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Auteur Gunter Zeug |
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Automated delineation of wildfire areas using Sentinel-2 satellite imagery / Mira Weirather in GI Forum, vol 2018 n° 1 ([01/01/2018])
[article]
Titre : Automated delineation of wildfire areas using Sentinel-2 satellite imagery Type de document : Article/Communication Auteurs : Mira Weirather, Auteur ; Gunter Zeug, Auteur ; Thomas Schneider, Auteur Année de publication : 2018 Article en page(s) : pp 251 - 262 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Copernicus (programme européen)
[Termes IGN] extraction automatique
[Termes IGN] image Sentinel-MSI
[Termes IGN] incendie de forêt
[Termes IGN] informatique en nuageRésumé : (auteur) Climate change will bring many changes to the world. For example, the frequency and severity of natural hazards and related disasters are expected to increase globally. Wildfires already affect thousands of people every year and cause billions of Euros’ worth of damage. It is therefore paramount to develop measures that help deal with the consequences of wildfires. Forests being the largest terrestrial ecosystem in the European Union and providing many ecosystem services, their loss due to wildfires is of serious concern. In this study, an algorithm to extract the burned area of wildfire events is presented. It was developed on the basis of three fire events in 2017. The procedure is fully automated, from downloading suitable data to determining the burned area by applying the differenced Normalized Burn Ratio (dNBR) on open Sentinel-2 satellite imagery from the European Copernicus programme. First results show good performance and encourage its further development and application. It is planned that the output of our mapping will feed into and be used in calibrating wildfire simulations during longer fire events. Numéro de notice : A2018-302 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1553/giscience2018_01_s251 En ligne : https://doi.org/10.1553/giscience2018_01_s251 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90400
in GI Forum > vol 2018 n° 1 [01/01/2018] . - pp 251 - 262[article]Quantifiying the building stock optical high-resolution satellite imagery for assessing disaster risk / D. Ehrlich in Geocarto international, vol 25 n° 4 (July 2010)
[article]
Titre : Quantifiying the building stock optical high-resolution satellite imagery for assessing disaster risk Type de document : Article/Communication Auteurs : D. Ehrlich, Auteur ; Gunter Zeug, Auteur ; Javier Gallego, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 281 - 293 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bâtiment
[Termes IGN] échantillonnage d'image
[Termes IGN] image à haute résolution
[Termes IGN] image optique
[Termes IGN] inférence statistique
[Termes IGN] inventaire du bâti
[Termes IGN] Philippines
[Termes IGN] risque naturel
[Termes IGN] séismeRésumé : (Auteur) This study uses high-resolution (HR) satellite imagery to quantify the stock of buildings, referred herein as building stock. The risk assessment requires information on the natural hazards and on the element at risk, that is the building stock in this article. This study combines (1) texture-based image processing to map built-up areas, (2) statistical sampling that allows locating the building samples and (3) photo-interpretation to encoding building footprints. Statistical inference is then used to quantify the building stock per class of building size. Legaspi in the Philippines is used as a case study. The results show that texture-based computer algorithms provide accurate area estimations of the built-up, that the detail of HR imagery allows the mapping of single buildings using photo-interpretation, and that a systematic sampling approach that uses building encoding and built-up maps can be used to quantify the building stock. Numéro de notice : A2010-277 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040903521829 Date de publication en ligne : 09/04/2010 En ligne : https://doi.org/10.1080/10106040903521829 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30471
in Geocarto international > vol 25 n° 4 (July 2010) . - pp 281 - 293[article]Réservation
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