Articles | Volume 18, issue 12
https://doi.org/10.5194/hess-18-5219-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-5219-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Dec 2014
Research article |
| 16 Dec 2014
Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration
S. Ferrant
CORRESPONDING AUTHOR
Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, France
Centre National d'Etudes Spatiales (CNES), CESBIO, Toulouse, France
S. Gascoin
Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, France
CNRS-CESBIO, Toulouse, France
A. Veloso
Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, France
CNRS-CESBIO, Toulouse, France
J. Salmon-Monviola
INRA – UMR1069 Sol Agro et hydrosystème Spatialisation (SAS), 35000 Rennes, France
Agrocampus Ouest, UMR1069, SAS, 35000 Rennes, France
M. Claverie
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
NASA-Goddard Space Flight Center, Greenbelt, MD 20771, USA
V. Rivalland
Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, France
CNRS-CESBIO, Toulouse, France
G. Dedieu
Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, France
Centre National d'Etudes Spatiales (CNES), CESBIO, Toulouse, France
V. Demarez
Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, France
E. Ceschia
Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, France
J.-L. Probst
Université de Toulouse, UPS, INPT, Laboratoire d'Ecologie Fonctionnelle et Environnement (EcoLab), ENSAT, Avenue de l'Agrobiopole, BP 32607 Auzeville-Tolosane, 31326 Castanet-Tolosan Cedex, France
CNRS, Ecolab, ENSAT, Avenue de l'Agrobiopole, Castanet, France
P. Durand
INRA – UMR1069 Sol Agro et hydrosystème Spatialisation (SAS), 35000 Rennes, France
Agrocampus Ouest, UMR1069, SAS, 35000 Rennes, France
V. Bustillo
Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, Cedex 9, France
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Cited
14 citations as recorded by crossref.
- Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs. sequential data assimilation H. Dewaele et al. 10.5194/hess-21-4861-2017
- Combining High-Resolution Remote Sensing Products with a Crop Model to Estimate Carbon and Water Budget Components: Application to Sunflower G. Pique et al. 10.3390/rs12182967
- Predicting water balance of wheat and crop rotations with a simple model: AqYield H. Tribouillois et al. 10.1016/j.agrformet.2018.07.026
- Exploring the Critical Zone Heterogeneity and the Hydrological Diversity Using an Integrated Ecohydrological Model in Three Contrasted Long‐Term Observatories J. Ackerer et al. 10.1029/2023WR035672
- On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France E. Martin et al. 10.1007/s10712-016-9366-2
- Effects of high spatial and temporal resolution Earth observations on simulated hydrometeorological variables in a cropland (southwestern France) J. Etchanchu et al. 10.5194/hess-21-5693-2017
- How to account for irrigation withdrawals in a watershed model E. Brochet et al. 10.5194/hess-28-49-2024
- Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data M. Battude et al. 10.1016/j.rse.2016.07.030
- Towards a modular, multi-ecosystem monitoring, reporting and verification (MRV) framework for soil organic carbon stock change assessment N. Batjes et al. 10.1080/17583004.2024.2410812
- A data warehouse to explore multidimensional simulated data from a spatially distributed agro-hydrological model to improve catchment nitrogen management T. Bouadi et al. 10.1016/j.envsoft.2017.07.019
- Extracting Soil Water Holding Capacity Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical Satellite Observations Series S. Ferrant et al. 10.3390/rs8020154
- Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area K. Park et al. 10.3390/app10031058
- Predicting Near‐Surface Moisture Content of Saline Soils from Near‐Infrared Reflectance Spectra with a Modified Gaussian Model W. Zeng et al. 10.2136/sssaj2016.06.0188
- Recent literature in cartography and geographic information science M. Finn & D. Thunen 10.1080/15230406.2015.1020025
12 citations as recorded by crossref.
- Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs. sequential data assimilation H. Dewaele et al. 10.5194/hess-21-4861-2017
- Combining High-Resolution Remote Sensing Products with a Crop Model to Estimate Carbon and Water Budget Components: Application to Sunflower G. Pique et al. 10.3390/rs12182967
- Predicting water balance of wheat and crop rotations with a simple model: AqYield H. Tribouillois et al. 10.1016/j.agrformet.2018.07.026
- Exploring the Critical Zone Heterogeneity and the Hydrological Diversity Using an Integrated Ecohydrological Model in Three Contrasted Long‐Term Observatories J. Ackerer et al. 10.1029/2023WR035672
- On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France E. Martin et al. 10.1007/s10712-016-9366-2
- Effects of high spatial and temporal resolution Earth observations on simulated hydrometeorological variables in a cropland (southwestern France) J. Etchanchu et al. 10.5194/hess-21-5693-2017
- How to account for irrigation withdrawals in a watershed model E. Brochet et al. 10.5194/hess-28-49-2024
- Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data M. Battude et al. 10.1016/j.rse.2016.07.030
- Towards a modular, multi-ecosystem monitoring, reporting and verification (MRV) framework for soil organic carbon stock change assessment N. Batjes et al. 10.1080/17583004.2024.2410812
- A data warehouse to explore multidimensional simulated data from a spatially distributed agro-hydrological model to improve catchment nitrogen management T. Bouadi et al. 10.1016/j.envsoft.2017.07.019
- Extracting Soil Water Holding Capacity Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical Satellite Observations Series S. Ferrant et al. 10.3390/rs8020154
- Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area K. Park et al. 10.3390/app10031058
2 citations as recorded by crossref.
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Latest update: 25 Dec 2024
Short summary
A set of high spatial and temporal satellite images have been used to spatially calibrate crop growth within an agro-hydrological model dedicated to nitrogen contamination of stream water. This type of spatial calibration greatly improved the simulation of nitrogen plant uptake and better constrained nutrient fluxes in the river. This is an example of the benefit of the forthcoming Sentinel-2 high resolution optical image series that will be acquired every 4/5 days over continental surfaces.
A set of high spatial and temporal satellite images have been used to spatially calibrate crop...
