Conference Proceeding

Wheat yields estimation using remote sensing and crop modeling in Yaqui Valley in Mexico

Inst. del Medio Ambiente y Desarrollo Sustentable del Estado de Sonora, Hermosillo, Mexico
08/2003; DOI:10.1109/IGARSS.2003.1294395 ISBN: 0-7803-7929-2 pp.2221 - 2223 vol.4 In proceeding of: Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International, Volume: 4
Source: IEEE Xplore

ABSTRACT Remote sensing and crop models have proved to be useful to monitor vegetation and estimate above ground biomass. In this study, NDVI from VEGETATION, MODIS, and Landsat reflectance data were compared with field measurements. The phenology was inferred and identified the main stages. LAI obtained from reflectance was used with the STICS model to give estimates of grain yield within about 5% of field measurements. No clear relationship was established between the sowing date and yield. Temperature seems to be the most important driver of wheat phenology.

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Keywords

clear relationship
 
crop models
 
field measurements
 
grain yield
 
ground biomass
 
LAI
 
Landsat reflectance data
 
main stages
 
MODIS
 
phenology
 
Remote
 
STICS model
 
wheat phenology