Digital polygon data of Glaciers of Bhutan 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.

The layer demonstrate both irrigated and rain-fed wheat area cultivation in the country.

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.

The past few decades have seen high levels of deforestation and forest degradation in the Hindu Kush Himalayan (HKH) region. In this context, under SERVIR Himalaya programme, ICIMOD has developed forest cover monitoring system to identify forest change hotspot areas which need critical forest management attention in four pilot areas. This forest loss data of Sarlahi, Nepal between 2010 and 2013 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.

Adaptive capacity layer gives information about the climate change adaptive capacity of forest ecosystems in Chitwan Annapurna Landscape

The rivers layer shows the shows the location, Length and direction of all rivers across the country.

This layer gives information about the impacts of decadal winter season gross primary product on forest ecosystems in Chitwan Annapurna Landscape.

This layer gives information about the impacts of tree density on forest ecosystems in Chitwan Annapurna Landscape.

Digital polygon data of Glaciers of Nepal in 1980, 1990, 2000 and 2010. This dataset is created using Landsat MSS,TM and ETM+ imageries of four respective decades. The glacier outlines were 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. Moreover, the glacier outlines for 2000, 1990 and 1980 were derived manually modifying the glacier outlines of 2010 by overlaying separately the images of respective decades.

Management Capacity Index (MCI): refers to the socio-economic attributes; in the absence of which; responsible for the water vulnerability. The variables such as literacy rate, population without sanitation, access to electricity, drinking water coverage, type of houses, women headed households, incidence of poverty etc are taken into account to calculate the MCI.