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Simple method for identification of forest windthrows from Sentinel-1 SAR data incorporating PCA / Milan Lazecky in Procedia Computer Science, vol 181 (2021)  

Public [article]  inProcedia Computer Science > vol 181 (2021) . - pp 1154 - 1161 Titre : Simple method for identification of forest windthrows from Sentinel-1 SAR data incorporating PCA Type de document : Article/Communication Auteurs : Milan Lazecky, Auteur ; Sweety Wadhwa, Auteur ; Marek Mlcousek, Auteur ; Joaquim J. Sousa, Auteur Année de publication : 2021 Article en page(s) : pp 1154 - 1161 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] analyse en composantes principales [Termes IGN] dommage forestier causé par facteurs naturels [Termes IGN] forêt [Termes IGN] image Sentinel-SAR [Termes IGN] République Tchèque [Termes IGN] tempête Résumé : (auteur) We present outcomes from our experimental work towards identification of forest segments in Czech Jeseniky mountains damaged by a hurricane event on March 17, 2018. We have specifically processed Sentinel-1 satellite radar data and identified a functional methodology of extracting extents of the affected segments. The backscatter intensity of the damaged forest segments in Sentinel-1 images does not change significantly, subject to the sensitivity of the instrument. We have identified that a careful preprocessing of the data can lead to a state of possibility to identify edges of the affected areas in one of Principal Components (PC) generated from a set of dual-polarisation images before and after the event. In our case, these features were clearly visible in PC3 that was used in post-processing chain incorporating strong spatial filtering and edge detection routines. The identified damaged forest segments were validated by mapping during visiting one of the areas and by a comparison with multispectral satellite imagery, from data taken following year (as the damaged forest areas were already cleared and not regenerated). The approach can bring advantage in possibility of early preliminary mapping of the forest damages. Numéro de notice : A2021-940 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.procs.2021.01.312 Date de publication en ligne : 22/02/2021 En ligne : https://doi.org/10.1016/j.procs.2021.01.312 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99750 [article]