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

Abstract

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
JournalAgronomie
Volume24
Issue number6-7
DOIs
StatePublished - 2004
Externally publishedYes

Keywords

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

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