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Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France
Water monitoring at the scale of a small agricultural region is a key point to insure a good crop development particularly in South-Eastern France, where extreme climatic conditions result in long dry periods in spring and summer with very sparse precipitation events, corresponding to a crucial peri...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675555/ https://www.ncbi.nlm.nih.gov/pubmed/27879889 http://dx.doi.org/10.3390/s8053460 |
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author | Courault, Dominique Bsaibes, Aline Kpemlie, Emmanuel Hadria, Rachid Hagolle, Olivier Marloie, Olivier Hanocq, Jean-F. Olioso, Albert Bertrand, Nadine Desfonds, Véronique |
author_facet | Courault, Dominique Bsaibes, Aline Kpemlie, Emmanuel Hadria, Rachid Hagolle, Olivier Marloie, Olivier Hanocq, Jean-F. Olioso, Albert Bertrand, Nadine Desfonds, Véronique |
author_sort | Courault, Dominique |
collection | PubMed |
description | Water monitoring at the scale of a small agricultural region is a key point to insure a good crop development particularly in South-Eastern France, where extreme climatic conditions result in long dry periods in spring and summer with very sparse precipitation events, corresponding to a crucial period of crop development. Remote sensing with the increasing imagery resolution is a useful tool to provide information on plant water status over various temporal and spatial scales. The current study focussed on assessing the potentialities of FORMOSAT-2 data, characterized by high spatial (8m pixel) and temporal resolutions (1-3 day/time revisit), to improve crop modeling and spatial estimation of the main land properties. Thirty cloud free images were acquired from March to October 2006 over a small region called Crau-Camargue in SE France, while numerous ground measurements were performed simultaneously over various crop types. We have compared two models simulating energy transfers between soil, vegetation and atmosphere: SEBAL and PBLs. Maps of evapotranspiration were analyzed according to the agricultural practices at field scale. These practices were well identified from FORMOSAT-2 images, which provided accurate input surface parameters to the SVAT models. |
format | Online Article Text |
id | pubmed-3675555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36755552013-06-19 Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France Courault, Dominique Bsaibes, Aline Kpemlie, Emmanuel Hadria, Rachid Hagolle, Olivier Marloie, Olivier Hanocq, Jean-F. Olioso, Albert Bertrand, Nadine Desfonds, Véronique Sensors (Basel) Article Water monitoring at the scale of a small agricultural region is a key point to insure a good crop development particularly in South-Eastern France, where extreme climatic conditions result in long dry periods in spring and summer with very sparse precipitation events, corresponding to a crucial period of crop development. Remote sensing with the increasing imagery resolution is a useful tool to provide information on plant water status over various temporal and spatial scales. The current study focussed on assessing the potentialities of FORMOSAT-2 data, characterized by high spatial (8m pixel) and temporal resolutions (1-3 day/time revisit), to improve crop modeling and spatial estimation of the main land properties. Thirty cloud free images were acquired from March to October 2006 over a small region called Crau-Camargue in SE France, while numerous ground measurements were performed simultaneously over various crop types. We have compared two models simulating energy transfers between soil, vegetation and atmosphere: SEBAL and PBLs. Maps of evapotranspiration were analyzed according to the agricultural practices at field scale. These practices were well identified from FORMOSAT-2 images, which provided accurate input surface parameters to the SVAT models. Molecular Diversity Preservation International (MDPI) 2008-05-23 /pmc/articles/PMC3675555/ /pubmed/27879889 http://dx.doi.org/10.3390/s8053460 Text en © 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the CreativeCommons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Courault, Dominique Bsaibes, Aline Kpemlie, Emmanuel Hadria, Rachid Hagolle, Olivier Marloie, Olivier Hanocq, Jean-F. Olioso, Albert Bertrand, Nadine Desfonds, Véronique Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France |
title | Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France |
title_full | Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France |
title_fullStr | Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France |
title_full_unstemmed | Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France |
title_short | Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France |
title_sort | assessing the potentialities of formosat-2 data for water and crop monitoring at small regional scale in south-eastern france |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675555/ https://www.ncbi.nlm.nih.gov/pubmed/27879889 http://dx.doi.org/10.3390/s8053460 |
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