Monitoring US agriculture: The US department of agriculture, national agricultural statistics service, cropland data layer program

Geocarto International

Volumn 26, Issue 5, 2011, Pages 341-358

  Boryan, Claire ^a   Yang, Zhengwei ^a   Mueller, Rick ^a   Craig, Mike ^a  

^a Research and Development Division   (United States)

Author keywords

Advanced wide field sensor; Agriculture; Crop estimates; Cropland classification

Indexed keywords

AGRICULTURAL LAND; AGRICULTURE; CROP PRODUCTION; DATA SET; LAND COVER; MAPPING; SATELLITE IMAGERY;

UNITED STATES;

EID: 79960831514     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2011.562309     Document Type: Article

References (24)

1. Allen, J.D. and Hanuschak, G.A., 1988. The remote sensing applications program of the ational Agricultural Statistics Service: 1980-1987. U.S. Department of Agriculture, ASS Staff Report No. SRB-88-08.
2. Anderson, T., et al., 2005. USDA service center agencies geospatial data management team data anagement for common land unit data. Available from: http://www.itc.nrcs.usda.gov/scdm/docs/DMP-CLU-DataManagementPlan.pdf [Accessed February 10 2009].
3. Boryan, C.G. and Craig, M.E., 2005. Multiresolution landsat TM and AWiFS sensor ssessment for crop area estimation in Nebraska. Proceedings from Pecora 16, 22-27 October 2005, Sioux Falls, South Dakota.
4. Boryan, C.G., Craig, M.E., and Lindsey, M., 2008. Deriving essential dates of AWiFS and ODIS for the identification of corn and soybean fields in the U.S. heartland. In: Proceedings from Pecora 17, November 2008, Denver, Colorado.
5. Chang, J.C., et al., 2007. Corn and soybean mapping in the United States using MODIS timeseries ata sets. Agronomy Journal, 99, 1654-1664.
6. Congalton, R.G. and Green, K., 1999. Assessing the accuracy of remotely sensed data: rinciples and practices. Boca Raton: Lewis Publishers.
7. Craig, M., 2005. Using FSA administrative data in the NASS cropland data layer. Fairfax, VA: ASS/RDD/GIB/SARS. Draft as of 9/7/2005; write-up of FSA data used for Nebraska 002-2004 research; circulated administratively only in NASS.
8. Craig, M.E., 2001. The NASS cropland data layer program. Presented at the Third International Conference on geospatial information in agriculture and forestry, November 2001, Denver, Colorado.
9. Gelder, B., Cruse, R.M., and Kaleita, A.L., 2008. Automated determination of management units for precision conservation. Journal of Soil and Water Conservation, 63 (5), 273-279.
10. Heard, J., 2002. USDA establishes a common land unit. ESRI ArcUser Online. Available from: http://www.esri.com/news/arcuser/0402/usda.html [Accessed February 10 2010].
11. Homer, C., et al., 2004. Development of a 2001, national land cover database for the United States. Photogrammetric Engineering & Remote Sensing, 70 (7), 829-840.
12. Homer, C., et al., 2007. Completion of the 2001 national land cover database for the conterminous United States. Photogrammetric Engineering & Remote Sensing, 73 (4), 337-341.
13. Jensen, J.R., 2007. Remote sensing of the environment: an earth resource perspective. 2nd ed. Upper Saddle River, NJ: Prentice-Hall.
14. Johnson, D.M., 2008. A comparison of coincident landsat-5 TM and resourcesat-1 AWiFS imagery for classifying croplands. Photogrammetric Engineering & Remote Sensing, 74 (11), 1413-1423.
15. Liknes, G., Perry, C., and Meneguzzo, D., 2010. Assessing tree cover in agricultural landscapes using high-resolution aerial imagery. The Journal of Terrestrial Observation, 2 (1), 38-55.
16. Liu, W., Gopal, S., and Woodcock, C.E., 2004. Uncertainty and confidence in land cover classification using a hybrid classifier approach. Photogrammetric Engineering & Remote Sensing, 70 (8), 963-971.
17. Maxwell, S.K., Meliker, J., and Goovaerts, P., 2010. Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research. Journal of Exposure Science and Environmental Epidemiology, 20, 176-185.
18. Mueller, R., 2000. Categorized mosaicked imagery from the National Agricultural Statistics Service Crop Acreage Estimation Program. In: Proceedings of the ASPRS 2000 Conference, ASPRS [Available on the CD], May 2000, Bethesda, MD.
19. Ozga, M. and Craig, M.E., 1995. PEDITOR - statistical image analysis for agriculture. In: Presentation at the Washington Statistical Society (WSS) Seminar, USDA/NASS, April 1995, Washington, DC.
20. Quinlan, J.R., 1996. Bagging, boosting, and C4.5. In: Proceedings AAAI-96 fourteenth National Conference on Artificial Intelligence, Portland, OR.
21. Seffrin, R., 2007. Evaluating the accuracy of 2005 multitemporal TM and AWiFS imagery for cropland classification of Nebraska. In: Proceedings of the ASPRS 2007 Annual Conference, 7-11 May 2007, Tampa, Florida.
22. Shan, J., et al., 2010. Flood mapping with satellite images and its web service. Photogrammetric Engineering & Remote Sensing, 76 (2), 102-104.
23. Sun, W., et al., 2008. Mapping plant functional types from MODIS data using multisource evidential reasoning. Remote Sensing of Environment, 112 (3), 1010-1024.
24. USGS, 2010. Available from: http://landsat.usgs.gov/products_data_at_no_charge.php [Accessed May 10 2010].