Other CDL Citations:
Howard, Daniel, Bruce Wylie, and Larry L. Tieszen, 2013. Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA. International Journal of Remote Sensing, 33(19), 6094-6108.
Wright, Christopher, and Michael Wimberly, 2013. Recent land use change in the Western Corn Belt threatens grasslands and wetlands." Proceedings of the National Academy of Sciences (USA), 110(10): 4134-4139.
Muth Jr., D.J., K. Bryden, and R. Nelson, 2013. Sustainable agricultural residue removal for bioenergy: A spatially comprehensive US national assessment. Applied Energy 102, February 2013, pp. 403-417.
Johnston, Carol, 2013. Wetland Losses Due to Row Crop Expansion in the Dakota Prairie Pothole Region. Wetlands, 33: pp.175-182.
Plourde, James, Bryan Pijanowski, and Burak Pekin, 2013. Evidence for increased monoculture cropping in the Central United States. Agriculture, Ecosystems & Environment, 165(15), pp 50-59.
Stern, Alan, Paul Doraiswamy, and Ray Hunt, 2012. Changes of crop rotation in Iowa determined from the United States Department of Agriculture, National Agricultural Statistics Service cropland data layer product. Journal of Applied Remote Sensing, 6(1), Oct 30.
Faber, Scott and Soren Rundquist, 2012. Plowed Under Report from the Environmental Working Group, accessed 3/6/13 pp. 1-12.
Kutz, Frederick, John Morgan, Jeremy Monn, and Chad P. Petrey, 2012. Geospatial approaches to characterizing agriculture in the Chincoteague Bay Subbasin. Environmental Monitoring and Assessment, 184(2): 679-692.
Yang, Yubin, Lloyd Ted Wilson, Jing Wang, and Xiaobao Li, 2011. Development of an Integrated Cropland and Soil Data Management System for Cropping System Applications. Computers and Electronics in Agriculture, 76: 105-118.
Pittman, Kyle, Matthew Hansen, Inbal Becker-Reshef, Peter Potapov and Christopher Justice, 2010. Estimating Global Cropland Extent with Multi-year MODIS Data. Remote Sensing 2(7): 1844-1863.
Becker-Reshef, I, E. Vermote, M. Lindeman, and C. Justice, 2010. A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sensing of Environment, 114(6), 1312-1323.
Shao, Y., R. Lunetta, J. Ediriwickrema, J. Iiames, 2010. Mapping cropland and major crop types across the Great Lakes Basin using MODIS-NDVI data. Photogrammetric Engineering and Remote Sensing, 75(1), 73-84.
Thompson, Aaron and Linda Stalker Prokopy, 2009. Tracking urban sprawl: Using spatial data to inform farmland preservation policy. Land Use Policy, 26(2), 194-202.
Chang, Jiyul, Matthew Hansen, Kyle Pittman, Mark Carroll, and Charlene DiMiceli, 2007. Corn and Soybean Mapping in the United States Using MODIS Time-Series Data Sets. Agronomy Journal, 99:1654-1664.
Wardlow, B., S. Egbert, J. Kastens, 2007. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains. Remote Sensing of Environment, 108(3), 290-310.
Other CDL Websites:
Visit the Texas A&M AgriLife Research at Beaumont: iAMS Cropland Data
Visit a Bioenergy/CDL web mashup Bioenergy Knowledge Discovery Framework/U.S. Dept. of Energy