Wheat yield estimation using remote sensing and the STICS model in the semiarid Yaqui valley, Mexico

J. C. Rodriguez*, B. Duchemin, R. Hadria, C. Watts, J. Garatuza, A. Chehbouni, S. Khabba, G. Boulet, E. Palacios, A. Lahrouni

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


During the 1999/2000 agricultural seasons, an experiment was carried out on winter wheat fields in the semiarid Yaqui Valley (Northwest Mexico). This data set was used to calibrate the evolution of the leaf area index (LAI) simulated by STICS, which was found to be in excellent agreement with estimates obtained from field reflectance measurements. After calibration, STICS was able to simulate satisfactorily the seasonal levels and trends observed in net radiation, soil moisture and evapotranspiration, but the crop temperature was overestimated by about 2.5°C. On a larger scale, STICS was run on 16 fields with contrasting management practices. The simulations indicate that yield predictability is significantly lower for later sowing dates, consistent with observations. The seasonal variations of field and satellite data (Landsat-ETM+, Terra-MODIS and VEGETATION) NDVI were very close. However, some difficulties were noted: saturation of NDVI at high LAI values and smoothed variability on a 1-km spatial scale, as well as the need for a sound methodology for processing satellite data.

Original languageEnglish
Pages (from-to)295-304
Number of pages10
Issue number6-7
StatePublished - 2004
Externally publishedYes


  • Calibration
  • Crop model
  • LAI
  • NDVI
  • Reflectance
  • Remote sensing
  • Winter wheat


Dive into the research topics of 'Wheat yield estimation using remote sensing and the STICS model in the semiarid Yaqui valley, Mexico'. Together they form a unique fingerprint.

Cite this