop a rich, multi-layered database on land use decisions with human and environmental dimensions; [5] develop a unified set of cross-disciplinary empirical methods \u2013 both qualitative and quantitative \u2013 for identifying the driving factors behind farmers\u2019 land use decisions.\n\nThese data are intended for data visualization purposes.\n\nFor more information contact Kevin Dobbs (kevindobbs@ku.edu) at the Kansas Biological Survey.",
 "summary": "Landuse and biofuels",
 "title": "Biofuels Climate Change - Landuse Cover Data",
 "tags": [
  "agriculture",
  "aquifer",
  "biodiesel",
  "biofuel",
  "corn",
  "CRP",
  "ethanol",
  "landcover",
  "sorghum",
  "soybeans",
  "water resources"
 ],
 "type": "Map Service",
 "typeKeywords": [
  "Data",
  "Service",
  "Map Service",
  "ArcGIS Server"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
  [
   -102.298040480897,
   36.7745678286621
  ],
  [
   -94.4287267267874,
   40.1669314874088
  ]
 ],
 "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere",
 "accessInformation": "Dietrich Earnhart, PI, Chris Brown, co-PI, Steve Egbert / Kansas Biological Survey",
 "licenseInfo": ""
}