The Evolution of the Two Largest Tropical Ice Masses since the 1980s ...
As tropical glaciers continue to retreat, we need accurate knowledge about where they are located, how large they are, and their retreat rates. Remote sensing data are invaluable for tracking these hard-to-reach glaciers. However, remotely identifying tropical glaciers is prone to misclassification...
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University of Illinois at Chicago
2023
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ftdatacite:10.25417/uic.23146103.v1 2023-07-23T04:19:45+02:00 The Evolution of the Two Largest Tropical Ice Masses since the 1980s ... Malone, Andrew Broglie, Eleanor T Wrightsman, Mary 2023 https://dx.doi.org/10.25417/uic.23146103.v1 https://indigo.uic.edu/articles/journal_contribution/The_Evolution_of_the_Two_Largest_Tropical_Ice_Masses_since_the_1980s/23146103/1 unknown University of Illinois at Chicago https://dx.doi.org/10.25417/uic.23146103 https://dx.doi.org/10.3390/geosciences12100365 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Geology FOS Earth and related environmental sciences Geophysics Earth sciences Physical geography and environmental geoscience Environmental engineering FOS Environmental engineering Geomatic engineering Text article-journal ScholarlyArticle Journal contribution 2023 ftdatacite https://doi.org/10.25417/uic.23146103.v110.25417/uic.2314610310.3390/geosciences12100365 2023-07-03T16:44:11Z As tropical glaciers continue to retreat, we need accurate knowledge about where they are located, how large they are, and their retreat rates. Remote sensing data are invaluable for tracking these hard-to-reach glaciers. However, remotely identifying tropical glaciers is prone to misclassification errors due to ephemeral snow cover. We reevaluate the size and retreat rates of the two largest tropical ice masses, the Quelccaya Ice Cap (Peru) and Nevado Coropuna (Peru), using remote sensing data from the Landsat missions. To quantify their glacial extents more accurately, we expand the time window for our analysis beyond the dry season (austral winter), processing in total 529 Landsat scenes. We find that Landsat scenes from October, November, and December, which are after the dry season, better capture the glacial extent since ephemeral snow cover is minimized. We compare our findings to past studies of tropical glaciers, which have mainly analyzed scenes from the dry season. Our reevaluation finds that both ... Text Ice cap DataCite Metadata Store (German National Library of Science and Technology) Austral |
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DataCite Metadata Store (German National Library of Science and Technology) |
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topic |
Geology FOS Earth and related environmental sciences Geophysics Earth sciences Physical geography and environmental geoscience Environmental engineering FOS Environmental engineering Geomatic engineering |
spellingShingle |
Geology FOS Earth and related environmental sciences Geophysics Earth sciences Physical geography and environmental geoscience Environmental engineering FOS Environmental engineering Geomatic engineering Malone, Andrew Broglie, Eleanor T Wrightsman, Mary The Evolution of the Two Largest Tropical Ice Masses since the 1980s ... |
topic_facet |
Geology FOS Earth and related environmental sciences Geophysics Earth sciences Physical geography and environmental geoscience Environmental engineering FOS Environmental engineering Geomatic engineering |
description |
As tropical glaciers continue to retreat, we need accurate knowledge about where they are located, how large they are, and their retreat rates. Remote sensing data are invaluable for tracking these hard-to-reach glaciers. However, remotely identifying tropical glaciers is prone to misclassification errors due to ephemeral snow cover. We reevaluate the size and retreat rates of the two largest tropical ice masses, the Quelccaya Ice Cap (Peru) and Nevado Coropuna (Peru), using remote sensing data from the Landsat missions. To quantify their glacial extents more accurately, we expand the time window for our analysis beyond the dry season (austral winter), processing in total 529 Landsat scenes. We find that Landsat scenes from October, November, and December, which are after the dry season, better capture the glacial extent since ephemeral snow cover is minimized. We compare our findings to past studies of tropical glaciers, which have mainly analyzed scenes from the dry season. Our reevaluation finds that both ... |
format |
Text |
author |
Malone, Andrew Broglie, Eleanor T Wrightsman, Mary |
author_facet |
Malone, Andrew Broglie, Eleanor T Wrightsman, Mary |
author_sort |
Malone, Andrew |
title |
The Evolution of the Two Largest Tropical Ice Masses since the 1980s ... |
title_short |
The Evolution of the Two Largest Tropical Ice Masses since the 1980s ... |
title_full |
The Evolution of the Two Largest Tropical Ice Masses since the 1980s ... |
title_fullStr |
The Evolution of the Two Largest Tropical Ice Masses since the 1980s ... |
title_full_unstemmed |
The Evolution of the Two Largest Tropical Ice Masses since the 1980s ... |
title_sort |
evolution of the two largest tropical ice masses since the 1980s ... |
publisher |
University of Illinois at Chicago |
publishDate |
2023 |
url |
https://dx.doi.org/10.25417/uic.23146103.v1 https://indigo.uic.edu/articles/journal_contribution/The_Evolution_of_the_Two_Largest_Tropical_Ice_Masses_since_the_1980s/23146103/1 |
geographic |
Austral |
geographic_facet |
Austral |
genre |
Ice cap |
genre_facet |
Ice cap |
op_relation |
https://dx.doi.org/10.25417/uic.23146103 https://dx.doi.org/10.3390/geosciences12100365 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.25417/uic.23146103.v110.25417/uic.2314610310.3390/geosciences12100365 |
_version_ |
1772183138462597120 |