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dc.contributor.authorMamani-Aliaga, Alvaro
dc.contributor.authorYari-Ramos, Yessenia
dc.contributor.authorYanyachi Aco-Cardenas, Pablo
dc.contributor.authorApaza Veliz, Ronald
dc.date.accessioned2018-12-17T03:07:59Z
dc.date.accessioned2022-04-04T16:25:13Z
dc.date.available2018-12-17T03:07:59Z
dc.date.available2022-04-04T16:25:13Z
dc.date.issued2018-09
dc.identifier.isbn978-0-9993443-1-6
dc.identifier.issn2414-6390
dc.identifier.otherhttp://laccei.org/LACCEI2018-Lima/meta/FP307.html
dc.identifier.urihttp://dx.doi.org/10.18687/LACCEI2018.1.1.307
dc.identifier.urihttp://axces.info/handle/10.18687/2018102_307
dc.description.abstractWetlands 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.isoEnglishen_US
dc.publisherLACCEI Inc.en_US
dc.rightsLACCEI License
dc.rights.urihttps://laccei.org/blog/copyright-laccei-papers/
dc.subjectSatellite imagesen_US
dc.subjecthigh performance computingen_US
dc.subjectwetlandsen_US
dc.titleTunki Project: Wetland Remote Sensing using Satellite Images and High Performance Computing
dc.typeArticleen_US
dc.description.countryPeruen
dc.description.institutionUNIVERSIDAD NACIONAL DE SAN AGUSTÍNen
dc.description.trackInformation Technology, Technology Management, Ethics, Technology and Societyen
dc.journal.referatopeerReview


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  • 2018 LACCEI - Lima, Perú
    The Sixteen LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology.

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