Cryosphere Initiative

The Cryosphere team at the International Centre for Integrated Mountain Development (ICIMOD) collaborates with its partners to study the importance of snow, ice, and permafrost for downstream communities in the Hindu Kush Himalaya (HKH). With our partners we have established a Cryosphere Monitoring Programme (CMP) to assess cryosphere water resources, cryosphere-related disaster risks, and scenarios of future water availability, sharing data and knowledge through the CryoHubHKH. We build the capacities of partners to monitor the cryosphere and develop practical solutions and policies to manage water resources and risk.

Objectives

  • To improve knowledge and understanding of the HKH cryosphere and the impacts of climate change on water resources and hazards, and 
  • To build regional capacity for cryospheric monitoring in the region.


Publications

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Updates

Datasets

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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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 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 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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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

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