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Snow Cover Trends in the Chilean Andes Derived from 39 Years of Landsat Data and a Projection for the Year 2050

Dietz, Andreas and Köhler, Jonas and Obrecht, Laura and Rößler, Sebastian and Baumhoer, Celia and Cereceda-Balic, Francisco and Saaverda, Freddy (2025) Snow Cover Trends in the Chilean Andes Derived from 39 Years of Landsat Data and a Projection for the Year 2050. Remote Sensing, 17 (9), pp. 1-17. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs17091651. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/17/9/1651

Abstract

Snow cover is an important freshwater source in many mountain ranges around the world and is heavily affected by climate change, often leading to reduced overall snow cover availability and duration as well as shifts in seasonality. To monitor these changes and long-term trends, the analysis of remote sensing is a commonly used tool, as data are available consistently and for long time series. In this study we acquired and processed the whole archive of available Landsat data between 1985 and 2024 for two catchments in the Chilean Andes, Aconcagua and Río Maipo, located in the Valparaíso and Santiago de Chile metropolitan regions, respectively. We generated monthly Snow Line Elevation (SLE) time series from the entire archive for both catchments and performed trend analyses on these time series. Strong positive long-term SLE change rates of 11.25 m per year for the Aconcagua catchment and 9.85 m to 15.65 m per year for the Río Maipo catchment were detected, indicating a decrease in snow cover as well as available freshwater from snowmelt. The projection to the year 2050 revealed a potential loss of snow covered area of up to 42% during summer months, with the SLE receding up to 231 m.

Item URL in elib:https://elib.dlr.de/214031/
Document Type:Article
Title:Snow Cover Trends in the Chilean Andes Derived from 39 Years of Landsat Data and a Projection for the Year 2050
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dietz, AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-5733-7136184308640
Köhler, JonasUNSPECIFIEDhttps://orcid.org/0000-0001-6086-2364184308641
Obrecht, LauraUniversity of WürzburgUNSPECIFIEDUNSPECIFIED
Rößler, SebastianUNSPECIFIEDhttps://orcid.org/0000-0001-5462-2495184308642
Baumhoer, CeliaUNSPECIFIEDhttps://orcid.org/0000-0003-1339-2288UNSPECIFIED
Cereceda-Balic, FranciscoCentre for Environmental Technologies (CETAM) and Department of Chemistry, Universidad Técnica Federico Santa María, Valparaiso 2340000, ChileUNSPECIFIEDUNSPECIFIED
Saaverda, FreddyLaboratorio de Teledetección Ambiental (TeleAmb), HUB Ambiental, Geography, Universidad de Playa Ancha, Valparaiso 2340000, ChileUNSPECIFIEDUNSPECIFIED
Date:7 May 2025
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:17
DOI:10.3390/rs17091651
Page Range:pp. 1-17
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:Snow Line Elevation; hydrology; Andes Mountains; Landsat; mountain ecosystems; snow; climate change; time series; water shortage; Aconcagua; Río Maipo
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Dietz, Dr. Andreas
Deposited On:19 May 2025 09:31
Last Modified:19 May 2025 09:31

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