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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15763
Title: Tunki project: Wetland remote sensing using satellite images and high performance computing
Authors: Mamani Aliaga, Alvaro
Yari Ramos, Yessenia Deysi
Apaza Veliz, Ronald
Aco Cardenas , Pablo Yanyachi
Keywords: High Performance Computing;Satellite Images;Wetlands
Issue Date: 2018
Publisher: Latin American and Caribbean Consortium of Engineering Institutions
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057488181&doi=10.18687%2fLACCEI2018.1.1.307&partnerID=40&md5=184e0016438365a894d7acfd905afdab
Abstract: Wetlands are important for the world due to the benefits they offer to humanity. However, there are studies showing their decrease in number in several regions. A form of monitoring of the wetlands is necessary to evaluate their reduction, appearance and / or disappearance. The Tunki project is a project to detect wetlands in a given region using satellite images and high-performance computing. The present work, exposes its architecture and its case study: the wetlands in the Chili river basin of the Arequipa-Peru region. The results show the wetlands detected and the mosaics generated using the satellite images and HPC. © 2018 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15763
ISBN: urn:isbn:9780999344316
ISSN: 24146390
Appears in Collections:Artículos - Ciencia de la computación

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