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1. hydroweb.next, an open-data WebGIS platform to bring state-of-the-art products derived from satellite remote sensing to hydrology users

Author

Gasnier, Nicolas, primary, Zawadzki, Lionel, additional, Gouillon, Flavien, additional, Specht, Bernard, additional, Cauquil, Pascal, additional, Pena Luque, Santiago, additional, Dupuis, Aurore, additional, Martin, Vincent, additional, Sand, Aurélie, additional, Barroso, Thérese, additional, Picot, Nicolas, additional, Strzepek, Aurélie, additional, and Maisongrande, Philippe, additional

Published
2023
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2. The Indo-French TRISHNA satellite mission: high resolution and high revisit surface temperature for land and coastal ocean

Author

Gamet, Philippe, Salcedo, Corinne, Marcq, Sébastien, Autret, Emmanuelle, Lifermann, Anne, Maisongrande, Philippe, Roujean, Jean-Louis, and Bhattacharya, Bimal K.

Abstract

Presented at the GHRSST XXIII international science team meeting, 27 June-1 July 2022, online and in-person (Barcelona). #GHRSST23 Short abstract The TRISHNA mission (Thermal infraRed Imaging Satellite for High-resolution Natural resource Assessment) is a cooperation between the French (CNES) and Indian (ISRO) space agencies, for a satellite to be launched in 2025 for a 5-year lifetime, to measure approximately twice a week the visible, near infrared and thermal infrared signal of the surface-atmosphere system globally and at 60 m resolution for the continents and coastal ocean, with a resolution of 1000 meters over deep ocean. Level 2 products –free and open data policy- include Sea Surface Temperature, visible and near infrared surface reflectances as well as cloud mask, aerosol optical thickness and data quality flags. Design drivers of the mission: (i) monitoring of ecosystem stress and water use, focusing on agriculture and water content of vegetation, through evapotranspiration; and (ii) coastal and inland waters: characterization of the dynamics of the shallow bathymetry; monitoring of exchanges in estuaries and intertidal zones; sea surface temperatures and winds; sub-mesoscale activity in coastal areas and in the high seas; oil spills, thermal pollutants, effluents and wastewater discharges. Interactions are needed with the experts and future users: definition of monitored coastal areas and polar zones, algorithms for SST and optical surface variables computation, cloud mask, product content: variables, auxiliary and ancilliary data. The synergy (orbits, products, algorithms, CAL/VAL) between TRISHNA and future operational high-resolution thermal infrared missions (Surface Biology and Geology (SBG, 2027) from NASA/JPL, Land Surface Temperature Monitoring (LSTM, 2029) from ESA) is also a key element of the preparation of TRISHNA.

Published
2022
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4. The Theia 'Digital Soil Mapping' Scientific Expertise Centre of France

Author

Richer-De-Forges, Anne C, Lagacherie, Philippe, Arrouays, Dominique, Bialkowski, Anne, Bourennane, Hocine, Briottet, Xavier, Fouad, Youssef, Gomez, Cécile, Jacquemoud, Stéphane, Lemercier, Blandine, Maisongrande, Philippe, Martelet, Guillaume, Martin, Manuel P, Michot, Didier, Pichelin, Pascal, Saby, Nicolas P. A., Tissoux, Hélène, Vaudour, Emmanuelle, Wadoux, Alexandre M.J.-C., Walter, Christian, Puissant, Anne, Richer-de-Forges, Anne, InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Unité de Science du Sol (Orléans) (URSols), ONERA / DOTA, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, Sol Agro et hydrosystème Spatialisation (SAS), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Indo-French Cell for Water Sciences (IFCWS), Indian Institute of Science [Bangalore] (IISc Bangalore), Institut de Physique du Globe de Paris (IPGP (UMR_7154)), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre National d'Études Spatiales [Toulouse] (CNES), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire Image, Ville, Environnement (LIVE), and Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU.STU] Sciences of the Universe [physics]/Earth Sciences, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Abstract

International audience; pas de résumé

Published
2022

5. Scientific Committee

Author

Paloscia, Simonetta, primary, Louamgne, Cécile, additional, Pellarin, Thierry, additional, de Rosnay, Patricia, additional, Calvet, Jean-Christophe, additional, Albergel, Clément, additional, Zine, Sonia, additional, Hagolle, Olivier, additional, Bernier, Monique, additional, Gay, Michel, additional, De Seve, Danielle, additional, Maillard, Philippe, additional, Benveniste, Jerome, additional, Maisongrande, Philippe, additional, Dechambre, Monique, additional, Leblanc, Marc, additional, Biancamaria, Sylvain, additional, Lemoine, Jean-Michel, additional, Banville, Simon, additional, Bergeot, Nicolas, additional, Darrozes, José, additional, Olioso, Albert, additional, Merlin, Olivier, additional, Belaud, Gilles, additional, Gascoin, Simon, additional, Ottle, Catherine, additional, Jarlan, Lionel, additional, Zribi, Mehrez, additional, and Baghdadi, Nicolas, additional

Published
2016
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7. VALERI: a network of sites and a methodology for the validation of medium spatial resolution land satellite products

Author

Baret, Frédéric, Weiss, Marie, Allard, Denis, Garrigue, Sébastien, Leroy, Marc, Jeanjean5, Hervé, Fernandes, R, Myneni, R, Privette, J, Morisette, J, Bohbot, Hervé, Bosseno, Roland, Dedieu, Gérard, Di Bella, Carlos, Duchemin, Benoît, Espana, Marisa, Gond, Valery, Gu, Xing, Guyon, Dominique, Lelong, Camille, Maisongrande, Philippe, Mougin, Éric, Nilson, Tiit, Veroustraete, Frank, Vintilla, Roxana, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biostatistique et Processus Spatiaux (BioSP), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre National d'Etudes Spatiales - Direction Des Lanceurs. (CNES), Centre d'études et de formation en enseignement supérieur (CEFES), Université de Montréal (UdeM), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), INRA (INRA CSE), Institut National de la Recherche Agronomique (INRA), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Instituto Nacional de Tecnología Agropecuaria (INTA), Universidad Michoacana de San Nicolás de Hidalgo (UMICH), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Environnements et Sociétés (Cirad-ES), Laboratoire de bioclimatologie, Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Tartu Observatory, Flemish Institute for Technological Research (VITO), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Unité mixte de recherche Climat Sol et Environnement (UMR CSE 1114), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
validation, upscaling, remote sensing, biophysical variable, [SDE]Environmental Sciences, transfer function, kriging
Abstract

Validation is mandatory to quantify the reliability of satellite biophysical products that are now routinely generated by a range of sensors. This paper presents the VALERI project dedicated to the validation of the products derived from medium resolution satellite sensors (www. avignon.inra.fr/valeri/). It describes the sites used, and the methodology developed to get the high spatial resolution map of the biophysical variables considered, i.e. LAI, fAPAR and fCover that can be estimated from ground level gap fraction measurements. Sites were selected to represent , with the other validation projects, the large variation of biomes and conditions observed over the Earth's surface. Each site is about 3×3 km² in size and should be flat and relatively homogeneous at the medium resolution scale. For each site, the methodology used to generate the high spatial resolution biophysical variable maps is described. It is mainly based on concurent use of local gound measurements and a high spatial resolution satellite image, generally SPOT-HRV. Local ground measurements should be representative of an elementary sampling unit (ESU) that has approximately the same size as a SPOT-HRV pixel. The ground measurements mainly consist of gap fraction measurements achieved with LAI-2000 or hemispherical photographs. The ESUs are selected over the whole 3×3 km² site in order to sample the range of vegetation types observed. A transfer function is subsequently established over the ESUs to relate the ground measurements of the biophysical variables considered to the correspodonding high spatial resolution satellite image data. Finally, co-kriging is applied to generate the high spatial resolution map of the biophysical variables over the 3×3 km² area. The methodology presented in this paper can serve as a basis for validating medium resolution satellite products. These methodological aspects are discussed and conclusions drawn on the limitations and prospects of beforementioned validation activity.

Published
2021

11. Coastal bathymetry from satellite high resolution monitoring

Author

Monsoriu Serra, Juan Antonio, Maisongrande, Philippe, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny, Soñes Bori, Javier, Monsoriu Serra, Juan Antonio, Maisongrande, Philippe, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny, and Soñes Bori, Javier

Abstract

[EN] Bathymetry is traditionally obtained by echo sounding technology. However, bathymetry can be also obtained from satellite imaging, which is much more cheaper than echo-sound measurements. This is obtained by analyzing the waves near to the shoreline. In order so, wave properties such as wavelength and celerity should be measured, after which the bathymetry is estimated using linear wave theory. In this internship a new method based in the continuous wavelet transform has been implemented. In order to obtain the celerity, two images with a time lag are needed. Two data sets are used. On the one hand a video product, with 12 Pléiades images with a time lag between them of 8s. On the other hand a set of Sentinel-2 images. In the latter, a time shift between bands because of a lag in the acquisition is exploited. An application for the extraction and preparation of Sentinel-2 data in a form of a Graphical User Interface has been implemented. The site that has been studied will be the shore of Capbreton, which hosts one of the world’s deepest canyons. The images have been be pre-filtered by using FFT and Radon filters, with several methods that include windowing of fixed and variable size. Those filtering techniques have be implemented and its results compared. Best results are obtained using a variable-size windowing technique. Finally, the wavelet method has been applied to both datasets to achieve wave propagation information.

Published
2020

13. Absolute Calibration or Validation of the Altimeters on the Sentinel-3A and the Jason-3 over Lake Issykkul (Kyrgyzstan)

Author

Cretaux, Jean-François, Berge-Nguyen, Muriel, Calmant, Stephane, Jamangulova, Nurzat, Satylkanov, Rysbek, Lyard, Florent, Perosanz, Felix, Verron, Jacques, Samine Montazem, Amanda, Le Guilcher, Gianfranco, Leroux, Delphine, Barrié, Joël, Maisongrande, Philippe, Bonnefond, Pascal, GOHS, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Echanges Côte-Large (ECOLA), Groupement de Recherche en Géodésie Spatiale (GRGS), Centre National d'Études Spatiales [Toulouse] (CNES), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre d'études spatiales de la biosphère (CESBIO), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Systèmes de Référence Temps Espace (SYRTE), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), and Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS)

Subjects
validation, [PHYS]Physics [physics], Sentinel-3A, calibration, radar altimetry, Jason-3, lcsh:Q, lcsh:Science, lake, Issykkul, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], ComputingMilieux_MISCELLANEOUS, SAR
Abstract

Calibration/Validation (C/V) studies using sites in the oceans have a long history and protocols are well established. Over lakes, C/V allows addressing problems such as the performance of the various retracking algorithms and evaluating the accuracy of the geophysical corrections for continental waters. This is achievable when measurements of specific and numerous field campaigns and a ground permanent network of level gauges and weather stations are processed. C/V consists of installation of permanent sites (weather stations, limnigraphs, and GPS reference points) and the organization of regular field campaigns. The lake Issykkul serves as permanent site of C/V, for a multi-mission purpose. The objective of this paper is to calculate the altimeter biases of Jason-3 and Sentinel-3A, both belonging to an operational satellite system which is used for the long-term monitoring of lake level variations. We have also determined the accuracy of the altimeters of these two satellites, through a comparison analysis with in situ data. In 2016 and 2017, three campaigns have been organized over this lake in order to estimate the absolute bias of the nadir altimeter onboard the Jason-3 and Sentinel-3A. The fieldwork consisted of measuring water height using a GPS system, carried on a boat, along the track of the altimeter satellite across the lake. It was performed at the time of the pass of the altimeter. Absolute altimeter biases were calculated by averaging the water height differences along the pass of the satellite (GPS from the boat system versus altimetry). Jason-3 operates in a Low Resolution Mode (LRM), while the Sentinel-3A operates in Synthetic Aperture Radar (SAR) mode. In this study we found that the absolute biases measured for Jason-3 were −28 ± 40 mm with the Ocean retracker and 206 ± 30 mm with the Ice-1 retracker. The biases for Sentinel-3A were −14 ± 20 mm with the Samosa (Ocean like) retracker and 285 ± 20 mm with the OCOG (Ice-1-like) retracker. We have also evaluated the accuracy of these two altimeters over Lake Issykkul which reached to 3 cm, for both the instruments, using the Ocean retracker.

Published
2018
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14. Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval

Author

Guerreiro, Kevin, Fleury, Sara, Zakharova, Elena, Kouraev, Alexei, Rémy, Frédérique, and Maisongrande, Philippe

Abstract

Over the past decade, sea-ice freeboard has been monitored with various satellite altimetric missions with the aim of producing long-term time series of ice thickness. While recent studies have demonstrated the capacity of the CryoSat-2 mission (2010–present) to provide accurate freeboard measurements, the current estimates obtained with the Envisat mission (2002–2012) still require some large improvements. In this study, we first estimate Envisat and CryoSat-2 radar freeboard by using the exact same processing algorithms. We then analyse the freeboard difference between the two estimates over the common winter periods (November 2010–April 2011 and November 2011–March 2012). The analysis of along-track data and gridded radar freeboard in conjunction with Envisat pulse-peakiness (PP) maps suggests that the discrepancy between the two sensors is related to the surface properties of sea-ice floes and to the use of a threshold retracker. Based on the relation between the Envisat pulse peakiness and the radar freeboard difference between Envisat and CryoSat-2, we produce a monthly CryoSat-2-like version of Envisat freeboard. The improved Envisat data set freeboard displays a similar spatial distribution to CryoSat-2 (RMSD = 1.5 cm) during the two ice growth seasons and for all months of the period of study. The comparison of the altimetric data sets with in situ ice draught measurements during the common flight period shows that the improved Envisat data set (RMSE = 12–28 cm) is as accurate as CryoSat-2 (RMSE = 15–21 cm) and much more accurate than the uncorrected Envisat data set (RMSE = 178–179 cm). The comparison of the improved Envisat radar freeboard data set is then extended to the rest of the Envisat mission to demonstrate the validity of PP correction from the calibration period. The good agreement between the improved Envisat data set and the in situ ice draught data set (RMSE = 13–32 cm) demonstrates the potential of the PP correction to produce accurate freeboard estimates over the entire Envisat mission lifetime.

Published
2018

21. White paper: Monitoring the evolution of coastal zones under various forcing factors using space-based observing systems

Author

Ablain, Michael, Becker, Melanie, Benveniste, Jérôme, Cazenave, Anny, Champollion, Nicolas, Ciccarelli, Silvia, Jevrejeva, Svetlana, Le Cozannet, Gonéri, Nicoletta, Leonardi, Loisel, Hubert, Long, Nathalie, Maisongrande, Philippe, Mallet, Cyrill, Marta, Marcos, Menendez, Melisa, Meyssignac, Benoit, Plater, Andrew, Raucoules, Daniel, Andrea, Taramelli, Vignudelli, Stefano, Emiliana, Valentini, Woodworth, Philip, WOPPELMANN, Guy, Collecte Localisation Satellites (CLS), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National d'Études Spatiales [Toulouse] (CNES), LIttoral ENvironnement et Sociétés (LIENSs), La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), Agence Spatiale Européenne = European Space Agency (ESA), Centre National d'Études Spatiales [Toulouse] (CNES), International Space Science Institute [Bern] (ISSI), Agenzia Spaziale Italiana (ASI), Natural Environment Research Council (NERC), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), University of Liverpool, Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 (LOG), Institut national des sciences de l'Univers (INSU - CNRS)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Nord]), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut Mediterrani d'Estudis Avancats (IMEDEA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Universidad de las Islas Baleares (UIB), University Santander, Italian National Institute of Environmental Protection and Research (ISPRA), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), International Space Science Institute (ISS), LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), Agence Spatiale Européenne (ESA), European Space Agency (ESA), Centre National de la Recherche Scientifique (CNRS)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut national des sciences de l'Univers (INSU - CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), and Consiglio Nazionale delle Ricerche [Roma] (CNR)

Subjects
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Abstract

This paper is an outcome of the International Space Science Institute (ISSI) Forum on “Monitoring the evolution of coastal zones under various forcing factors using space-based observing systems” (http://www.issibern.ch/forum/costzoneevo/) held at ISSI, Bern, Switzerland on 11-12 October 2016 (convened by J. Benveniste, A. Cazenave, N. Champollion, G. Le Cozannet and P. Woodworth)

Published
2016

22. Using spaceborne imagery to infer the topography of the intertidal zone: a case study for the shoreline of Chittagong (Bangladesh) using PROBA-V data

Author

BERGMANN, Matthias, primary, DURAND, Fabien, additional, KRIEN, Yann, additional, KHAN, MD Jamal Uddin, additional, ISHAQUE, Marufa, additional, TESTUT, Laurent, additional, CALMANT, Stephane, additional, MAISONGRANDE, Philippe, additional, ISLAM, A.K.M. Saiful, additional, PAPA, Fabrice, additional, and OUILLON, Sylvain, additional

Published
2018
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25. Monitoring of seasonal glacier mass balance over the European Alps using low-resolution optical satellite images

Author

Drolon, Vanessa, Maisongrande, Philippe, Berthier, Etienne, Wwinnen, Else, Huss, Matthias, Drolon, Vanessa, Maisongrande, Philippe, Berthier, Etienne, Wwinnen, Else, and Huss, Matthias

Abstract

We explore a new method to retrieve seasonal glacier mass balances (MBs) from low- resolution optical remote sensing. We derive annual winter and summer snow maps of the Alps during 1998–2014 using SPOT/VEGETATION 1 km resolution imagery. We combine these seasonal snow maps with a DEM to calculate a ‘mean regional’ altitude of snow (Z) in a region surrounding a glacier. Then, we compare the interannual variation of Z with the observed winter/summer glacier MB for 55 Alpine glaciers over 1998–2008, our calibration period. We find strong linear relationships in winter (mean R² = 0.84) and small errors for the reconstructed winter MB (mean RMSE = 158 mm (w.e.) a⁻¹). This is lower than errors generally assumed for the glaciological MB measurements (200–400 mm w.e. a⁻¹). Results for summer MB are also satisfying (mean R² and RMSE, respectively, 0.74 and 314 mm w.e. a⁻¹). Comparison with observed seasonal MB available over 2009–2014 (our evaluation period) for 19 glaciers in winter and 13 in summer shows good agreement in winter (RMSE = 405 mm w.e. a⁻¹) and slightly larger errors in summer (RMSE = 561 mm w.e. a⁻¹). These results indicate that our approach might be valuable for remotely determining the seasonal MB of glaciers over large regions.

Published
2017

28. Combining datasets of satellite retrieved products for basin-scale water balance study. Part II: Evaluation on the Mississippi Basin and closure correction model

Author

Munier, Simon, Aires, Filipe, Schlaffer, Stefan, Prigent, Catherine, Papa, Fabrice, Maisongrande, Philippe, Pan, Ming, Estellus, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Centre National de la Recherche Scientifique (CNRS), Vienna University of Technology (TU Wien), Department of Civil and Environmental Engineering, Princeton University, Princeton University, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), and École normale supérieure - Paris (ENS-PSL)

Subjects
[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
Abstract

International audience; In this study, we applied the integration methodology developed in the companion paper (Aires, 2014) by using real satellite observations over the Mississippi basin. The methodology provides basin scale estimates of the four water budget components (precipitation P , evapotranspiration E, water storage change ∆S and runoff R) in a two-step process: the Simple Weighting (SW) integration and a Post-processing Filtering (PF) that imposes the water budget closure. A comparison with in situ observations of P and E demonstrated that PF improved the estimation of both components. A Closure Correction Model (CCM) has been derived from the integrated product (SW+PF), that allows to correct each observation dataset independently, unlike the SW+PF method which requires simultaneous estimates of the four components. The CCM allows to standardize the various datasets for each component and highly decrease the budget residual (P −E−∆S− R). As a direct application, the CCM was combined with the water budget equation to reconstruct missing values in any component. Results of a Monte Carlo experiment with synthetic gaps demonstrated the good performances of the method, except for the runoff data that has a variability of the same order of magnitude as the budget residual. Similarly , we proposed a reconstruction of ∆S between 1990 and 2002 where no GRACE-data is available. Unlike most of the studies dealing with the water budget closure at the basin scale, only satellite observations and in situ runoff measurements are used. Consequently the integrated datasets are model-independent and can be used for model calibration or validation.

Published
2014
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29. Topography of the intertidal zone along the shoreline of Chittagong (Bangladesh) using PROBA-V imagery.

Author

Bergmann, Matthias, Durand, Fabien, Krien, Yann, Khan, Md. Jamal Uddin, Ishaque, Marufa, Testut, Laurent, Calmant, Stéphane, Maisongrande, Philippe, Islam, A.K.M. Saiful, Papa, Fabrice, and Ouillon, Sylvain

Subjects
INTERTIDAL zonation, REMOTE-sensing images, TOPOGRAPHY, HYDRODYNAMICS, SHORELINES
Abstract

Across the oceans shorelines, monitoring the topography of the intertidal zone is generally challenging. The present study is motivated by the recognized role of the intertidal topography in the near-shore hydrodynamics. We consider the region of Chittagong (northern Bay of Bengal) because of its propensity to powerful cyclone surges and associated inundation hazard. So as to curb the lack of in situ knowledge of intertidal topography, we present an original procedure relying on spaceborne optical imagery. Our method essentially amounts to a water line detection performed at various tidal levels. We apply our procedure to the recent PROBA-V (Project for On-Board Autonomy-Vegetation) multi-spectral imagery mission. The first step of our procedure concerns the shoreline extraction. PROBA-V imagery consists of four bands (Red, Blue, near-infrared - NIR, short-wave infrared - SWIR), which are then combined to generate an artificial red-green-blue (RGB) image. This RGB image is then converted into the hue-saturation-value (HSV) colour space. A simple thresholding is applied to hue and value channels to separate water masses from land masses. This process is applied to several images taken at different water levels (i.e. different parts of the tidal cycle) and the corresponding water lines are inferred. To estimate the altitude level of the water lines, we rely on tidal observations from two gauges located at Chittagong and Cox's Bazar. We operate an ad-hoc extrapolation of the point-wise gauge data to generate a synthetic tidal water level record all along the shoreline. These synthetic tidal heights are then combined with the shorelines to generate the final digital elevation model (DEM). The DEM we generated covers a 40-km long stretch of shoreline around Chittagong city. We assessed this DEM by comparison with two independent data sets based on in situ surveys as well as on Pléiades spaceborne stereoscopy. We conclude that our DEM is accurate within 1 m to 2 m, which is within the error bar of these validation data sets. Our procedure being essentially objective, it is easy to automate, for processing of other imagery satellite, including at high resolution and/or in real time. [ABSTRACT FROM AUTHOR]

Published
2018
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30. Current flood mapping capabilities using synergies from radar altimetry and MODIS multi-spectral satellite imagery and the need for a SWOT mission

Author

Cretaux, Jean-Francois, Berg��-Nguyen, Muriel, Leblanc, Marc J., Abarca Del Rio, Rodrigo J., Delclaux, Francois, Mognard, Nelly M., Lion, Christine, Pandey, Rajnikant, Tweed, Sarah O., Calmant, St��phane, and Maisongrande, Philippe

Subjects
Remote Sensing, MODIS, None, Other, Hydrology
Abstract

In ungauged basins, space-based information is essential for the monitoring of the hydrological water cycle, in particular in regions undergoing large flood events where satellite data may be used as input to hydrodynamic models. A method for near 3D flood monitoring has been developed which uses synergies between radar altimetry and high temporal resolution multi-spectral satellites. Surface reflectances from the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra instrument are used to map areas of open water as well as aquatic vegetation on a weekly basis, while water level variations in the inundated areas are provided by the radar altimetry from the Topex/Poseidon (T/P) and Envisat satellites. We applied this synergistic approach to several regions across the world (Diamantina Floodplain in Australia, Inner Niger Delta and Lake Chad in Africa, Andean Altiplano in South America, and Ganga River Delta in Asia). Based mainly on optical and Near Infra Red (NIR) imagery for detecting the extent of inundation, this method is well adapted for arid and semi-arid regions, but less for equatorial or boreal ones due to cloud coverage. This work emphasises the limitations of current remote sensing techniques for full 3D description of water storage variability in ungauged basins, and provides a good introduction to the need and the potential use of the future Surface Water and Ocean Topography (SWOT) satellite mission., Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, K��lner Geographische Arbeiten, 92, pp. 9-23

Published
2011
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31. Evaluation of groundwater storage variations in various large aquifers using GRACE data

Author

Munier, Simon, Becker, Melanie, Maisongrande, Philippe, Cazenave, Anny, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDE.MCG]Environmental Sciences/Global Changes, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Abstract

International audience; In many regions of the world where strong water depletion occurs, surface water stocks are often insufficient to satisfy the population domestic needs and irrigation requirements. When large aquifers are present, groundwater pumping may be used to fulfill these needs. Yet, flows in aquifer systems are largely slower than in the surface layers, and high abstraction combined with low natural recharge may lead to groundwater depletion (decreasing trend of water table level). Despite the importance of integrating water stored in the aquifers into water management, groundwater monitoring suffers from scarce direct measurements. Hydrology models may provide an alternative way to estimate groundwater variations but they need data to be calibrated. In that sense, even if they are generally quite relevant to represent surface and near surface storage (rivers, lakes, reservoirs, soil moisture and evapotranspiration), they also suffer from the lack of groundwater measurements. Since 2002, the GRACE mission has provided, all over the world, monthly estimates of the vertically integrated water storage, also named Total Water Storage (TWS). In this study, we first compare the GRACE inferred TWS to the climate forcing (precipitation) in some of the greatest aquifers of the world (among others, the Guarani, California and Canning aquifers). This comparison shows quite limited correlations in space and time variability, which seems to indicate the presence of a non-negligible anthropogenic component. Groundwater storage variations are then calculated by subtracting modeled land surface storage to the GRACE-derived TWS. Different models (GLDAS, WGHM, ISBA and LaD) are used in order to estimate their uncertainties, for example on the "surface to ground" vertical water distribution. In some cases, in situ water table variations are available and then used to validate the method. Other ancillary data, such as volume of groundwater pumping, are also used as validation materials. Results show a quite good agreement between direct measurements and GRACE-derived groundwater storage variations, which confirms the potential of satellite Gravimetry for the monitoring and possibly the management of groundwater in large aquifers.

Published
2011

32. Lake studies from Satellite Altimetry

Author

Cretaux, J-F, Calmant, S., Abarca Del Rio, R., Kouraev, A. V., Berge-Nguyen, M., Maisongrande, Philippe, GOHS, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), and S. Vignudelli A. Kostianoy, P. Cipollini and J. Benveniste

Abstract

978-3-642-12795-3; Accurate and continuous monitoring of lakes and inland seas has been possible since 1993 thanks to the success of satellite altimetry missions: TOPEX/POSEIDON (T/P), GFO, JASON-1, and ENVISAT. Global processing of the data of these satellites can provide time series of lake surface heights over the entire Earth at different temporal and spatial scales with a subdecimeter precision. Large lakes affect climate on a regional scale through albedo and evaporation. In some regions, highly ephemeral lakes provide information on extreme events such as severe droughts or floods. On the other hand, endorheic basin lakes are sensitive to changes in regional water balance. In a given region covered by a group of lakes, if the records of their level variations are long enough, they could reveal the recurrence of trends in a very reliable and accurate manner. Lakes are thought to have enough inertia to be considered as an excellent proxy for climate change. Moreover, during the last century, thousands of dams have been constructed along the big rivers worldwide, leading to the appearance of large reservoirs. This has several impacts on the basins affected by those constructions, as well as effects on global sea level rise. The response of water levels to regional hydrology is particularly marked for lakes and inland seas of semiarid regions. Altimetry data can provide a valuable source of information in hydrology sciences, but in-situ data (river runoff, water level, temperature, or precipitation) are still strongly needed to study the evolution of the water mass balance of each lake.

Published
2011

33. Continental freshwater discharge estimates from satellite observations and terrestrial water balance

Author

Munier, Simon, Cazenave, Anny, Maisongrande, Philippe, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, [SDE.MCG]Environmental Sciences/Global Changes, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Abstract

International audience; Freshwater discharge is a key component of the global water cycle. During the last few decades, remotely sensed hydro-climatic data has given the opportunity to overcome the numerous technical, political and economical challenges raised by ground-based observation networks. In the present study, we used satellite observations combined with atmospheric reanalysis in a coupled ocean-land-atmosphere water mass balance to estimate freshwater discharge over the last few years at basin, continental and global scales. Variations in terrestrial water storage (TWS) are provided by the Gravity Recovery and Climate Experiment (GRACE) mission, whereas precipitation minus evapotranspiration (P-E) is computed from atmospheric reanalyses (NCEP-NCAR and ECMWF datasets). In order to assess the accuracy of freshwater discharge estimates, uncertainties in each terms of the water balance are explored. GRACE-derived TWS is compared to outputs of Land Surface Models (GLDAS, WGHM and ISBA), keeping in mind that LSMs generally do not account for human-induced effects on the hydrological cycle. Independently, reanalysis-based P-E is compared to remotely sensed and/or in situ observations of precipitation (GPCC, GPCP, CMAP), evaporation over oceans (OAFlux, HOAPS) and modeled evapotranspiration over land (Penman-Monteith and Priestley-Taylor). Finally, freshwater discharge estimates are compared to in situ discharge observations from GRDC and to estimates from previous global studies. Discrepancies between the different datasets, in terms of annual mean as well as seasonal and inter-annual variability, allowed us to draw uncertainty maps, then highlighting regions where freshwater discharge estimates are the most uncertain. Such results may help to focus future developments on hydrological modeling for further improvement in freshwater discharge estimates.

Published
2011

34. Validation of the SMOS Level 2 retrieval algorithm over crops and prairies from the COSMOS-NAFE campaign

Author

Saleh, Kauzar, Boulet, Gilles, Kerr, Yann, Maisongrande, Philippe, Richaume , Philippe, Wigneron, Jean-Pierre, Delwart, Steven, Panciera, Rocco, Walker, Jeffrey, Department of geography, University of Cambridge [UK] (CAM), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Écologie fonctionnelle et physique de l'environnement (EPHYSE), Institut National de la Recherche Agronomique (INRA), European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), University of Melbourne, IEEE Geoscience and Remote Sensing Society (GRSS). Labo/service de l'auteur, Ville service, USA., Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Agence Spatiale Européenne = European Space Agency (ESA)

Subjects
télédétection, mission SMOS, [SDE.MCG]Environmental Sciences/Global Changes, acquisition de données, Milieux et Changements globaux, radiomètre, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2008

35. Main outcomes of the CoSMOS/NAFE campaign for the validation of the SMOS soil moisture retrieval algorithm

Author

Saleh, Kauzar, Kerr, Yann, Boulet, Gilles, Escorihuela, Maria José, Maisongrande, Philippe, Richaume, Philippe, de Rosnay, Patricia, Wigneron, Jean-Pierre, Lopez-Baeza, Ernesto, Grant, Jennifer, Delwart, Steven, Berger, Michael, Panciera, Rocco, Walker, Jeff, Department of Geography [Cambridge, UK], University of Cambridge [UK] (CAM), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre National d’Etudes Spatiales, Écologie fonctionnelle et physique de l'environnement (EPHYSE), Institut National de la Recherche Agronomique (INRA), Universitat de València (UV), Vrije Universiteit Amsterdam [Amsterdam] (VU), European Space Research and Technology Centre (ESTEC), Agence Spatiale Européenne = European Space Agency (ESA), University of Melbourne, Labo/service de l'auteur, Ville service, Pays service., Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), European Space Agency (ESA), and VU University Amsterdam

Subjects
télédétection, analyse de données, radiométrie, mission SMOS, [SDE.MCG]Environmental Sciences/Global Changes, Milieux et Changements globaux
Abstract

International audience; The ESA CoSMOS study aims at performing the first validation of the SMOS Soil Moisture Level 2algorithm using real data. The validation relies on data acquired during the CoSMOS/NAFE campaign in the Goulburn River Catchment (Southeast Australia) in 2005. The CoSMOS/ NAFE airborne campaign involved two L-band radiometers, EMIRAD (full- pol, bi-angular) and PLMR (dual-pol, multi-angular), and provided L- band data at different resolutions for six weeks.Intensive ground sampling was carried out too to provide measurements of all the surface parameters required by the soil moisture retrieval algorithm. This communication presents the main outcomes of the study. The focus is threefold:i) how do simulations of the surface brightness temperature and soil moisture retrievals perform using the ^Ñdefault^Ò L2 algorithm over homogenous an heterogeneous surfaces? Ii) what recommendations can be made in terms of fine-tuning of the microwave model used by the SMOSretrieval algorithm (soil model, vegetation model, litter model), and iii) how does the retrieved soil moisture at the scale of a SMOS pixel compare to ground measurements of soil moisture across the catchment? These questions are addressed in the ESA CoSMOS study, which makes a comprehensive data set available for validation of the SMOS Level 2 algorithm, and is currently at the phase of performing the forward model simulations and soil moisture retrievals.

Published
2008

36. The ESA CoSMOS study for the validation of the SMOS soil moisture L2 prototype

Author

Saleh Contell, Kauzar, Kerr, Yann H., Boulet, Gilles, Escorihuela, Maria-José, Maisongrande, Philippe, Richaume, Philippe, De Rosnay, Patricia, Wigneron, Jean-Pierre, Cano, Aurelio, Lopez-Baeza, Ernesto, Grant, Jennifer P., Skou, Niels, Panciera, Rocco, Walker, Jeffrey P., Berger, Michael, Department of geography, University of Cambridge [UK] (CAM), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), European Centre for Medium-Range Weather Forecasts (ECMWF), Écologie fonctionnelle et physique de l'environnement (EPHYSE), Institut National de la Recherche Agronomique (INRA), Universitat de València (UV), VU University Amsterdam, Technical University of Denmark [Lyngby] (DTU), University of Melbourne, European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), and Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU)

Subjects
[SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2007

37. Surveillance environnementale à long terme dans les zones arides et semi-arides

Author

Boudhar, A., Duchemin, Benoît, Hanich, L., Chaponniere, A., Maisongrande, Philippe, Boulet, Gilles, Stitou, J., Chehbouni, Ghani, Jauffret, S. (dir.), Equipe Ecologie Végétale, Sol et Environnement, Faculté des Sciences Semlalia [Marrakech], Université Cadi Ayyad [Marrakech] (UCA)-Université Cadi Ayyad [Marrakech] (UCA), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), International Water Management Institute [CGIAR, Ghana] (IWMI), International Water Management Institute [CGIAR, Sri Lanka] (IWMI), Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Faculté des Sciences de Tétouan, Faculté des Sciences du M, Faculté des Sciences Semlalia Marrakech, Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)

Subjects
VARIATION SAISONNIERE, MAROC, MARRAKECH REGION, ZONE ARIDE, SURFACE DU SOL, SATELLITE SPOT, GEOMATIQUE, IMAGE SATELLITE, TELEDETECTION SPATIALE, RESSOURCES EN EAU, HAUT ATLAS CENTRAL, DEBIT, BASSIN VERSANT, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, TENSIFT BASSIN VERSANT, PLUIE, HYDROCLIMAT, VARIATION SPATIALE, ZONE SEMIARIDE, TEMPERATURE, ZONE DE MONTAGNE, HAUTE ALTITUDE, NEIGE
Abstract

La chaîne montagneuse du Haut Atlas marocain constitue un véritable château d'eau pour les plaines arides avoisinantes. C'est le cas de la plaine du Haouz dans la région de Marrakech, où les ressources en eaux connaissent une exploitation intensive (activités agricoles et tourisme). La gestion durable de ces ressources est ainsi une priorité pour les autorités de la région et du pays. Dans cet objectif, il est nécessaire de bien comprendre les processus et les variables permettant de décrire précisément le cycle hydrologique de la région, et en particulier la contribution respective des précipitations liquides et solides aux débits des principaux sousbassins de l'oued Tensift. Dans ce contexte, nous avons utilisé une archive de 7 années d'images SPOT-VEGETATION pour cartographier les surfaces enneigées du Haut Atlas. Les variations spatiales et temporelles de la couverture neigeuse sont analysées à l'échelle du Haut Atlas, ainsi qu'au niveau des cinq grands bassinsversants qui alimentent la plaine du Haouz. Cette analyse et la confrontation avec les mesures hydrométéorologiques disponibles permettent de conforter les estimations des surfaces enneigées. Cette étude montre l'intérêt de la télédétection pour observer durablement la variabilité intra- et interannuelle de l'enneigement dans des régions peu accessibles où le réseau d'observation climatique est insuffisant. Le potentiel de ces données pour étudier le régime hydrologique de régions semi-arides est également souligné.

Published
2007
Full Text
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38. Un modèle simplifié pour l'estimation du bilan hydrique et du rendement de cultures céréalières en milieu semi-aride

Author

Duchemin, Benoît, Boulet, Gérard, Maisongrande, Philippe, Benhadj, Iskander, Hadria, Rachid, Khabba, S., Chehbouni, Ghani, Ezzahar, J., Olioso, Albert, Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Faculté des Sciences SEMLALIA (FSSM), Université Cadi Ayyad [Marrakech] (UCA), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), and Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, RELATION SOL-PLANTE-ATMOSPHERE, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2005

39. Spatialisation du modèle de culture STICS en région semi aride du Haouz à partir d'images satellites optiques haute résolution

Author

Hadria, Rachid, Duchemin, Benoît, Lahrouni, A., Khabba, S., Er-Raki, S., Ezzahar, J., Mougenot, Bernard, Dedieu, Gérard, Chehbouni, Ghani, Maisongrande, Philippe, Olioso, Albert, Faculté des Sciences SEMLALIA (FSSM), Université Cadi Ayyad [Marrakech] (UCA), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), and Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
ZONE SEMI-ARIDE, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, STICS, INDICE FOLIAIRE, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2005

40. Varying-Time Random Effects Models for Longitudinal Data: Spatial Disaggregation and Temporal Interpolation of Remote Sensing Data

Author

Cardot, Hervé, Maisongrande, Philippe, Faivre, Robert, Unité Biométrie et Intelligence Artificielle, INRA Toulouse (BIA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Statistique et Probabilités (LSP), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Unité de gestion du département de biométrie et intelligence artificielle, Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Centre National d'Études Spatiales [Toulouse] (CNES)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS)

Subjects
unmixing, remote sensing, downscaling, ECME, mixed pixels, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], SPOT/VGT, SPOT/HRVIR, covariance function, mixed effects, Backfitting, splines, functional data, BLUP
Abstract

Remote sensing is an helpful tool for crop monitoring or vegetation growth estimation at a country or regional scale. However, satellite images generally have to cope with a compromise between the time frequency of observations and their resolution (i.e. pixel size). When concerned with high temporal resolution, we have to work with information on the basis of kilometric pixels that represent aggregated responses of multiple land cover inside each low resolution pixel. Disaggreggation is then necessary to downscale from the square kilometer to the local dynamic of each parcel (crop, wood, meadows,...). We propose to address this question through the generalisation of varying-time regression models for longitudinal data and/or functional data by introducing local mixed effects. The estimators are built by expanding the mixed pixels trajectories with B-splines functions and maximizing the log-likelihood with a Backfitting-ECME algorithm. A BLUP formula allows then to get the "best possible" estimations of the local temporal responses of each crop when observing mixed pixels trajectories. We show that this model has many potential applications in remote sensing and an interesting one consists in coupling high and low spatial resolution images in order to perform temporal interpolation of high spatial resolution images (20m), increasing the knowledge on particular crops in very precise locations. The disaggregation, or downscaling, and interpolation approaches are illustrated on remote sensing data obtained on the South-Western of France during the year 2002.

Published
2005

41. Programme de recherche franco-marocain SUDMED. Fonctionnement et ressources hydro-écologiques dans le bassin-versant du Tensift, Maroc : caractérisation, modélisation et prévisions. Estimation du besoin en eau des cultures [Diaporama]

Author

Mougenot, B., Boulet, Gilles, Chehbouni, Ghani, Duchemin, Benoît, Er-Rouane, S., Escadafal, Richard, Hanich, L., Maisongrande, Philippe, Moreno, A., and Simonneaux, V.

Subjects
Télédétection, Bassin versant, Collecte de données, Système d'information géographique, Besoin en eau, Exigence des plantes, P10 - Ressources en eau et leur gestion, Ressource en eau, Hydrologie, Simulation
Published
2005

43. STEM-VGT: satellite measurements and terrestrial ecosystem modeling using VEGETATION instrument

Author

Dedieu, Gérard, Lafont , Sébastien, Cayrol, Pascale, Chehbouni, Abdelghani, Kergoat, Laurent, Maisongrande, Philippe, Watts, C., Berthelot, Béatrice, Gérard, Jean-Claude, François, L., Graetz, Dean, Ruimy, Anne, Moulin, Sophie, Saugier, Bernard, Centre National d’Etudes Spatiales, Office de la Recherche Scientifique et Technique Outre Mer (ORSTOM), Universidad de Sonora (USON), Université de Liège, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), and Université Paris-Sud - Paris 11 (UP11)

Subjects
écosystème terrestre, [SDV]Life Sciences [q-bio], satellite, ComputingMilieux_MISCELLANEOUS, modélisation
Abstract

International audience

Published
2000

44. Searching for trends of change through exploratory data analysis of time series of remotely sensed images of SW Europe and NW Africa

Author

Lobo, Agustín, Maisongrande, Philippe, Lobo, Agustín, and Maisongrande, Philippe

Abstract

Time series of remotely sensed imagery have proven to be a valuable tool to study the dynamics of the Earth surface. Some important features have been put in evidence in time series of greenness (measured as Normalized Difference Vegetation Index (NDVI)) fields at global and continental scales, and linked to changes in atmospheric variables and/or direct human impact. Analysing the same kind of information at regional scales is more challenging, as the increased detail implies increased complexity. We present a case of study of visualization coupled to statistical analysis based on Empirical Orthogonal Functions (EOF) of the seasonal pattern of greenness in SW Europe (52° N, 11° W to 30° N, 5° E) between 1999 and 2003. Our goal was to determine whether trends could be identified in the inter-annual change of some regions. We have found that for most of the area of study, inter-annual change in seasonal pattern of greenness consisted of an oscillation along a linear trajectory on the plane defined by the first two EO components. Nevertheless, a few scattered sites and two larger regions show trends, as both the direction and the sense of the inter-annual changes remained consistent from year to year during the period of study. Considering the dependency of the seasonal course of greenness on annual patterns of temperature and precipitation, the extent covered by these areas and the diversity of land cover that they include strongly suggest a response to changes in the seasonal patterns of key atmospheric variables for the same period. While the period of study is short, the particular response of these regions deserves further attention, including the analysis of longer series of NDVI and other satellite products, as well as the exploration of the actual relationships to atmospheric variables.

Published
2008

45. Satellite measurements and vegetation models for global carbon cycle studies

Author

Dedieu, Gérard, Ruimy, Anne, Maisongrande, Philippe, Kergoat , Laurent, Moulin, Sophie, Saugier, Bernard, Centre National d’Etudes Spatiales, Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)

Subjects
cycle du carbone, [SDV]Life Sciences [q-bio], satellite, végétation, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1997

46. Some views on possible approaches to test and improve vgetation net primary productivity models

Author

Dedieu, Gérard, Kergoat , Laurent, Maisongrande, Philippe, Ruimy, Anne, Saugier, Bernard, Frison, Pierre-Louis, Moulin, Sophie, Mougin, Éric, Mognard-Campbell, N., Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Paris-Sud - Paris 11 (UP11), European Geophysical Society (EGS). DEU., Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1996

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