The glacial lakes of Afghanistan were mapped using Landsat image that were selected based in a one-year buffer surrounding a representative year. For instance, the Landsat images from 1989 to 1991 were used to represent 1990 depending on the quality of images (least snow cover and cloud cover). The glacial lakes were extracted semi-automatically through an object-based image classification (OBIC) method and were then subjected to manual editing for quality control. The attributes of the data were extracted from the SRTM DEM. This dataset was produced in collaboration between the National Water Affairs Regulation Authority (NWARA) of the Government of Afghanistan and ICIMOD as part of the SERVIR-HKH Initiative.

The glacial lakes of Afghanistan were mapped using Landsat image that were selected based in a one-year buffer surrounding a representative year. For instance, the Landsat images from 2014 to 2016 were used to represent 2015 depending on the quality of images (least snow cover and cloud cover). The glacial lakes were extracted semi-automatically through an object-based image classification (OBIC) method and were then subjected to manual editing for quality control. The attributes of the data were extracted from the SRTM DEM. This dataset was produced in collaboration between the National Water Affairs Regulation Authority (NWARA) of the Government of Afghanistan and ICIMOD as part of the SERVIR-HKH Initiative.

The glacial lakes of Afghanistan were mapped using Landsat image that were selected based in a one-year buffer surrounding a representative year. For instance, the Landsat images from 2009 to 2011 were used to represent 2010 depending on the quality of images (least snow cover and cloud cover). The glacial lakes were extracted semi-automatically through an object-based image classification (OBIC) method and were then subjected to manual editing for quality control. The attributes of the data were extracted from the SRTM DEM. This dataset was produced in collaboration between the National Water Affairs Regulation Authority (NWARA) of the Government of Afghanistan and ICIMOD as part of the SERVIR-HKH Initiative.

The glacial lakes of Afghanistan were mapped using Landsat image that were selected based in a one-year buffer surrounding a representative year. For instance, the Landsat images from 1999 to 2001 were used to represent 2000 depending on the quality of images (least snow cover and cloud cover). The glacial lakes were extracted semi-automatically through an object-based image classification (OBIC) method and were then subjected to manual editing for quality control. The attributes of the data were extracted from the SRTM DEM. This dataset was produced in collaboration between the National Water Affairs Regulation Authority (NWARA) of the Government of Afghanistan and ICIMOD as part of the SERVIR-HKH Initiative.

Digital polygon data of Status of Glaciers in Kabul Basin during 2005 ± 3 (2002-2008) years. This dataset is created using Landsat ETM+ imageries of respective years. 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. The attribute data were assigned to each glacier using 90m resolution SRTM DEM.

Digital polygon data of Status of Glaciers in Upper Indus Basin during 2005 ± 3 (2002-2008) years. This dataset is created using Landsat ETM+ imageries of respective years. 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. The attribute data were assigned to each glacier using 90m resolution SRTM DEM.

Glacier data of Afghanistan were prepared on the basis of Landsat imageries from 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 attributes of glacier data were derived from SRTM DEM. This dataset was jointly prepared by the Ministry of Energy and Water (MEW), Government of Afghanistan, and ICIMOD under the SERVIR-HKH Initiative.

RCM Climate data for different scenario (reference period, future projection), RCP 4.5 and RCP 8.5. These following models are included in data;GISS-E2-R-r4i1p1, IPSL-CM5A-LR-r4i1p1,IPSL-CM5A-LR-r3i1p1, CanESM2-r4i1p1, GFDL-ESM2G-r1i1p1, IPSL-CM5A-LR-r4i1p1, CSIRO-Mk3-6-0-r3i1p1, CanESM2-r4i1p1 are used for simulating the global climate change between 1998- 2050.

Glacier data of Afghanistan were prepared on the basis of Landsat imageries from 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 attributes of glacier data were derived from SRTM DEM. This dataset was jointly prepared by the Ministry of Energy and Water (MEW), Government of Afghanistan, and ICIMOD under the SERVIR-HKH Initiative.

Digital polygon data of Status of Glaciers in Hindu Kush Himalayan (HKH) Region during 2005 ± 3 (2002-2008) years. This dataset is created using Landsat ETM+ imageries of respective years. 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. The attribute data were assigned to each glacier using 90m resolution SRTM DEM. Source: ICIMOD and CAREERI (data for the Chinese part of the HKH region is a product of a national project of the Ministry of Science and Technology of China (Grant no. 2006FY110200))