Cryosphere Monitoring

The cryosphere is water on the earth’s surface and subsurface in its frozen state, including glaciers, snow cover, and permafrost. It’s an integral part of the global climate system. The Himalayas make up the largest cryosphere region outside the poles and are highly sensitive to climate change, but the lack of long-term data for this region undermines efforts to develop policies and programs to promote the rational and sustainable use of these water resources.

ICIMOD is involved in assessments of the Himalayan cryosphere, working to devise ways and means to bridge the information gap. The Geospatial Solution Team works with the ICIMOD Cryosphere Programme to leverage Earth Observation GIS capacities to monitor the state of the cryosphere across the HKH region, including mapping of snow cover, and snow water equivalents, and monitoring temporal changes in glaciated area and water volume.


Publications

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Datasets

Glacier data of Afghanistan was prepared based on Landsat imageries of 2015. The glacier outlines were derived semi-automatically using object-based image classification (OBIC ) separately for clean-ice and debris-covered glaciers and further manual editing for quality assurance. The attribute of glacier data were derived from SRTM DEM. This data was jointly prepared by the Ministry of Energy and Water (MEW), Afghanistan and Cryosphere team of ICIMOD with the support of SERVIR HKH.


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Glacier data of Afghanistan was prepared based on Landsat imageries of 2010. The glacier outlines were derived semi-automatically using object-based image classification (OBIC ) separately for clean-ice and debris-covered glaciers and further manual editing for quality assurance. The attribute of glacier data were derived from SRTM DEM. This data was jointly prepared by the Ministry of Energy and Water (MEW), Afghanistan and Cryosphere team of ICIMOD with the support of SERVIR HKH.


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Glacier data of Afghanistan was prepared based on Landsat imageries of 2000. The glacier outlines were derived semi-automatically using object-based image classification (OBIC ) separately for clean-ice and debris-covered glaciers and further manual editing for quality assurance. The attribute of glacier data were derived from SRTM DEM. This data was jointly prepared by the Ministry of Energy and Water (MEW), Afghanistan and Cryosphere team of ICIMOD with the support of SERVIR HKH.


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Glacier data of Afghanistan was prepared based on Landsat imageries of 1990. The glacier outlines were derived semi-automatically using object-based image classification (OBIC ) separately for clean-ice and debris-covered glaciers and further manual editing for quality assurance. The attribute of glacier data were derived from SRTM DEM. This data was jointly prepared by the Ministry of Energy and Water (MEW), Afghanistan and Cryosphere team of ICIMOD with the support of SERVIR HKH.


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Digital polygon data of Glaciers of Bhutan in 1990. This dataset is created using Landsat MSS, imageries of 1990. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Nepal in 2000. This dataset is created using Landsat MSS, TM imageries of 2000. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Bhutan in 2010. This dataset is created using Landsat TM and ETM+, imageries of 2010. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Nepal in 2010. This dataset is created using Landsat TM, ETM+ imageries of 2010. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Nepal in 1980. This dataset is created using Landsat MSS, imageries of 1980. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


View Metadata

Digital polygon data of Glaciers of Bhutan in 2000. This dataset is created using Landsat TM and ETM+, imageries of 2000. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


View Metadata

Science applications