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

Author

Rodriguez, J.C. ; Duchemin, B. ; Watts, C.J. ; Hadria, R. ; Garatuza, J. ; Chehbouni, A. ; Boulet, G. ; Armenta, M. ; Er-Raki, S.

Author_Institution

Inst. del Medio Ambiente y Desarrollo Sustentable del Estado de Sonora, Hermosillo, Mexico

Volume

4

fYear

2003

fDate

21-25 July 2003

Firstpage

2221

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.

Keywords

crops; vegetation mapping; Mexico; Yaqui Valley; crop modeling; leaf area index; normalized difference vegetation index; remote sensing; vegetation monitoring; wheat yields estimation; Biomass; Crops; MODIS; Reflectivity; Remote monitoring; Remote sensing; Satellites; Temperature; Vegetation; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1294395

Filename

1294395