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.

Digital point dataset of village locations of Qomolangma Natural Preserve (QNP), Tibet, China.

The Hindu Kush Himalayan region (HKH) is an important biodiversity hotspot with more than 488 protected areas covering 39% of the region's geographical coverage. A majority of the protected areas are small and isolated and are not large enough to address conservation challenges. Only about 20% of the protected areas are transboundary in nature. There is limited data available on habitat suitability for conservation planning and landscape management in the Far Eastern Himalayan Landscape. A study carried out under the Landscape Initiative for Far Eastern Himalayas (HI-LIFE) Initiative at ICIMOD, estimates habitat suitability for the leaf deer in the Far Eastern Himalayas using remote sensing and geographic information system tools, and available secondary information.

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

Digital polygon dataset of School density per District of Afghanistan. This dataset is basic Vector layer derived from Afghanistan Information Management Systems (AIMS), Afghanistan.

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

Digital polygon dataset of International boundaries of countries of Koshi Basin. This dataset is derived from HKH Country boundary database.

Digital point dataset of Schools without Drinking Water access of Afghanistan. This dataset is basic vector layer derived from Afghanistan Information Management Systems (AIMS), Afghanistan.

Land cover change is a critical driver for enhancing the soil erosion risk in Nepal. Losing of the topsoil has a direct and indirect effect on human life and livelihoods. The present study provides an assessment of the decadal land use and land cover (LULC) change and consequent changes in the distribution of soil erosion risk for the year of 1990, 2000 and 2010 for the entire country of Nepal. The study attempted to understand how different land cover types change over the three decades and how it has changed the distribution of soil erosion risks in Nepal that would help in development of soil conservation priority. The land cover maps were produced using Geographic object-based image analysis (GEOBIA) using Landsat images. Soil erosion patterns were assessed using the revised universal soil loss equation (RUSLE) with the land cover as input. The study shows that the forest cover is the most dominant land cover in Nepal that comprises about 62 hundred thousand ha. The estimated annual erosion was 129.30 million tons in 1990 and 110.53 million tons in 2010. The assessment of soil erosion dynamics presented at the national, provincial and district level. District wise analysis revealed that Gulmi, Parbat, Syangja and Tanahu district required priority for soil conservation