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Monitoring landslide displacements with the Geocube wireless network of low-cost GPS / Lionel Benoit in Engineering Geology, vol 195 (September 2015)  

Public [article]  inEngineering Geology > vol 195 (September 2015) . - pp 111 – 121 Titre : Monitoring landslide displacements with the Geocube wireless network of low-cost GPS Type de document : Article/Communication Auteurs : Lionel Benoit, Auteur ; Pierre Briole, Auteur ; Olivier Martin , Auteur ; Christian Thom , Auteur ; Jean-Philippe Malet, Auteur ; P. Ulrich, Auteur Année de publication : 2015 Projets : Géocubes / Article en page(s) : pp 111 – 121 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes descripteurs IGN] effondrement de terrain [Termes descripteurs IGN] Géocube [Termes descripteurs IGN] onde sismique [Termes descripteurs IGN] précipitation [Termes descripteurs IGN] séisme Résumé : (auteur) The analysis of landslide hazard requires continuous and high frequency surface displacement monitoring at numerous and geomorphologically relevant locations. Ground-based geodetic methods (GNSS, tacheometry) allow very accurate and high frequency temporal observations while remote sensing methods (InSAR, terrestrial and satellite photogrammetry, LIDAR) allow spatially distributed observations at high spatial resolution. A single surface deformation monitoring technique coupling all these capabilities is still missing. The Geocube system has been designed to partly overcome this pitfall by creating a low-cost, flexible, easy to install and wireless GPS receiver. Dense Geocube monitoring networks can be set easily for operational observations. Furthermore, the monitoring of other landslide properties (micro-seismicity, seismic waves) or triggering factors (meteorology, slope hydrology) is possible with the capacity of integrating additional sensors to the Geocube. This work presents the Geocube system and the results of a field campaign performed during the summer 2012 at the Super-Sauze landslide, southern French Alps, with a network of wireless low-cost GPS. The objective was to assess the performance of the Geocube system in real field monitoring conditions. Our results document the spatial and temporal evolution of the landslide during a period of 40 days. Landslide acceleration periods are detected and correlated to rainfall events. Numéro de notice : A2015--064 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.enggeo.2015.05.020 date de publication en ligne : 06/06/2015 En ligne : http://dx.doi.org/10.1016/j.enggeo.2015.05.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83253 [article]

Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion / André Stumpf in Geomorphology, n° 231 (15 February 2015)  

Public [article]  inGeomorphology > n° 231 (15 February 2015) . - pp 130 - 145 Titre : Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion Type de document : Article/Communication Auteurs : André Stumpf, Auteur ; Jean-Philippe Malet, Auteur ; P. Allemand, Auteur ; Marc Pierrot-Deseilligny , Auteur ; Grzegorz Skupinski, Auteur Année de publication : 2015 Article en page(s) : pp 130 - 145 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] Alpes (France) [Termes descripteurs IGN] bibliothèque logicielle [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] effondrement de terrain [Termes descripteurs IGN] érosion [Termes descripteurs IGN] MicMac [Termes descripteurs IGN] modèle numérique de terrain [Termes descripteurs IGN] reconstruction 3D [Termes descripteurs IGN] structure-from-motion [Termes descripteurs IGN] surveillance géologique Résumé : (auteur) Recent advances in multi-view photogrammetry have resulted in a new class of algorithms and software tools for more automated surface reconstruction. These new techniques have a great potential to provide topographic information for geoscience applications at significantly lower costs than classical topographic and laser scanning surveys. Based on open-source libraries for multi-view stereo-photogrammetry and Structure-from-Motion, this study investigates the accuracy that can be obtained from several processing pipelines for the 3D surface reconstruction of landslides and the detection of changes over time. Two different algorithms for point-cloud comparison are tested and the accuracy of the resulting models is assessed against terrestrial and airborne LiDAR point clouds. Change detection over a period of more than two years allows a detailed assessment of the seasonal dynamics of the landslide; the possibility to estimate sediment volumes and 3D displacement are illustrated for the most active parts of the landslide. Algorithm parameters and the image acquisition protocols are found to have important impacts on the quality of the results and are discussed in detail. Numéro de notice : A2015--070 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.geomorph.2014.10.039 En ligne : http://dx.doi.org/10.1016/j.geomorph.2014.10.039 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83236 [article]

Surface reconstruction and landslide displacement measurements with Pléiades satellite images / André Stumpf in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 95 (September 2014) . - pp 1 – 12 Titre : Surface reconstruction and landslide displacement measurements with Pléiades satellite images Type de document : Article/Communication Auteurs : André Stumpf, Auteur ; Jean-Philippe Malet, Auteur ; P. Allemand, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 1 – 12 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] effondrement de terrain [Termes descripteurs IGN] image Pléiades-HR [Termes descripteurs IGN] mesure géométrique [Termes descripteurs IGN] point d'appui [Termes descripteurs IGN] précision décimétrique Résumé : (Auteur) Recent advances in image-matching techniques and VHR satellite imaging at submeter resolution theoretically offer the possibility to measure Earth surface displacements with decimetric precision. However, this possibility has yet not been explored and requirements of ground control and external topographic datasets are considered as important bottlenecks that hinder a more common application of optical image correlation for displacement measurements. This article describes an approach combining spaceborne stereo-photogrammetry, orthorectification and sub-pixel image correlation to measure the horizontal surface displacement of landslides from Pléiades satellite images. The influence of the number of ground-control points on the accuracy of the image orientation, the extracted surface models and the estimated displacement rates is quantified through comparisons with airborne laser scan and in situ global navigation satellite measurements at permanent stations. The comparison shows a maximum error of 0.13 m which is one order of magnitude more accurate than what has been previously reported with spaceborne optical images from other sensors. The obtained results indicate that the approach can be applied without significant loss in accuracy when no ground control points are available. It could, therefore, greatly facilitate displacement measurements for a broad range of applications. Numéro de notice : A2014-472 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74049 [article]

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Active learning in the spatial domain for remote sensing image classification / André Stumpf in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 52 n° 5 tome 1 (May 2014) . - pp 2492 - 2507 Titre : Active learning in the spatial domain for remote sensing image classification Type de document : Article/Communication Auteurs : André Stumpf, Auteur ; Nicolas Lachiche, Auteur ; Jean-Philippe Malet, Auteur ; Norman Kerle, Auteur ; Anne Puissant, Auteur Année de publication : 2014 Article en page(s) : pp 2492 - 2507 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] algorithme d'apprentissage [Termes descripteurs IGN] analyse de sensibilité [Termes descripteurs IGN] classification par arbre de décision [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] inventaire [Termes descripteurs IGN] méthode heuristique [Termes descripteurs IGN] pente Résumé : (Auteur) Active learning (AL) algorithms have been proven useful in reducing the number of required training samples for remote sensing applications; however, most methods query samples pointwise without considering spatial constraints on their distribution. This may often lead to a spatially dispersed distribution of training points unfavorable for visual image interpretation or field surveys. The aim of this study is to develop region-based AL heuristics to guide user attention toward a limited number of compact spatial batches rather than distributed points. The proposed query functions are based on a tree ensemble classifier and combine criteria of sample uncertainty and diversity to select regions of interest. Class imbalance, which is inherent to many remote sensing applications, is addressed through stratified bootstrap sampling. Empirical tests of the proposed methods are performed with multitemporal and multisensor satellite images capturing, in particular, sites recently affected by large-scale landslide events. The assessment includes an experimental evaluation of the labeling time required by the user and the computational runtime, and a sensitivity analysis of the main algorithm parameters. Region-based heuristics that consider sample uncertainty and diversity are found to outperform pointwise sampling and region-based methods that consider only uncertainty. Reference landslide inventories from five different experts enable a detailed assessment of the spatial distribution of remaining errors and the uncertainty of the reference data. Numéro de notice : A2014-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2262052 date de publication en ligne : 12/07/2013 En ligne : https://doi.org/10.1109/TGRS.2013.2262052 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33164 [article]

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Hierarchical extraction of landslides from multiresolution remotely sensed optical images / Camille Kurtz in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 87 (January 2014) . - pp 122 - 136 Titre : Hierarchical extraction of landslides from multiresolution remotely sensed optical images Type de document : Article/Communication Auteurs : Camille Kurtz, Auteur ; André Stumpf, Auteur ; Jean-Philippe Malet, Auteur ; Pierre Gançarski, Auteur ; Anne Puissant, Auteur ; Nicolas Passat, Auteur Année de publication : 2014 Article en page(s) : pp 122 - 136 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] Barcelonnette [Termes descripteurs IGN] corrélation par régions de niveaux de gris [Termes descripteurs IGN] effondrement de terrain [Termes descripteurs IGN] image à résolution submétrique [Termes descripteurs IGN] image à ultra haute résolution [Termes descripteurs IGN] image Landsat-TM [Termes descripteurs IGN] image optique [Termes descripteurs IGN] image RapidEye [Termes descripteurs IGN] modèle numérique de terrain [Termes descripteurs IGN] niveau de détail [Termes descripteurs IGN] segmentation d'image Résumé : (Auteur) The automated detection and mapping of landslides from Very High Resolution (VHR) images present several challenges related to the heterogeneity of landslide sizes, shapes and soil surface characteristics. However, a common geomorphological characteristic of landslides is to be organized with a series of embedded and scaled features. These properties motivated the use of a multiresolution image analysis approach for their detection. In this work, we propose a hybrid segmentation/classification region-based method, devoted to this specific issue. The method, which uses images of the same area at various spatial resolutions (Medium to Very High Resolution), relies on a recently introduced top-down hierarchical framework. In the specific context of landslide analysis, two main novelties are introduced to enrich this framework. The first novelty consists of using non-spectral information, obtained from Digital Terrain Model (DTM), as a priori knowledge for the guidance of the segmentation/classification process. The second novelty consists of using a new domain adaptation strategy, that allows to reduce the expert’s interaction when handling large image datasets. Experiments performed on satellite images acquired over terrains affected by landslides demonstrate the efficiency of the proposed method with different hierarchical levels of detail addressing various operational needs. Numéro de notice : A2014-016 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32921 [article]

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Analyse spatiotemporelle de glissements de terrain littoraux par l’exploitation de données géospatiales multisources / Candide Lissak in Revue internationale de géomatique, vol 23 n° 2 (juin - aout 2013)

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Correlation of multi-temporal ground-based optical images for landslide monitoring: Application, potential and limitations / J. Travelleti in ISPRS Journal of photogrammetry and remote sensing, vol 70 (June 2012)

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Analyse spatiale, évaluation et cartographie du risque glissement de terrain / Jean-Philippe Malet in Revue internationale de géomatique, vol 16 n°3 - 4 (septembre – novembre 2006)

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Analyse spatiale de la susceptibilité des versants aux glissements de terrains : comparaison de deux approches spatialisées par SIG / Yannick Thiery in Revue internationale de géomatique, vol 15 n° 2 (juin – août 2005)

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Génération de MNT par photogrammétrie aérienne de petit format : application au versant instable de Super-Sauze / J.B. Henry in XYZ, n° 87 (juin - août 2001)

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