Development of adaptive phenology metrics based on MODIS albedo and temperature observations and its global-scale assessment for glacier mass balance monitoring

Monitoring alpine glaciers under varying climate conditions is critical for understanding regional water resources and the impacts of climate change. This study introduces adaptive metrics derived from MODIS land surface temperature and albedo time series observations to improve remote sensing asses...

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Vydané v:International journal of remote sensing Ročník 46; číslo 18; s. 6974 - 6992
Hlavní autori: Xin, Chen, Sheng, Yongwei
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Taylor & Francis 17.09.2025
Taylor & Francis Ltd
Predmet:
Albedo
Annual variations
Climate change
Climatic analysis
Climatic conditions
Correlation
Energy balance
Environmental impact
Glacial drift
Glacier mass balance
glacier monitoring
Glacier tongues
Glaciers
Global warming
Land surface temperature
Mass balance
Mass balance of glaciers
MODIS
Monitoring
Mountain glaciers
Phenology
phenology metrics
Remote sensing
Seasonal variations
Seasonality
Shadows
Surface energy
Surface energy balance
Surface temperature
Time series
Water resources
ISSN:0143-1161, 1366-5901
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Shrnutí:Monitoring alpine glaciers under varying climate conditions is critical for understanding regional water resources and the impacts of climate change. This study introduces adaptive metrics derived from MODIS land surface temperature and albedo time series observations to improve remote sensing assessments of glacier mass balance across diverse climates. Using the Temperature-Albedo Ratio (TAR), we developed the cumulative melting index and annual peak index, both of which demonstrated strong correlations with annual mass balance in seasonally distinct climates. Analysing 109 global alpine glaciers with long-term mass balance records, we observed high correlations for glaciers in high and mid latitudes, while tropical and monsoon-affected glaciers showed lower correlation due to a lack of clear seasonality in TAR time series. This study also identifies key observational challenges, including the effects of terrain shadows and lack of representative pixels for small glaciers with narrow, debris-covered tongues. While most glaciers showed strong mass balance-phenology correlations, these relationships often exhibited glacier-specific characteristics. Understanding the implications of this variability is critical for identifying glaciers that are most vulnerable to global warming. Overall, this study provides a framework for improving glacier monitoring through adaptive phenology metrics, contributing to a deeper understanding of glacier surface energy balance changes and their responses to climate change.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0143-1161
1366-5901
DOI:10.1080/01431161.2025.2549537