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Monitoring glacier elevation and volume changes with digital photogrammetry and GIS at Gepatschferner glacier, Austria

International Journal of Remote Sensing, 2006
Digital elevation models of Gepatschferner in Northern Tyrol, Austria were obtained with digital photogrammetry from high altitude stereo photo pairs and by digitizing an analogue topographic glacier map, for 1990 and 1971, respectively. A difference map was calculated to identify regions of glacier elevation increases and decreases corresponding to ...
A. Keutterling, A. Thomas
openaire   +1 more source

Quantification of glacier volume change using topographic and ASTER DEMs

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Satellite imagery has been largely used to measure glacier surface evolution by detecting surface change between two images taken at different dates. But until now it seemed difficult to evaluate glacier volume changes from space. In this study, volume changes of three small glaciers in the Cordillera Blanca (northern Peru) between 1962 and 2001 are ...
F. Vignon, Yves Arnaud, G. Kaser
openaire   +2 more sources

A review of volume-area scaling method for glacier volume estimation

AIP Conference Proceedings, 2023
Shivang Alok   +3 more
openaire   +1 more source

Volume Change of the Tasman Glacier Using Remote Sensing

2008
Mountain glaciers are expected to be the greatest contributor to sea level rise over the next century. Glaciers provide a good indicator of global climate and how to monitor their change is an increasingly important issue for climate science and for sea level rise forecasts.
openaire   +2 more sources

GLACIER AREA AND VOLUME CHANGE IN GLACIER NATIONAL PARK

Geological Society of America Abstracts with Programs, 2017
Melissa Brett   +4 more
openaire   +1 more source

A global machine learning system for glacier ice volumes

Knowledge of glacier ice volumes is crucial for constraining future sea level potential, evaluating freshwater resources, and assessing impacts on societies, from regional to global. Motivated by the disparity in existing ice volume estimates, we developed a global machine learning framework to model the ice thickness of individual glaciers.
Niccolò Maffezzoli   +4 more
openaire   +1 more source

Comprehensive estimation of lake volume changes on the Tibetan Plateau during 1976–2019 and basin-wide glacier contribution

Science of the Total Environment, 2021
Jean-François Crétaux   +2 more
exaly  

Volume Estimation of Glaciers in Alaknanda Sub-basin

Journal of the Indian Society of Remote Sensing
Shivang Alok   +4 more
openaire   +1 more source

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