The dataset compiles the grazing routes in the key grazing areas during spring, summer and autumn.

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.

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.

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.

Flood hazard layer for different return period.

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 cover data of Sarlahi, Nepal for 2014 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.

At the watershed level, crown projection area (CPA) vs. basal area (BA) model was developed and validated. At the watershed level, for CPA delineation, region growing technique was adopted. GeoEye-1 images captured on 15 December, 2012 was used.

In the watershed level, existing lease hold forest boundary delineated to know the exact area under the lease hold forest. GeoEye-2009 image used for this pupose in the Kayerkhola watershed

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.

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 cover data of Paro, Bhutan for 2014 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.