Satellite Earth Observation of Climate Change Effects on Glaciers and Ice Sheets
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 22047
Special Issue Editors
Interests: glaciology; snow and glacier hydrology; cryosphere changes; remote sensing; glacier mass and energy balance; UAV and satellite observations; GPR; laser scanner
Interests: cryospheric GIScience and remote sensing; glaciological image analysis; machine learning and deep learning; Earth observation applications in Arctic, Antarctic, and Himalayas; airborne remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite articles that address satellite observations of the effects of climate change on the glaciers and ice sheets. The accelerating trend of climate warming is causing significant changes in the cryosphere and stimulating faster energy exchange between the atmosphere and glaciers (ice sheets). The observed disparities in meteorological parameters demonstrate regional differences in climate warming and the subsequent response of glaciers. Our ambition is to show these changes taking place in the Earth's cryosphere, as well as processes taking place in the atmosphere that have an impact on glaciers. Our aim is to compile articles showing the latest trends in the use of Earth observation and remote sensing methods for modelling, direct observations and new ideas, in order to understand cryospheric changes. Contributions using new sensors and platforms that consider the integration of datasets or calibration and validation (cal/val) analyses are especially welcome.
Dr. Dariusz Ignatiuk
Dr. Shridhar Jawak
Guest Editors
Manuscript Submission Information
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Keywords
- ice sheet
- ice cap
- glacier
- snow
- remote sensing
- numerical modeling of glaciers
- glacier and ice sheet mass balance
- glacier hydrology and dynamics from remote sensing
- satellite observations
- Earth observation
- glaciological image analysis
- Arctic
- Antarctic
- Himalayas
- Greenland
- image processing
- machine and deep learning applications in glaciology
- google earth engine
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