Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-Peru

Bibliographic Details
Main Author: Villavicencio, Lourdes Milagros Mendoza
Publication Date: 2018
Other Authors: Mendes, David, Andrade, Lára de Melo Barbosa, Monteiro, Felipe Ferreira
Format: Article
Language: por
Source: Repositório Institucional da UFRN
dARK ID: ark:/41046/001300000b2m0
Download full: https://repositorio.ufrn.br/jspui/handle/123456789/29098
Summary: The exercise of mapping through medium or high resolution satellite images to a large extent is a computationally expensive procedure. It may take days or weeks to get the final maps. To increase the speed of time-consuming procedures, the use of supercomputers is a common practice. GoogleTM has developed a product designed specifically for Earth (Earth Engine) purposes, allowing users to leverage their computing power and the mobility of a cloudbased solution. In this work, we explore the feasibility of using this platform for the mapping of the soil cover and the dynamics through time, making use of satellite images, as an application was made the mapping of the Vilcanota mountain range in Southeastern Peru, with the objective of analyzing the changes in ice cover between the years 1985, 1996, 2006 and 2016. The results pointed to the evidence of the regression in the ice cover of the mountain range, showing that the region below 5300 meters of altitude contributed with the greater loss of ice cover , while the region with higher altitudes presented stability or slight increase in ice cover. The methodology can be easily applied to other glaciers in the world and develop analysis of time spaces on a global scale
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spelling Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-PeruGoogle Earth Engine: Mapping Changes in the Vilcanota-Peru Mountain RangeGoogle Earth Engine; Sensoriamento Remoto; GlaciaisThe exercise of mapping through medium or high resolution satellite images to a large extent is a computationally expensive procedure. It may take days or weeks to get the final maps. To increase the speed of time-consuming procedures, the use of supercomputers is a common practice. GoogleTM has developed a product designed specifically for Earth (Earth Engine) purposes, allowing users to leverage their computing power and the mobility of a cloudbased solution. In this work, we explore the feasibility of using this platform for the mapping of the soil cover and the dynamics through time, making use of satellite images, as an application was made the mapping of the Vilcanota mountain range in Southeastern Peru, with the objective of analyzing the changes in ice cover between the years 1985, 1996, 2006 and 2016. The results pointed to the evidence of the regression in the ice cover of the mountain range, showing that the region below 5300 meters of altitude contributed with the greater loss of ice cover , while the region with higher altitudes presented stability or slight increase in ice cover. The methodology can be easily applied to other glaciers in the world and develop analysis of time spaces on a global scaleO exercício de mapeamento através de imagens satélites de média ou alta resolução em grande extensão é um procedimento dispendioso em termos computacionais. Pode levar dias ou semanas para obter os mapas finais. Para aumentar a velocidade de procedimentos demorados, o uso de supercomputadores é uma prática comum. GoogleTM desenvolveu um produto projetado especificamente para fins de mapeamento (Earth Engine), permitindo que os usuários aproveitem seu poder de computação e a mobilidade de uma solução baseada em nuvem. Neste trabalho, exploramos a viabilidade de utilizar esta plataforma para o mapeamento de cobertura do solo e a dinâmica através do tempo, fazendo uso de imagens de satélite, como aplicação foi realizado o mapeamento da cordilheira Vilcanota no Sudeste do Peru, com o objetivo de analisar as alterações na cobertura de gelo entre as décadas 1985, 1996, 2006, 2016. Os resultados apontaram a evidencia do retrocesso na cobertura de gelo da cordilheira, mostrando que a região abaixo de 5300 metros de altitude contribuiu com a maior perda da cobertura de gelo, enquanto que a região com maiores altitudes apresentou estabilidade ou ligeiro aumento na cobertura de gelo. A metodologia pode ser facilmente aplicada a outras geleiras do mundo e desenvolver analise espaços temporais em escala globalAnuário do Instituto de Geociências2020-05-30T14:17:24Z2020-05-30T14:17:24Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfVILLAVICENCIO, L. M. M. ; Mendes, D. ; ANDRADE, L. M. B. ; MONTEIRO, F. F. . Google Earth Engine: Mapping Changes in the Vilcanota-Peru Mountain Range. Anuário do Instituto de Geociências - UFRJ, v. 41, p. 427-433, 2018. Disponível em: http://www.anuario.igeo.ufrj.br/2018_03/2018_3_427-433.pdf. Acesso em: 29 Maio 2020. http://dx.doi.org/10.11137/2018_3_427_433https://repositorio.ufrn.br/jspui/handle/123456789/2909810.11137/2018_3_427_433ark:/41046/001300000b2m0Attribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessVillavicencio, Lourdes Milagros MendozaMendes, DavidAndrade, Lára de Melo BarbosaMonteiro, Felipe Ferreiraporreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRN2020-05-31T07:54:12Zoai:repositorio.ufrn.br:123456789/29098Repositório InstitucionalPUBhttp://repositorio.ufrn.br/oai/repositorio@bczm.ufrn.bropendoar:2020-05-31T07:54:12Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.none.fl_str_mv Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-Peru
Google Earth Engine: Mapping Changes in the Vilcanota-Peru Mountain Range
title Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-Peru
spellingShingle Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-Peru
Villavicencio, Lourdes Milagros Mendoza
Google Earth Engine; Sensoriamento Remoto; Glaciais
title_short Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-Peru
title_full Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-Peru
title_fullStr Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-Peru
title_full_unstemmed Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-Peru
title_sort Google Earth Engine: Mapeamento das Mudanças na Cordilheira Vilcanota-Peru
author Villavicencio, Lourdes Milagros Mendoza
author_facet Villavicencio, Lourdes Milagros Mendoza
Mendes, David
Andrade, Lára de Melo Barbosa
Monteiro, Felipe Ferreira
author_role author
author2 Mendes, David
Andrade, Lára de Melo Barbosa
Monteiro, Felipe Ferreira
author2_role author
author
author
dc.contributor.author.fl_str_mv Villavicencio, Lourdes Milagros Mendoza
Mendes, David
Andrade, Lára de Melo Barbosa
Monteiro, Felipe Ferreira
dc.subject.por.fl_str_mv Google Earth Engine; Sensoriamento Remoto; Glaciais
topic Google Earth Engine; Sensoriamento Remoto; Glaciais
description The exercise of mapping through medium or high resolution satellite images to a large extent is a computationally expensive procedure. It may take days or weeks to get the final maps. To increase the speed of time-consuming procedures, the use of supercomputers is a common practice. GoogleTM has developed a product designed specifically for Earth (Earth Engine) purposes, allowing users to leverage their computing power and the mobility of a cloudbased solution. In this work, we explore the feasibility of using this platform for the mapping of the soil cover and the dynamics through time, making use of satellite images, as an application was made the mapping of the Vilcanota mountain range in Southeastern Peru, with the objective of analyzing the changes in ice cover between the years 1985, 1996, 2006 and 2016. The results pointed to the evidence of the regression in the ice cover of the mountain range, showing that the region below 5300 meters of altitude contributed with the greater loss of ice cover , while the region with higher altitudes presented stability or slight increase in ice cover. The methodology can be easily applied to other glaciers in the world and develop analysis of time spaces on a global scale
publishDate 2018
dc.date.none.fl_str_mv 2018
2020-05-30T14:17:24Z
2020-05-30T14:17:24Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv VILLAVICENCIO, L. M. M. ; Mendes, D. ; ANDRADE, L. M. B. ; MONTEIRO, F. F. . Google Earth Engine: Mapping Changes in the Vilcanota-Peru Mountain Range. Anuário do Instituto de Geociências - UFRJ, v. 41, p. 427-433, 2018. Disponível em: http://www.anuario.igeo.ufrj.br/2018_03/2018_3_427-433.pdf. Acesso em: 29 Maio 2020. http://dx.doi.org/10.11137/2018_3_427_433
https://repositorio.ufrn.br/jspui/handle/123456789/29098
10.11137/2018_3_427_433
dc.identifier.dark.fl_str_mv ark:/41046/001300000b2m0
identifier_str_mv VILLAVICENCIO, L. M. M. ; Mendes, D. ; ANDRADE, L. M. B. ; MONTEIRO, F. F. . Google Earth Engine: Mapping Changes in the Vilcanota-Peru Mountain Range. Anuário do Instituto de Geociências - UFRJ, v. 41, p. 427-433, 2018. Disponível em: http://www.anuario.igeo.ufrj.br/2018_03/2018_3_427-433.pdf. Acesso em: 29 Maio 2020. http://dx.doi.org/10.11137/2018_3_427_433
10.11137/2018_3_427_433
ark:/41046/001300000b2m0
url https://repositorio.ufrn.br/jspui/handle/123456789/29098
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Anuário do Instituto de Geociências
publisher.none.fl_str_mv Anuário do Instituto de Geociências
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
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institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
repository.name.fl_str_mv Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)
repository.mail.fl_str_mv repositorio@bczm.ufrn.br
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