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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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3. 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

4. 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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5. 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

8. 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

9. 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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10. 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

15. 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

16. 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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19. 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

22. 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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