Indus Basin Initiative

The Indus Basin stretches over 1.1 million sq.km and is shared by Afghanistan, China, India, and Pakistan, with the upper portion resting in the Hindu Kush, Karakorum, and Himalayan ranges. The main river originates at Lake Ngangla Rinco on the Tibetan Plateau in China and includes the flow of tributaries Ravi, Beas, Sutlej, Swat, Chitral, Gilgit, Hunza, Shigar, Shyok, Indus, Shingo, Astor, Jhelum, Chenab, and Kabul draining parts of Afghanistan, China, India, and Pakistan. The basin ranks among the most important in the world in terms of human dependence, supporting about 215 million people, directly or indirectly. The basin is the predominant provider of water for agriculture, energy production, industrial use, and human consumption for the people living in the basin. Although already water scarce, the demand for water is growing rapidly; this problem is likely to be exacerbated by climate change. While there are more economic activities in the lower part of the basin, climate is likely to be the key driver of change in the upper part above the timberline, impacting both upstream and downstream. 

Goal

To improve our understanding of the impact of climate change and associated changes in the cryospheric and cryo-hydrologic regime to support development of better strategies for adaptation by research institutions, governments, and civil society organizations and, thereby, support strategic thinking and interventions leading to enhanced community resilience in the Indus Basin.

Stories

Building Resilience to climate change

News

Datasets

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))


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The dataset is part of phenometrics produced using time series MODIS 13 Q1 data throught Timesat algorithms.


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The dataset is part of phenometrics produced using time series MODIS 13 Q1 data throught Timesat algorithms.


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A broad set of climate-related variables were considered for inclusion in a quantitative model, which partitions geographic space into bioclimate regions.


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Poverty and Vulnerability Assessment (PVA) is a district level household survey to understand vulnerability of households to environmental and socioeconomic changes with focus on mountain specificity as well as their coping strategies and adaptive capacity. Under the Adaptation to Change program, the Himalaya Climate Change Adaptation Programme (HICAP) initiative have conducted the survey among 1139 households across 3 Union Councils in Khyber-Pakhtunkhwa and Gilgit-Baltistan provinces in the Upper Indus sub-basin in Pakistan. The households were selected following a probability based multi-stage cluster sampling approach.


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Digital polygon data of Status of Glaciers in Panjnad 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.


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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.


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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.


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Digital polygon data of Status of Glaciers in 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.


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Science applications

The mountain climates of the Indus Basin are influenced by the broad global circulation patterns associated with latitude, position in the continental mass, and proximity to oceans.
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The Indus Basin supports a population of about 215 million people, whose livelihoods are directly or indirectly dependent on it.

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Publications

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