HR: 1340h
AN: IN43B-1190    [Abstracts]
TI: A Comparison of the Hypertemporal Crop Mapping Abilities of NDVI Products Derived from both MODIS Surface Reflectance and Calibrated Geolocated Radiance Data
AU: * Hilbert, K
EM: khilbert@iftd.org
AF: Institute for Technology Development, Building 1103, Suite 118, Stennis Space Center, MS 39529, United States
AU: Lewis, D
EM: dlewis@iftd.org
AF: Institute for Technology Development, Building 1103, Suite 118, Stennis Space Center, MS 39529, United States
AU: O'Hara, C
EM: cgohara@gri.msstate.edu
AF: GeoResources Institute, Mississippi State University, Mississippi State, MS 39762, United States
AB: This project examined the usefulness of Moderate Resolution Imaging Spectroradiometer (MODIS)-derived hypertemporal, curve-fitted vegetation indices for agricultural mapping. The analysis focused on accurately mapping corn and soybean crops cultivated during the 2004 / 2005 growing season within Argentina's Córdoba and Santa Fe provinces—one of the world's most productive agricultural regions. Crop fields were selected according to field size in order to allow for the spatial resolution constraints of the MODIS sensor. Hypertemporal data sets were created by temporally filtering multiple dates of customized MODIS NDVI products. Hypertemporal data sets provide the ability to track phenology growth curves of different crop types and therefore provide discriminating temporal signatures as input for classification algorithms. Several supervised classification algorithms were used to investigate the ability of MODIS data to identify crop types. Conclusions were drawn from post classification confusion matrices derived from representative fields. Results will provide computational methods for furthering the informatics and operational capability of the USDA Production Estimates and Crop Assessment Division.
DE: 0402 Agricultural systems
DE: 0480 Remote sensing
DE: 0540 Image processing
DE: 6314 Demand estimation
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting