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.

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 2013 and 2014 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.

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 Swath, Pakistan between 2013 and 2014 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.

The dataset present the crop sown area for wheat crop during 2010 - 2015.

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 2013 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.

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.

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 Bandarban, Bangladesh for 2013 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.

At the watershed level, land cover data was prepared using object image classification technique. GeoEye-1 images captured 15 December, 2012 was used.

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.

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.