CropScape and Cropland Data Layer

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Announcements

Announcement1: The 2017 CDL at 30m resolution was released Jan. 29, 2018.

Announcement2: The reprocessed 2008 and 2009 CDLs at 30m resolution were released Dec 11, 2017. The associated confidence layers were also released.

Announcement3: Please visit/bookmark the CropScape portal at https://nassgeodata.gmu.edu/CropScape to visualize, interact, and download the CDL.

Announcement4: Users can download the national 2008 - 2016 CDL's & 2016 Confidence Layer from National Downloads. Warning many file sizes > 2gb.

Announcement5: View our latest presentations in .PDF format.

2017
2016
2015
  • Boryan, C., Z. Yang, and P. Willis, “A Novel Method for Area Frame Stratification based on Geospatial Crop Planting Frequency Data Layers” Proc. of the International Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, Milan, Italy, July 26 – 31, 2015. Posted 6/13/16.
  • Johnson, D., (2015). The role of remote sensing for regional monitoring of U.S. crop condition and yield, Evaluation of drought and drought impacts through interdisciplinary methods. Global Change Research Centre AS CR, ISBN: 978-80-87902-12-7, pp. 47-53. Posted 11/19/15.
  • Johnson, D., R. Mueller, and P. Willis, "The utility of the Cropland Data Layer for monitoring US grassland extent" Proceedings of the 3rd Biennial Conference on the Conservation of America's Grasslands. September 29-October 1, 2015, Fort Collins, CO. Washington, DC: National Wildlife Federation. Pages 15-19. Posted 07/08/2016.
  • Seffrin, R., 2015. From SAS® Data to Interactive Web Graphics Built Through PROC JSON, Southeast SAS Users Conference, Sept 27 - 29, 2015. Posted 11/18/15.
2014
  • Boryan, C., Z. Yang, L. Di, and K. Hunter, “A new automatic stratification method for U.S. agricultural area sampling frame construction based on the Cropland Data Layer,” pp. 1939-1404, May 2014, DOI: 10.1109/JSTARS.2014.2322584. Posted 11/18/15.
  • Boryan, C. and Z. Yang, "Operational implementation of a new automatic stratification method using geospatial cropland data layers in the NASS area frame section", Proceedings of IGARSS 2014 & 35th Canadian Symposium on Remote Sensing, Quebec City, Canada, July 13-18, 2014.
  • Han, W.,Z. Yang, L. Di, and B. Zhang, “Enhancing agricultural geospatial data dissemination and applications using geospatial Web services,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, VOL. 7, NO. 11, NOVEMBER, 2014. Posted 11/18/15.
  • Wang, C., C. Zhong, and Z. Yang, “Assessing bioenergy-driven agricultural land use change and biomass quantities with MODIS time series in the U.S. Midwest,” J. Appl. Remote Sens. 8(1), 085198 (Nov 03, 2014). DOI: 10.1117/1.JRS.8.085198. Posted 11/18/15.
  • Boryan, C., Z. Yang, and P. Willis, "US geospatial crop frequency data layers", August 11-14, 2014, Third International Conference on Agro-geoinformatics, Beijing, China, DOI:10.1109/Agro-Geoinformatics.2014.6910657. Posted 6/4/15.
  • Published from 2014 IEEE International Geoscience & Remote Sensing Symposium by C. Boryan and Z. Yang. Implementation of a new automatic stratification method using geospatial cropland data layers in NASS area frame construction July 13-18, 2014 Quebec City, Canada. Posted 6/4/15.
  • Published from 2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing by C. Boryan, Z. Yang, L. Di, and K. Hunt. "A New Automatic Stratification Method for U.S. Agricultural Area Sampling Frame Construction Based on the Cropland Data Layer" April 2014. Posted 7/22/14.
  • USDA Blog by R. Mueller. Need for Geospatial Data Grows Across the Country April 2014. Posted 7/22/14.
  • Published from 2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing by W. Han, Z. Yang, L. Di, B. Zhang and C. Peng. "Enhancing Agricultural Geospatial Data Dissemination and Applications Using Geospatial Web Services" V. 11 (7), March 2014 PP. 1-9. Posted 7/21/14.
  • Published from 2014 Journal of Geography by W. Han, Z. Yang, L. Di, A. Yagci, and S. Han. Making Cropland Data Layer Data Accessible and Actionable in GIS Education Posted 1/31/14.
  • Published from ASABE by W. Han, Z. Yang, L. Di, and P. Yue. A Geospatial Web Service Approach For Creating On-Demand Cropland Data Layer Thematic Maps 57(1), 239-247. Posted 6/4/15.
2013
2012
2011
2010

For questions and/or comments please contact the Geospatial Information Branch.


An independent CDL accuracy assessment performed by the University of Illinois at Urbana-Champaign Institute of Natural Resources Sustainability titled: Assessment and Potential of the 2007 USDA-NASS Cropland Data Layer for Statewide Annual Land Cover Applications


A CDL History White Paper: A brief history from 1971 to present

Last Modified: 05/21/2018