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Agro-hydrology and multi temporal high resolution remote sensing: toward an explicit spatial processes calibration

Ferrant, Sylvain and Gascoin, Simon and Veloso, Amanda and Salmon-Monviola, Jordy and Claverie, Martin and Rivalland, Vincent and Demarez, Valerie and Dedieu, Gérard and Ceschia, Eric and Probst, Jean-Luc and Durand, Patrick and Bustillo, Vincent Agro-hydrology and multi temporal high resolution remote sensing: toward an explicit spatial processes calibration. (2014) Hydrology and Earth System Sciences Discussions (HESSD), 11 (7). 7689-7732. ISSN 1812-2108

(Document in English)

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Official URL: http://dx.doi.org/10.5194/hessd-11-7689-2014


The recent and forthcoming availability of high resolution satellite image series offers new opportunities in agro-hydrological research and modeling. We investigated the perspective offered by improving the crop growth dynamic simulation using the distributed agro-hydrological model, Topography based Nitrogen transfer and Transforma­ tion (TNT2), using LAI map series derived from 105 Formosat-2 (F2) images during the period 2006-2010. The TNT2 model (Beaujouan et al., 2002), calibrated with dis­ charge and in-stream nitrate fluxes for the period 1985-2001, was tested on the 2006-201O dataset (climate, land use, agricultural practices, discharge and nitrate fluxes at the outlet). A priori agricultural practices obtained from an extensive field survey such as seeding date, crop cultivar,and fertilizer amount were used as input variables.Con­tinuous values of LAI as a function of cumulative daily temperature were obtained at the crop field level by fitting a double logistic equation against discrete satellite-derived LAI. Model predictions of LAI dynamics with a priori input parameters showed an temporal shift with observed LAI profiles irregularly distributed in space (between field crops) and time (between years). By re-setting seeding date at the crop field level, we proposed an optimization method to minimize efficiently this temporal shift and better fit the crop growth against the spatial observations as well as crop production. This optimization of simulated LAI has a negligible impact on water budget at the catchment scale (1 mm yr-1 in average) but a noticeable impact on in-stream nitrogen fluxes(around 12%) which is of interest considering nitrate stream contamination issues and TNT2 model objectives. This study demonstrates the contribution of forthcoming high spatial and temporal resolution products of Sentinel-2 satellite mission in improving agro-hydrological modeling by constraining the spatial representation of crop productivity.

Item Type:Article
Additional Information:Thanks to Copernicus Publications and European Geosciences Union eitors. The original publication is available at http://www.hydrol-earth-syst-sci-discuss.net/
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Other partners > Agrocampus Ouest (FRANCE)
French research institutions > Centre National d'Études Spatiales - CNES (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Institut National de la Recherche Agronomique - INRA (FRANCE)
Other partners > National Aeronautics and Space Administration - NASA (USA)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Other partners > University of Maryland (USA)
Laboratory name:
Deposited On:13 Feb 2015 15:02

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