dc.contributor.author | Mamani-Aliaga, Alvaro | |
dc.contributor.author | Yari-Ramos, Yessenia | |
dc.contributor.author | Yanyachi Aco-Cardenas, Pablo | |
dc.contributor.author | Apaza Veliz, Ronald | |
dc.date.accessioned | 2018-12-17T03:07:59Z | |
dc.date.accessioned | 2022-04-04T16:25:13Z | |
dc.date.available | 2018-12-17T03:07:59Z | |
dc.date.available | 2022-04-04T16:25:13Z | |
dc.date.issued | 2018-09 | |
dc.identifier.isbn | 978-0-9993443-1-6 | |
dc.identifier.issn | 2414-6390 | |
dc.identifier.other | http://laccei.org/LACCEI2018-Lima/meta/FP307.html | |
dc.identifier.uri | http://dx.doi.org/10.18687/LACCEI2018.1.1.307 | |
dc.identifier.uri | http://axces.info/handle/10.18687/2018102_307 | |
dc.description.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. | en_US |
dc.language.iso | English | en_US |
dc.publisher | LACCEI Inc. | en_US |
dc.rights | LACCEI License | |
dc.rights.uri | https://laccei.org/blog/copyright-laccei-papers/ | |
dc.subject | Satellite images | en_US |
dc.subject | high performance computing | en_US |
dc.subject | wetlands | en_US |
dc.title | Tunki Project: Wetland Remote Sensing using Satellite Images and High Performance Computing | |
dc.type | Article | en_US |
dc.description.country | Peru | en |
dc.description.institution | UNIVERSIDAD NACIONAL DE SAN AGUSTÍN | en |
dc.description.track | Information Technology, Technology Management, Ethics, Technology and Society | en |
dc.journal.referato | peerReview | |