{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T12:53:28Z","timestamp":1781787208827,"version":"3.54.5"},"reference-count":68,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The fast retreat of the tropical Andean glaciers (TAGs) is considered an important indicator of climate change impact on the tropics, since the TAGs provide resources to highly vulnerable mountain populations. This study aims to reconstruct the glacier coverage of the TAGs, using Landsat time-series images from 1985 to 2020, by digitally processing and classifying satellite images in the Google Earth Engine platform. We used annual reductions of the Normalized Difference Snow Index (NDSI) and spectral bands to capture the pixels with minimum snow cover. We also implemented temporal and spatial filters to have comparable maps at a multitemporal level and reduce noise and temporal inconsistencies. The results of the multitemporal analysis of this study confirm the recent and dramatic recession of the TAGs in the last three decades, in base to physical and statistical significance. The TAGs reduced from 2429.38 km2 to 1409.11 km2 between 1990 and 2020, representing a loss of 42% of the total glacier area. In addition, the time-series analysis showed more significant losses at altitudes below 5000 masl, and differentiated changes by slope, latitude, and longitude. We found a more significant percentage loss of glacier areas in countries with less coverage. The multiannual validation showed accuracy values of 92.81%, 96.32%, 90.32%, 97.56%, and 88.54% for the metrics F1 score, accuracy, kappa, precision, and recall, respectively. The results are an essential contribution to understanding the TAGs and guiding policies to mitigate climate change and the potential negative impact of freshwater shortage on the inhabitants and food production in the Andean region.<\/jats:p>","DOI":"10.3390\/rs14091974","type":"journal-article","created":{"date-parts":[[2022,4,21]],"date-time":"2022-04-21T03:46:11Z","timestamp":1650512771000},"page":"1974","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Mapping Three Decades of Changes in the Tropical Andean Glaciers Using Landsat Data Processed in the Earth Engine"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6691-9867","authenticated-orcid":false,"given":"Efrain Yury","family":"Turpo Cayo","sequence":"first","affiliation":[{"name":"Instituto del Bien Com\u00fan (IBC), Lima 15072, Peru"},{"name":"Programa de Doctorado en Recursos H\u00eddricos (PDRH), Universidad Nacional Agraria La Molina, Lima 15024, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8029-6742","authenticated-orcid":false,"given":"Maria Olga","family":"Borja","sequence":"additional","affiliation":[{"name":"Fundaci\u00f3n EcoCiencia, Quito 170517, Ecuador"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1355-9060","authenticated-orcid":false,"given":"Raul","family":"Espinoza-Villar","sequence":"additional","affiliation":[{"name":"Programa de Doctorado en Recursos H\u00eddricos (PDRH), Universidad Nacional Agraria La Molina, Lima 15024, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicole","family":"Moreno","sequence":"additional","affiliation":[{"name":"Instituto del Bien Com\u00fan (IBC), Lima 15072, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rodney","family":"Camargo","sequence":"additional","affiliation":[{"name":"Fundaci\u00f3n Amigos de la Naturaleza (FAN), Santa Cruz 2241, Bolivia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6523-3169","authenticated-orcid":false,"given":"Claudia","family":"Almeida","sequence":"additional","affiliation":[{"name":"Programa de Doctorado en Recursos H\u00eddricos (PDRH), Universidad Nacional Agraria La Molina, Lima 15024, Peru"},{"name":"Earth Observation and Geoinformatics Division, National Institute for Space Research, S\u00e3o Jos\u00e9 dos Campos 12227-010, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathrin","family":"Hopfgartner","sequence":"additional","affiliation":[{"name":"Instituto del Bien Com\u00fan (IBC), Lima 15072, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1798-6526","authenticated-orcid":false,"given":"Christian","family":"Yarleque","sequence":"additional","affiliation":[{"name":"Subdirecci\u00f3n de Informaci\u00f3n y An\u00e1lisis (SDIA), Instituto de Investigaci\u00f3n en Glaciares y Ecosistemas de Monta\u00f1a (INAIGEM), Ancash 02001, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0205-6134","authenticated-orcid":false,"suffix":"Jr.","given":"Carlos M.","family":"Souza","sequence":"additional","affiliation":[{"name":"Instituto do Homem e Meio Ambiente da Amaz\u00f4nia (Imazon), Belem 66055-200, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Huh, K., Bara\u00ebr, M., Mark, B., and Ahn, Y. 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