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Flood analysis in Peru using satellite image: The Summer 2017 case

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dc.contributor.author Roman Gonzalez, Avid
dc.contributor.author Meneses Claudio, Brian
dc.date.accessioned 2019-08-01T03:36:43Z
dc.date.available 2019-08-01T03:36:43Z
dc.date.issued 2019
dc.identifier.citation Roman-Gonzalez, A., Meneses-Claudio, B. A., & Vargas-Cuentas, N. I. (2019). Flood analysis in Peru using satellite image: The Summer 2017 case. International Journal of Advanced Computer Science and Applications, 10(2), 346-351. en_PE
dc.identifier.issn 2158-107X
dc.identifier.issn 2156-5570
dc.identifier.uri http://repositorio.uch.edu.pe/handle/uch/294
dc.identifier.uri http://doi.org/10.14569/IJACSA.2019.0100246
dc.identifier.uri https://thesai.org/Publications/ViewPaper?Volume=10&Issue=2&Code=IJACSA&SerialNo=46
dc.description.abstract At the beginning of the year 2017, different regions of Peru suffered from heavy rains mainly due to the 'El Niño' and 'La Niña' phenomena. As a result of these massive storms, several cities were affected by overflows and landslides. Chosica and Piura were the most affected cities. On the other hand, the satellite images have many applications, one of them is the aid for the better management of the natural disasters (post-disaster management). In this sense, the present work proposes the use of radar satellite images from Sentinel constellation to make an analysis of the most-affected areas by floods in the cities of Chosica and Piura. The applied methodology is to analyse and compare two images (one before and one after the disaster) to identify the affected areas based on differences between both images. The analysing process includes radiometric calibration, speckle filtering, terrain correction, histogram plotting, and image binarization. The results show maps of the analysed cities and identify a significant number of areas flooded according to satellite images from March 2017. Using the resulting maps, authorities can make better decisions. The satellite images used were from the Sentinel 1 satellite belonging to the European Union. en
dc.format application/pdf
dc.language.iso eng
dc.publisher Science and Information Organization en_PE
dc.relation info:eu-repo/semantics/article
dc.relation.isPartOf International Journal of Advanced Computer Science and Applications
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.source Repositorio Institucional - UCH en_PE
dc.source Universidad de Ciencias y Humanidades en_PE
dc.subject Landslide en
dc.subject natural disasters en
dc.subject Satellite image en
dc.title Flood analysis in Peru using satellite image: The Summer 2017 case en_PE
dc.type info:eu-repo/semantics/article
dc.identifier.doi 10.14569/IJACSA.2019.0100246 en_PE
dc.identifier.journal International Journal of Advanced Computer Science and Applications en_PE
dc.identifier.scopus 2-s2.0-85063565469


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