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dc.contributor.authorGarnier, Jeremiept_BR
dc.contributor.authorCicerelli, Rejane Ennespt_BR
dc.contributor.authorAlmeida, Tati dept_BR
dc.contributor.authorBelo, Julia C. R.pt_BR
dc.contributor.authorCurto, Julia Barbosapt_BR
dc.contributor.authorRamos, Ana Paula Marquespt_BR
dc.contributor.authorValadão, Larissa Vieirapt_BR
dc.contributor.authorSatge, Fredericpt_BR
dc.contributor.authorBonnet, Marie-Paulept_BR
dc.date.accessioned2026-08-10T14:44:44Z-
dc.date.available2026-08-10T14:44:44Z-
dc.date.issued2024-7-30pt_BR
dc.identifier.citationGARNIER, Jeremie et al. Water resources monitoring in a remote region: earth observation-based study of endorheic lakes. Remote Sensing, [S. l.], v. 16, n. 15, 2790, 2024. DOI: https://doi.org/10.3390/rs16152790. Disponível em: https://www.mdpi.com/2072-4292/16/15/2790. Acesso em: 10 ago. 2026.pt_BR
dc.identifier.urihttps://doi.org/10.3390/rs16152790pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/55613-
dc.language.isoengpt_BR
dc.publisherMDPI AGpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleWater resources monitoring in a remote region: earth observation-based study of endorheic lakespt_BR
dc.typeArtigopt_BR
dc.rights.licenseThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/).pt_BR
dc.identifier.doihttps://doi.org/10.3390/rs16152790pt_BR
dc.description.abstract1In the western Andes, climate changes have led to drastic ecological changes during the Pleistocene and Holocene. Given the debate surrounding precipitation pattern changes and the lack of research on lakes in the Chilean Altiplano, this study aims to assess recent climate changes. The paper presents an innovative methodology based on Google Earth Engine (GEE), utilizing fluctuations in water levels in endorheic lakes as natural precipitation indicators. Three lakes (Chungará, Miscanti, and Miniques) in isolated drainage systems were studied, where changes in water levels directly reflect rainfall variations. Data from Landsat-OLI 8, Landsat-ETM+, Landsat-TM 5, and MODIS spanning 31 years were processed using the Google Earth Engine platform. The shapes of the water bodies were extracted using hue saturation value (HSV) composites. The surface areas of the lakes were compared with precipitation data from national meteorological stations and the Tropical Rainfall Measuring Mission (TRMM) using linear regression analyses. Both lake area and rainfall volume showed a decrease over time, with varying trends depending on environmental conditions. However, the analysis consistently indicates a reduction in the area and volume of Chilean lakes corresponding to observed rainfall patterns over the past three decades.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9571-7933pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-8199-5163pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-6387-8254pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-6633-2903pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-8961-9517pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3950-4041pt_BR
dc.contributor.affiliationUniversity of Brasilia, Geoscience Institute, Graduate Program in Geology and in Applied Geosciences and Geodynamicspt_BR
dc.contributor.affiliationUnB/IRD, Joint International Laboratory LMI OCE “Observatory of Environmental Change”pt_BR
dc.contributor.affiliationUniversity of Brasilia, Geoscience Institute, Graduate Program in Geology and in Applied Geosciences and Geodynamicspt_BR
dc.contributor.affiliationUniversity of Brasilia, Geoscience Institute, Graduate Program in Geology and in Applied Geosciences and Geodynamicspt_BR
dc.contributor.affiliationUniversity of Brasilia, Geoscience Institute, Graduate Program in Geology and in Applied Geosciences and Geodynamicspt_BR
dc.contributor.affiliationUniversity of Brasilia, Geoscience Institute, Graduate Program in Geology and in Applied Geosciences and Geodynamicspt_BR
dc.contributor.affiliationSão Paulo State University (Unesp), Department of de Cartography Roberto Simonsenpt_BR
dc.contributor.affiliationUniversity of Brasilia, Geoscience Institute, Graduate Program in Geology and in Applied Geosciences and Geodynamicspt_BR
dc.contributor.affiliationUnB/IRD, Joint International Laboratory LMI OCE “Observatory of Environmental Change”pt_BR
dc.contributor.affiliationUniversity of Montpellier, French National Research Institute for Sustainable Development (IRD)—UMR Espace-DEVpt_BR
dc.contributor.affiliationJoint International Laboratory LMI OCE “Observatory of Environmental Change”, UnB/IRD, Brasilia 71750-000, DF, Brazilpt_BR
dc.contributor.affiliationUniversity of Montpellier, French National Research Institute for Sustainable Development (IRD)—UMR Espace-DEVpt_BR
dc.contributor.affiliationUniversity of Brasilia, Center of Sustainable Development (CDS)pt_BR
dc.description.unidadeInstituto de Geociências (IG)-
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