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Laboratoire d'études en Géophysique et océanographie spatiales |  |
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Laboratoire d'études en Géophysique et océanographie spatiales | |
| HAL : insu-00194537, version 1 |
| DOI : 10.2113/gssgfbull.178.2.89 |
| Fiche détaillée |  Récupérer au format |
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| Bulletin de la Société Géologique de France 178, 2 (2007) 89-100 |
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| Remote-sensing techniques for analysing landslide kinematics : a review |
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Christophe Delacourt 1Pascal Allemand 2 |
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| (09/03/2007) |
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| Surface displacement field of landslides is a key parameter to access to their geometries and mechanical properties. Surface displacements can be calculated using remote-sensing methods such as interferometry for radar data and image correlation for optical data. These methods have been elaborated this last decade and successfully applied on sensors (radar, cameras, terrestrial 3D laser scanner imaging) either attached to space or aerial platforms such as satellites, planes, and unmanned radio-controlled platforms (drones and helicopters) or settled at fixed positions emplaced in the front of landslides. This paper reviews the techniques of image analysis (interferometry and optical data correlation) to measure displacements and examines the performance of each type of platforms. Examples of applications of these techniques in French South Alps are shown. Depending on the landslide characteristics (exposure conditions, size, velocity) as well as the goal of the study (operational or scientific purpose), one or a combination of several techniques and data (characterized by several resolution, accuracy, covered surface, revisiting time) have to be used. Radar satellite data processed with differential interferometric or PS methods are mainly suitable for scientific purposes due to various application limitations in mountainous area. Optical satellite and aerial images can be used for scientific studies at fairly high resolution but are strongly dependant on atmospheric conditions. Platforms and sensors such as drone, fixed camera, fixed radar and Lidar have the advantage of high adaptability. They can be used to obtain very high resolution and precise 3D data (of centimetric accuracy) suitable for both scientific and operational purposes. |
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| 1 : | Domaines Océaniques |
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Institut Universitaire Européen de la Mer (IUEM) – Universite de Bretagne occidentale - Brest – Observatoire des Sciences de l'Univers – CNRS : UMR6538 |
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| 2 : | Laboratoire de Sciences de la Terre (LST) |
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CNRS : UMR5570 – INSU – Université Claude Bernard - Lyon I – École Normale Supérieure - Lyon |
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| 3 : | Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) |
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CNRS : UMR5566 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III |
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| 4 : | Bureau de recherches géologiques et minières (BRGM) |
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Bureau de Recherches Géologiques et Minières (BRGM) |
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| 5 : | Géoazur (GEOAZUR) |
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Université Nice Sophia Antipolis [UNS] – CNRS : UMR6526 – Institut de recherche pour le développement [IRD] – Observatoire de la Côte d'Azur – INSU – Université Pierre et Marie Curie (UPMC) - Paris VI |
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| 6 : | ATM3D |
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Commencez à saisir le nom d'une tutelle – ATM3D |
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| domaine | : | Planète et Univers/Sciences de la Terre/Géologie appliquée Planète et Univers/Sciences de la Terre/Géomorphologie |
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| Remote sensing – Landslide – Surface displacement – InSAR – Image correlation |
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| insu-00194537, version 1 | |
| http://hal-insu.archives-ouvertes.fr/insu-00194537 | |
| oai:hal-insu.archives-ouvertes.fr:insu-00194537 | |
| Contributeur : Dominique Gac | |
| Soumis le : Jeudi 6 Décembre 2007, 16:37:04 | |
| Dernière modification le : Jeudi 16 Juillet 2009, 09:18:56 | |
