Improved techniques for crop classification using MODIS imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2006, Pages 2084-2087

  Doraiswamy, Paul C ^a   Akhmedov, Bakhyt ^b   Stern, Alan J ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b SCIENCE SYSTEMS AND APPLICATIONS INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SENSORS; IMAGING TECHNIQUES; REMOTE SENSING;

CROP CLASSIFICATION; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER (MODIS);

CROPS;

EID: 34948858860     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.539     Document Type: Conference Paper

References (8)

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2. Defries, R., Hansen, M., and Townshend, J., 1995. Global Discrimination of Land Cover Types from Metrics Derived from AVHRR pathfinder Data. Remote Sensing of the Environment, 54:209-222.
3. Ferraira, L.G. and Huete, A.R., 2004. Assessing the seasonal dynamics of the Brazilian Cerrado vegetation through the use of spectral vegetation indices, International Journal of Remote Sensing, 2510:1837-1860.
4. Wardlow B.D. and S.L. Egbert, 2005. State-Level Crop Mapping in the U.S. Central Great Plains Agroecosystem using MODIS 250-meter NDVI Data, Proceedings of Pecora 16, Oct 25-27, 2005, Sioux Falls, SD, unpaginated CD-ROM
5. Doraiswamy, P.C., Sinclair, T.R., Hollinger, S., Akhmedov, B., Stern, A., Prueger, J., 2005a. Application of MODIS derived parameters for regional yield assessment, Remote Sensing of Environment. 97(2), 192-202.
6. Jonsson, P. and Eklundh, L., 2004. TIMESAT - A program for analyzing time-series of satellite sensor data, Computer & Geosciences. 30, 833- 845.
7. IGBE. The Brazilian Institute for Geography and Statistics. http://www.ibge.gov.br/
8. U.S. Department of Agriculture, Foreign Agricultural Service. http://www.pecad.fas.usda.gov/highlights/2006/03/brazil_10mar2006/