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Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models / Xikun Hu in ISPRS Journal of photogrammetry and remote sensing, vol 196 (February 2023)
[article]
Titre : Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models Type de document : Article/Communication Auteurs : Xikun Hu, Auteur ; Puzhao Zhang, Auteur ; Yifang Ban, Auteur Année de publication : 2023 Article en page(s) : pp 228 - 240 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte thématique
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] dommage
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-OLI
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image Sentinel-MSI
[Termes IGN] incendie de forêt
[Termes IGN] jeu de données localisées
[Termes IGN] segmentation sémantique
[Termes IGN] surveillance forestière
[Termes IGN] zone sinistréeRésumé : (auteur) Nowadays Earth observation satellites provide forest fire authorities and resource managers with spatial and comprehensive information for fire stabilization and recovery. Burn severity mapping is typically performed by classifying bi-temporal indices (e.g., dNBR, and RdNBR) using thresholds derived from parametric models incorporating field-based measurements. Analysts are currently expending considerable manual effort using prior knowledge and visual inspection to determine burn severity thresholds. In this study, we aim to employ highly automated approaches to provide spatially explicit damage level estimates. We first reorganize a large-scale Landsat-based bi-temporal burn severity assessment dataset (Landsat-BSA) by visual data cleaning based on annotated MTBS data (approximately 1000 major fire events in the United States). Then we apply state-of-the-art deep learning (DL) based methods to map burn severity based on the Landsat-BSA dataset. Experimental results emphasize that multi-class semantic segmentation algorithms can approximate the threshold-based techniques used extensively for burn severity classification. UNet-like models outperform other region-based CNN and Transformer-based models and achieve accurate pixel-wise classification results. Combined with the online hard example mining algorithm to reduce class imbalance issue, Attention UNet achieves the highest mIoU (0.78) and the highest Kappa coefficient close to 0.90. The bi-temporal inputs with ancillary spectral indices work much better than the uni-temporal multispectral inputs. The restructured dataset will be publicly available and create opportunities for further advances in remote sensing and wildfire communities. Numéro de notice : A2023-122 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2022.12.026 Date de publication en ligne : 11/01/2023 En ligne : https://doi.org/10.1016/j.isprsjprs.2022.12.026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102498
in ISPRS Journal of photogrammetry and remote sensing > vol 196 (February 2023) . - pp 228 - 240[article]Machine learning remote sensing using the random forest classifier to detect the building damage caused by the Anak Krakatau Volcano tsunami / Riantini Virtriana in Geomatics, Natural Hazards and Risk, vol 14 n° 1 (2023)
[article]
Titre : Machine learning remote sensing using the random forest classifier to detect the building damage caused by the Anak Krakatau Volcano tsunami Type de document : Article/Communication Auteurs : Riantini Virtriana, Auteur ; Agung Budi Harto, Auteur ; Fiza Wira Atmaja, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 28 - 51 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage automatique
[Termes IGN] base de données d'images
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] dommage matériel
[Termes IGN] données Copernicus
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Worldview
[Termes IGN] Indonésie
[Termes IGN] modèle numérique de surface
[Termes IGN] segmentation d'image
[Termes IGN] tsunamiRésumé : (auteur) In Indonesia, tsunamis are frequent events. In 2000–2016, there were 44 tsunami events in Indonesia, with financial losses reaching 43.38 trillion. In 2018, a tsunami occurred in the Sunda Strait due to the eruption of the Anak Krakatau Volcano, which caused many fatalities and much building damage. This study aimed to detect the building damage in the Labuan District, Banten Province. Machine learning methods were used to detect building damage using random forest with object-based techniques. No previous research has combined selected predictors into scenarios; hence, the novelty of this study is combining various random forest predictors to identify the extent of building damage using 14 predictor scenarios. In addition, field surveys were conducted two years and nine months after the tsunami to observe the changes and efforts made. The results of the random forest classification were validated and compared with three datasets, namely xBD, Copernicus, and field survey data. The results of this study can help classify the level of building damage using satellite imagery to improve mitigation in tsunami-prone areas. Numéro de notice : A2023-037 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/19475705.2022.2147455 Date de publication en ligne : 07/12/2022 En ligne : https://doi.org/10.1080/19475705.2022.2147455 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102307
in Geomatics, Natural Hazards and Risk > vol 14 n° 1 (2023) . - pp 28 - 51[article]Rapid mapping of seismic intensity assessment using ground motion data calculated from early aftershocks selected by GIS spatial analysis / Huaiqun Zhao in Geomatics, Natural Hazards and Risk, vol 14 n° 1 (2023)
[article]
Titre : Rapid mapping of seismic intensity assessment using ground motion data calculated from early aftershocks selected by GIS spatial analysis Type de document : Article/Communication Auteurs : Huaiqun Zhao, Auteur ; Yijiao Jia, Auteur ; Wenkai Chen, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 1 - 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] cartographie thématique
[Termes IGN] Chine
[Termes IGN] distribution spatiale
[Termes IGN] dommage
[Termes IGN] régression
[Termes IGN] sismologie
[Termes IGN] zone sinistrée
[Termes IGN] zone tamponRésumé : (auteur) Following a major earthquake, disaster information services must deliver accurate damage assessment results during the emergency ‘black box’ phase when data is scarce. Seismic intensity maps contain crucial information for determining the damage in the affected area. For earthquakes with Mw between 5.5 and 7, this study proposes using GIS analysis to mine aftershock events in early aftershock sequences that are closely related to the mainshock fault, and then using these events to generate seismic intensity assessment maps. Regression curves were first obtained using a nonparametric method (rLowess) to analyse the geographical coordinates of early aftershocks. Then, a buffer of 1 or 1.5 km radius was made for the curve, and the aftershocks in the buffer were used to calculate the predicted peak ground velocity (PGV) values over a specific km-grid range. Finally, rapid mapping of seismic intensity was assessed based on the intensity scale. This straightforward and repeatable method employs seismic station data obtained shortly after the mainshock. The assessed seismic intensity accurately reflects the location and extent of the hardest hit areas and can be cross-referenced with geophysical results to accurately assess the damage in the affected areas. Numéro de notice : A2023-035 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article DOI : 10.1080/19475705.2022.2160663 Date de publication en ligne : 02/01/2023 En ligne : https://doi.org/10.1080/19475705.2022.2160663 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102304
in Geomatics, Natural Hazards and Risk > vol 14 n° 1 (2023) . - pp 1 - 21[article]Simplified automatic prediction of the level of damage to similar buildings affected by river flood in a specific area / David Marín-García in Sustainable Cities and Society, vol 88 (January 2023)
[article]
Titre : Simplified automatic prediction of the level of damage to similar buildings affected by river flood in a specific area Type de document : Article/Communication Auteurs : David Marín-García, Auteur ; Juan Rubio-Gómez-Torga, Auteur ; Manuel Duarte-Pinheiro, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : n° 104251 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] acquisition de données
[Termes IGN] Andalousie
[Termes IGN] apprentissage automatique
[Termes IGN] bassin hydrographique
[Termes IGN] bâtiment
[Termes IGN] cartographie des risques
[Termes IGN] coefficient de corrélation
[Termes IGN] dommage matériel
[Termes IGN] évaluation des paramètres
[Termes IGN] image à haute résolution
[Termes IGN] modèle de simulation
[Termes IGN] zone inondableRésumé : (auteur) Flooding due to overflowing rivers affects the construction elements of many buildings. Although significant progress has been made in predicting this damage, there is still a need to continue studying this issue. For this reason, the main goal of this research focuses on finding out if, based on a small dataset of cases of a given area, it is possible to predict at least three degrees of affectation in buildings, considering only three environmental factors (minimum distance from the river, unevenness and possible water communication). To meet this goal, the methodological approach followed considers scientific literature review and collection and analysis of a small dataset from 101 buildings that have been affected by floods in the Guadalquivir River basin (Andalusia. Spain). After analyzing this data, algorithms based on machine learning (ML) are applied to predict the degree of affection. The results, analysis and conclusions indicate that, if the study focuses on a specific area and similar buildings, using a correlation matrix and ML algorithms such as the "Decision Tree" with cross-validation, around 90% can be achieved in the "Recall" and "Precision" of "High-Level-Affection" class, and an “Accuracy” around 80% in general. Numéro de notice : A2023-006 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.scs.2022.104251 Date de publication en ligne : 15/10/2022 En ligne : https://doi.org/10.1016/j.scs.2022.104251 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102093
in Sustainable Cities and Society > vol 88 (January 2023) . - n° 104251[article]Challenges and limitations of earthquake-induced building damage mapping techniques using remote sensing images : A systematic review / Sahar S. Matin in Geocarto international, Vol 37 n° 21 ([01/10/2022])
[article]
Titre : Challenges and limitations of earthquake-induced building damage mapping techniques using remote sensing images : A systematic review Type de document : Article/Communication Auteurs : Sahar S. Matin, Auteur ; Biswajeet Pradhan, Auteur Année de publication : 2022 Article en page(s) : pp 6186 - 6212 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage profond
[Termes IGN] cartographie thématique
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] déformation d'édifice
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] données lidar
[Termes IGN] image optique
[Termes IGN] image radar moirée
[Termes IGN] secours d'urgence
[Termes IGN] séismeRésumé : (auteur) Assessing the extent and level of building damages is crucial to support post-earthquake rescue and relief activities. There is a large body of literature proposing novel frameworks for automating earthquake-induced building damage mapping using high-resolution remote sensing images. Yet, its deployment in real-world scenarios is largely limited to the manual interpretation of images. Although manual interpretation is costly and labor-intensive, it is preferred over automatic and semi-automatic building damage mapping frameworks such as machine learning and deep learning because of its reliability. Therefore, this review paper explores various automatic and semi-automatic building damage mapping techniques with a quest to understand the pros and cons of different methodologies to narrow the gap between research and practice. Further, the research gaps and opportunities are identified for the future development of real-world scenarios earthquake-induced building damage mapping. This review can serve as a guideline for researchers, decision-makers, and practitioners in the emergency management service domain. Numéro de notice : A2022-719 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2021.1933213 Date de publication en ligne : 07/06/2021 En ligne : https://doi.org/10.1080/10106049.2021.1933213 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101651
in Geocarto international > Vol 37 n° 21 [01/10/2022] . - pp 6186 - 6212[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2022211 RAB Revue Centre de documentation En réserve L003 Disponible Visualising post-disaster damage on maps: a user study / Thomas Candela in International journal of geographical information science IJGIS, vol 36 n° 7 (juillet 2022)PermalinkSimulation d'ouragans et de collectes de déchets sur QGIS pour l'amélioration de la collecte des déchets post-ouragan / Quy Thy Truong in Cartes & Géomatique, n° 247-248 (mars-juin 2022)PermalinkDetection of damaged buildings after an earthquake with convolutional neural networks in conjunction with image segmentation / Ramazan Unlu in The Visual Computer, vol 38 n° 2 (February 2022)PermalinkThree-Dimensional point cloud analysis for building seismic damage information / Fan Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 88 n° 2 (February 2022)PermalinkAutomatic extraction of damaged houses by earthquake based on improved YOLOv5: A case study in Yangbi / Yafei Jing in Remote sensing, vol 14 n° 2 (January-2 2022)PermalinkOBIA-based extraction of artificial terrace damages in the Loess plateau of China from UAV photogrammetry / Xuan Fang in ISPRS International journal of geo-information, vol 10 n° 12 (December 2021)PermalinkA repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: Evidence from three case studies in the South of France / Arnaud Cerbelaud in ISPRS Journal of photogrammetry and remote sensing, Vol 182 (December 2021)PermalinkDisaster intensity-based selection of training samples for remote sensing building damage classification / Luis Moya in IEEE Transactions on geoscience and remote sensing, vol 59 n° 10 (October 2021)PermalinkLearning from multimodal and multitemporal earth observation data for building damage mapping / Bruno Adriano in ISPRS Journal of photogrammetry and remote sensing, vol 175 (May 2021)PermalinkPotentialité des données satellitaires Sentinel-2 pour la cartographie de l’impact des feux de végétation en Afrique tropicale : application au Togo / Yawo Konko in Bois et forêts des tropiques, n° 347 ([02/04/2021])PermalinkDamage detection using SAR coherence statistical analysis, application to Beirut, Lebanon / Tamer ElGharbawi in ISPRS Journal of photogrammetry and remote sensing, vol 173 (March 2021)PermalinkOptimisations cartographiques pour la gestion des crises et des risques majeurs : le cas de la cartographie des dommages post-catastrophes / Thomas Candela (2021)PermalinkA framework for unsupervised wildfire damage assessment using VHR satellite images with PlanetScope data / Minkyung Chung in Remote sensing, vol 12 n° 22 (December-1 2020)PermalinkTowards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology / Aura Salmivaara in Forestry, an international journal of forest research, vol 93 n° 5 (October 2020)PermalinkOptimal segmentation of high spatial resolution images for the classification of buildings using random forests / James Bialas in International journal of applied Earth observation and geoinformation, vol 82 (October 2019)PermalinkPermalinkEstimating storm damage with the help of low-altitude photographs and different sampling designs and estimators / Pekka Hyvönen in Silva fennica, vol 52 n° 3 ([01/08/2018])PermalinkCombining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment / Bernd Resch in Cartography and Geographic Information Science, Vol 45 n° 4 (July 2018)PermalinkA spatio-temporal scenario model for emergency decision / Cheng Liu in Geoinformatica, vol 22 n° 2 (April 2018)PermalinkContextual classification using photometry and elevation data for damage detection after an earthquake event / Ewelina Rupnik in European journal of remote sensing, vol 51 n° 1 (2018)PermalinkAssessing forest windthrow damage using single-date, post-event airborne laser scanning data / Gherardo Chirici in Forestry, an international journal of forest research, vol 91 n° 1 (January 2018)PermalinkStand-level wind damage can be assessed using diachronic photogrammetric canopy height models / Jean-Pierre Renaud in Annals of Forest Science, vol 74 n° 4 (December 2017)PermalinkSemiautomatic detection and classification of materials in historic buildings with low-cost photogrammetric equipment / Javier Sanchez in Journal of Cultural Heritage, vol 25 (May - June 2017)PermalinkA virtual globe-based visualization and interactive framework for a small craft navigation assistance system in the near sea / Xinzhu Liu in Journal of Traffic and Transportation Engineering (English Edition), n° (April 2017)PermalinkUrban damage level mapping based on scattering mechanism investigation using fully polarimetric SAR Data for the 3.11 East Japan earthquake / Si-Wei Chen in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)PermalinkAssessing the ecosystem service flood protection of a riparian forest by applying a cascade approach / Nina-Christin Barth in Ecosystem Services, vol 21 Part A (October 2016)PermalinkExtreme events and climate change: the post-disaster dynamics of forest fires and forest storms in Sweden / Rolf Lidskog in Scandinavian journal of forest research, vol 31 n° 2 (March 2016)PermalinkThe use of laser scanning as a method for measuring stairways following an accident / M. Eyre in Survey review, vol 48 n° 347 (March 2016)PermalinkThe Costa Concordia last cruise: The first application of high frequency monitoring based on COSMO-SkyMed constellation for wreck removal / Andrea Ciampalini in ISPRS Journal of photogrammetry and remote sensing, vol 112 (February 2016)PermalinkGestion de collecte des déchets post-inondation / Oumayma Kaabi (2016)PermalinkThe ill wind that blew some good / Miroslav Holubec in GEO: Geoconnexion international, vol 15 n° 1 (January 2016)PermalinkUne infrastructure atlantique pour la recherche sur l'adaptation des forêts au changement climatique / Christophe Orazio in Forêt entreprise, n° 223 (juillet-août 2015)PermalinkDeveloping predictive models of wind damage in Austrian forests / Ferenc Pasztor in Annals of Forest Science, vol 72 n° 3 (May 2015)PermalinkLaser scanning-based detection of morphological changes of a historical building occurred during a seismic sequence: Method and case study / Arianna Pesci in International Journal of Geomatics and Geosciences, vol 5 n° 3 (February 2015)PermalinkVegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 / Zhuoting Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)PermalinkContribution de l'imagerie Pléiades à la cartographie rapide des dégâts suite à des catastrophes majeures : retours d'expériences après deux ans d'actions de cartographie rapide localisées en Asie, en Afrique, en Europe et aux Caraïbes / Hervé Yésou in Revue Française de Photogrammétrie et de Télédétection, n° 209 (Janvier 2015)PermalinkEvaluation de dégâts de tempête à l'échelle infra-parcellaire à partir d'une image Pléiades à très haute résolution sur un massif forestier feuillu en France / Anne Jolly in Revue Française de Photogrammétrie et de Télédétection, n° 209 (Janvier 2015)PermalinkRetrieving the stand age from a retrospective detection of multinannual forest changes using Landsat data. Application on the heavily managed maritime pine forest in Southwestern France from a 30-year Landsat time-series (1984–2014) / Dominique Guyon (2015)PermalinkComparaison de méthodes d'extraction automatique à partir d'images multispectrales / Valerio Baiocchi in Géomatique expert, n° 96 (01/01/2014)PermalinkIntegrating environmental variables and WorldView-2 image data to improve the prediction and mapping of Thaumastocoris peregrinus (bronze bug) damage in plantation forests / Zakariyyaa Oumar in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkA comprehensive review of earthquake-induced building damage detection with remote sensing techniques / Laigen Dong in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)PermalinkModelling the impacts of civil war on land use and land cover change within Kono District, Sierra Leone: a socio-geospatial approach / Sigismond A. Wilson in Geocarto international, vol 28 n° 5-6 (August - October 2013)PermalinkUse of shadows for detection of earthquake-induced collapsed buildings in high-resolution satellite imagery / Xiaohua Tong in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkSpatial resolution imagery requirements for identifying structure damage in a hurricane disaster: A cognitive approach / S. Battersby in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 6 (June 2012)PermalinkBuilding-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake / X. Tong in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)PermalinkMonitoring disasters with a constellation of satellites - type examples from the International Charter ‘Space and Major Disasters’ / A. Mahmood in Geocarto international, vol 27 n° 2 (March 2012)PermalinkUtilisation d'images à haute et très haute résolution pour la mise à jour de la carte de l'Aquila (Italie) / Valerio Baiocchi in Géomatique expert, n° 85 (01/03/2012)PermalinkLidar online: Analysing earthquake damage / R. Torro in GIM international, vol 25 n° 11 (November 2011)PermalinkDamage assessment of 2010 Haïti earthquake with post-earthquake satellite image by support vector selection and adaptation / Gülsen Taskin Kaya in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 10 (October 2011)PermalinkAutomated damage indication for rapid geospatial reporting / D. Tiede in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 9 (September 2011)PermalinkGeospatial disaster response during the Haiti earthquake : A case study spanning airborne deployment, data collection, transfer, processing, and dissemination / Jan Van Aardt in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 9 (September 2011)PermalinkRapid-damage assessment and situation mapping : learning from the 2010 Haïti earthquake / S. Voigt in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 9 (September 2011)PermalinkMonitoring Japan's triple disasters from space / Anonyme in GEO: Geoconnexion international, vol 10 n° 5 (may 2011)PermalinkElaboration d'une carte dynamique des dégâts causés par les lahars au Merapi (Java centre, Indonésie) dans le cadre du programme MIA VITA / A.K. Robin (2011)PermalinkDétection de dommages et évaluation des dégâts du réseau routier après un séisme, en utilisant des images QuickBird haute résolution / A. Haghighattalab in XYZ, n° 124 (septembre - novembre 2010)PermalinkContext-based mapping of damaged buildings from high-resolution optical satellite images / T. Vu in International Journal of Remote Sensing IJRS, vol 31 n° 13 (July /2010)PermalinkDamage consequence chain mapping after the Wenchuan Earthquake using remotely sensed data / H. Guo in International Journal of Remote Sensing IJRS, vol 31 n° 13 (July /2010)PermalinkLa gestion du risque en France : contre ou avec le territoire / Nancy Meschinet De Richemond in Annales de géographie, n° 673 (mai - juin 2010)PermalinkÉtude rétrospective et mise à jour de la ressource en pin maritime du massif des Landes de Gascogne après la tempête Klaus du 24 janvier 2009 / Antoine Colin (2010)PermalinkUsing building permits to monitor disaster recovery: a spatio-temporal case study of coastal Mississipi following hurricane Katrina / J. Stevenson in Cartography and Geographic Information Science, vol 37 n° 1 (January 2010)PermalinkApplication of a model to the evaluation of flood damage / Fabio Luino in Geoinformatica, vol 13 n° 3 (September 2009)PermalinkDisaster mapping 2.0 collaborating via GIS and geo-web-services / B. Kobben in GIM international, vol 23 n° 7 (July 2009)PermalinkSensibilité de l'évaluation des dommages associés aux inondations en fonction de la caractérisation de la vulnérabilité des bâtiments / Julian Eleuterio in Ingénieries : eau, agriculture, territoires, n° 55-56 (2008)PermalinkThe role of the integration of remote sensing and GIS in land use/land cover analysis after an earthquake / C. Aydoner in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)PermalinkEvaluation par télédétection des dommages provoqués par les tremblements de terre / Anonyme in Géomatique expert, n° 68 (01/04/2009)PermalinkDe Lotha à Klaus : l'information géographique progresse / Françoise de Blomac in SIG la lettre, n° 104 (février 2009)PermalinkEscala Macrosísmica Europea EMS-98 / G. Grunthal (2009)PermalinkÉvaluation du préjudice monétaire subi par les propriétaires forestiers suite à la tempête Klaus : le cas des dégâts subis par le Pin maritime / Sandrine Costa in Revue forestière française, vol 61 n° 1 (janvier - février 2009)PermalinkLa forêt face aux tempêtes / Yves Birot (2009)PermalinkInternational workshop on validation of geo-information products for crisis management, Valgeo 2009, 23- 25 November 2009, Ispra, Italy / Christina Corbane (2009)PermalinkThe Sichuan earthquake (1): satellite imagery for rapid response / Timo Balz in GIM international, vol 22 n° 10 (October 2008)PermalinkUplift and subsidence due to the 26 December 2004 Indonesian earthquake detected by SAR data / Marco Chini in International Journal of Remote Sensing IJRS, vol 29 n°13-14 (July 2008)PermalinkMonitoring and assessing structural damage in historic buildings / Julia Armesto in Photogrammetric record, vol 23 n° 121 (March - May 2008)PermalinkLa vulnérabilité structurelle comme outil de compréhension des mécanismes d'endommagement / Jean-François Gleyze in Géocarrefour, vol 82 n° 1-2 ([01/11/2007])PermalinkWildfires and remote sensing / Ioannis Z. Gitas in Geoinformatics, vol 10 n° 7 (01/11/2007)PermalinkSatellite image analysis for disaster and crisis-management support / S. Voigt in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)PermalinkFlood response / A. Melihen in GEO: Geoconnexion international, vol 6 n° 5 (may 2007)PermalinkInondations : les maires moins seuls / M. Mayo in Géomètre, n° 2033 (janvier 2007)PermalinkModelling the risk of cyclone wave damage to coral reefs using GIS: a case study of the Great Barrier Reef, 1969-2003 / M.L. Puotinen in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)PermalinkMapping damage in the Jammu and Kashmir caused by 8 October 2005 mw 7.3 earthquakes from the Cartosat-1 and Resourcesat-1 imagery / K. Vinod Kumar in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkAnalyse 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)PermalinkAnalyse de la vulnérabilité d'un système territorial complexe aux aléas naturels / E. Garbolino in Revue internationale de géomatique, vol 16 n°3 - 4 (septembre – novembre 2006)PermalinkMéthodes et solutions pour maîtriser le risque de rupture de digues, des modèles de rupture de digues couplés à un SIG / D. Serre in Revue internationale de géomatique, vol 16 n°3 - 4 (septembre – novembre 2006)PermalinkAssessment of Quickbird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation / Nicholas C. Coops in Remote sensing of environment, vol 103 n° 1 (15 July 2006)PermalinkPostflood damage evaluation using landsat TM and ETM+ data integrated with DEM / M. Gianinetto in IEEE Transactions on geoscience and remote sensing, vol 44 n° 1 (January 2006)PermalinkClassifying and mapping wildfire severity: a comparison of methods / C.K. Brewer in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 11 (November 2005)PermalinkTypologie des paysages forestiers du sud du massif de Fontainebleau après la tempête de décembre 1999 / V. Godard in Revue internationale de géomatique, vol 15 n° 3 (septembre – novembre 2005)PermalinkStructural damage assessments from Ikonos data using change detection, object-oriented segmentation, and classification techniques / D.H.A. Khudhairy in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 7 (July 2005)PermalinkLa dimension sociale, culturelle et organisationnelle de la vulnérabilité territoriale / S. Caragliano in Le monde des cartes, n° 183 (mars - mai 2005)PermalinkUtilisation des anomalies morphologiques sur des images à très haute résolution dans la détection de dommages occasionnés par des séismes sur un milieu urbain peu densifié / G. Andre in Photo interprétation, vol 41 n° 1 (Mars 2005)PermalinkVulnérabilité des fonctions urbaines, vers une approche systémique semi-quantitative / O. Deck in Le monde des cartes, n° 183 (mars - mai 2005)PermalinkAutomatic detection of earthquake-damaged buildings using DEMs created from pre- and post-earthquake stereo aerial photographs / M. Turker in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)PermalinkApport de l'imagerie spatiale à la gestion des risques environnementaux, étude de cas / T. Dupuy (2005)PermalinkLa vulnérabilité structurelle des réseaux de transport dans un contexte de risques, Volume 2. Annexes / Jean-François Gleyze (2005)PermalinkLandslide susceptibility mapping using GIS and the weight-of-evidence model / S. Lee in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)Permalink