Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration
The growing availability of high-resolution satellite image series offers new opportunities in agro-hydrological research and modeling. We investigated the possibilities offered for improving crop-growth dynamic simulation with the distributed agro-hydrological model: topography-based nitrogen trans...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2014-12-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | http://www.hydrol-earth-syst-sci.net/18/5219/2014/hess-18-5219-2014.pdf |
| _version_ | 1811235933366779904 |
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| author | S. Ferrant S. Gascoin A. Veloso J. Salmon-Monviola M. Claverie V. Rivalland G. Dedieu V. Demarez E. Ceschia J.-L. Probst P. Durand V. Bustillo |
| author_facet | S. Ferrant S. Gascoin A. Veloso J. Salmon-Monviola M. Claverie V. Rivalland G. Dedieu V. Demarez E. Ceschia J.-L. Probst P. Durand V. Bustillo |
| author_sort | S. Ferrant |
| collection | DOAJ |
| description | The growing availability of high-resolution satellite image series offers
new opportunities in agro-hydrological research and modeling. We
investigated the possibilities offered for improving crop-growth dynamic
simulation with the distributed agro-hydrological model: topography-based
nitrogen transfer and transformation (TNT2). We used a leaf area index (LAI) map series
derived from 105 Formosat-2 (F2) images covering the period 2006–2010. The
TNT2 model (Beaujouan et al., 2002), calibrated against discharge and
in-stream nitrate fluxes for the period 1985–2001, was tested on the
2005–2010 data set (climate, land use, agricultural practices, and discharge
and nitrate fluxes at the outlet). Data from the first year (2005) were used
to initialize the hydrological model. A priori agricultural practices obtained from
an extensive field survey, such as seeding date, crop cultivar, and amount
of fertilizer, 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 using the a priori input
parameters displayed temporal shifts from those observed LAI profiles that are
irregularly distributed in space (between field crops) and time (between
years). By resetting the seeding date at the crop-field level, we have
developed an optimization method designed to efficiently minimize this
temporal shift and better fit the crop growth against both the spatial
observations and crop production. This optimization of simulated LAI
has a negligible impact on water budgets at the catchment scale (1 mm yr<sup>−1</sup> on
average) but a noticeable impact on in-stream nitrogen fluxes (around 12%), which is of interest when considering nitrate stream contamination
issues and the objectives of TNT2 modeling. This study demonstrates the
potential contribution of the forthcoming high spatial and temporal
resolution products from the Sentinel-2 satellite mission for improving
agro-hydrological modeling by constraining the spatial representation of
crop productivity. |
| first_indexed | 2024-04-12T12:01:47Z |
| format | Article |
| id | doaj.art-d35d74c824c54ebb894c054534247392 |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-04-12T12:01:47Z |
| publishDate | 2014-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-d35d74c824c54ebb894c0545342473922022-12-22T03:33:51ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382014-12-0118125219523710.5194/hess-18-5219-2014Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibrationS. Ferrant0S. Gascoin1A. Veloso2J. Salmon-Monviola3M. Claverie4V. Rivalland5G. Dedieu6V. Demarez7E. Ceschia8J.-L. Probst9P. Durand10V. Bustillo11Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, FranceUniversité de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, FranceUniversité de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, FranceINRA – UMR1069 Sol Agro et hydrosystème Spatialisation (SAS), 35000 Rennes, FranceDepartment of Geographical Sciences, University of Maryland, College Park, MD 20742, USAUniversité de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, FranceUniversité de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, FranceUniversité de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, FranceUniversité de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, FranceUniversité de Toulouse, UPS, INPT, Laboratoire d'Ecologie Fonctionnelle et Environnement (EcoLab), ENSAT, Avenue de l'Agrobiopole, BP 32607 Auzeville-Tolosane, 31326 Castanet-Tolosan Cedex, FranceINRA – UMR1069 Sol Agro et hydrosystème Spatialisation (SAS), 35000 Rennes, FranceUniversité de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, FranceThe growing availability of high-resolution satellite image series offers new opportunities in agro-hydrological research and modeling. We investigated the possibilities offered for improving crop-growth dynamic simulation with the distributed agro-hydrological model: topography-based nitrogen transfer and transformation (TNT2). We used a leaf area index (LAI) map series derived from 105 Formosat-2 (F2) images covering the period 2006–2010. The TNT2 model (Beaujouan et al., 2002), calibrated against discharge and in-stream nitrate fluxes for the period 1985–2001, was tested on the 2005–2010 data set (climate, land use, agricultural practices, and discharge and nitrate fluxes at the outlet). Data from the first year (2005) were used to initialize the hydrological model. A priori agricultural practices obtained from an extensive field survey, such as seeding date, crop cultivar, and amount of fertilizer, 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 using the a priori input parameters displayed temporal shifts from those observed LAI profiles that are irregularly distributed in space (between field crops) and time (between years). By resetting the seeding date at the crop-field level, we have developed an optimization method designed to efficiently minimize this temporal shift and better fit the crop growth against both the spatial observations and crop production. This optimization of simulated LAI has a negligible impact on water budgets at the catchment scale (1 mm yr<sup>−1</sup> on average) but a noticeable impact on in-stream nitrogen fluxes (around 12%), which is of interest when considering nitrate stream contamination issues and the objectives of TNT2 modeling. This study demonstrates the potential contribution of the forthcoming high spatial and temporal resolution products from the Sentinel-2 satellite mission for improving agro-hydrological modeling by constraining the spatial representation of crop productivity.http://www.hydrol-earth-syst-sci.net/18/5219/2014/hess-18-5219-2014.pdf |
| spellingShingle | S. Ferrant S. Gascoin A. Veloso J. Salmon-Monviola M. Claverie V. Rivalland G. Dedieu V. Demarez E. Ceschia J.-L. Probst P. Durand V. Bustillo Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration Hydrology and Earth System Sciences |
| title | Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration |
| title_full | Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration |
| title_fullStr | Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration |
| title_full_unstemmed | Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration |
| title_short | Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration |
| title_sort | agro hydrology and multi temporal high resolution remote sensing toward an explicit spatial processes calibration |
| url | http://www.hydrol-earth-syst-sci.net/18/5219/2014/hess-18-5219-2014.pdf |
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