Constraining a physically based Soil-Vegetation-Atmosphere Transfer model with surface water content and thermal infrared brightness temperature measurements using a multiobjective approach

Jérôme Demarty, Catherine Ottlé, Isabelle Braud, Albert Olioso, Jean Pierre Frangi, Hoshin Vijai Gupta, Luis A. Bastidas

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

This article reports on a multiobjective approach which is carried out on the physically based Soil-Vegetation-Atmosphere Transfer (SVAT) model. This approach is designed for (1) analyzing the model sensitivity to its input parameters under various environmental conditions and (2) assessing input parameters through the combined assimilation of the surface water content and the thermal infrared brightness temperature. To reach these goals, a multiobjective calibration iterative procedure (MCIP) is applied on the Simple Soil Plant Atmosphere Transfer-Remote Sensing (SiSPAT-RS) model. This new multiobjective approach consists of performing successive contractions of the feasible parameter space with the multiobjective generalized sensitivity analysis algorithm. Results show that the MCIP is an original and pertinent approach both for improving model calibration (i.e., reducing the a posteriori preferential ranges) and for driving a detailed SVAT model using various calibration data. The usefulness of the water content of the upper 5 cm and the thermal infrared brightness temperature for retrieving quantitative information about the main input surface parameters is also underlined. This study opens perspectives in the combined assimilation of various multispectral remotely sensed observations, such as passive microwaves and thermal infrared signals.

Original languageEnglish (US)
Pages (from-to)1-15
Number of pages15
JournalWater Resources Research
Volume41
Issue number1
DOIs
StatePublished - Jan 2005

Fingerprint

Soil Vegetation Atmosphere Transfer models
Earth atmosphere
Surface waters
brightness temperature
Temperature measurement
Water content
Luminance
surface water
calibration
water content
Infrared radiation
Soils
heat
atmosphere
Calibration
vegetation
temperature
soil
remote sensing
contraction

ASJC Scopus subject areas

  • Environmental Science(all)
  • Environmental Chemistry
  • Aquatic Science
  • Water Science and Technology

Cite this

Constraining a physically based Soil-Vegetation-Atmosphere Transfer model with surface water content and thermal infrared brightness temperature measurements using a multiobjective approach. / Demarty, Jérôme; Ottlé, Catherine; Braud, Isabelle; Olioso, Albert; Frangi, Jean Pierre; Gupta, Hoshin Vijai; Bastidas, Luis A.

In: Water Resources Research, Vol. 41, No. 1, 01.2005, p. 1-15.

Research output: Contribution to journalArticle

Demarty, Jérôme ; Ottlé, Catherine ; Braud, Isabelle ; Olioso, Albert ; Frangi, Jean Pierre ; Gupta, Hoshin Vijai ; Bastidas, Luis A. / Constraining a physically based Soil-Vegetation-Atmosphere Transfer model with surface water content and thermal infrared brightness temperature measurements using a multiobjective approach. In: Water Resources Research. 2005 ; Vol. 41, No. 1. pp. 1-15.
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