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