Digital polygon dataset of Cultivated land of Afghanistan. This dataset is created using 1:1,000,000 scale map of Afghanistan and 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 Paro, Bhutan 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 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.

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

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.

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

This dataset shows the land cover of the Kangchenjunga Landscape in the year 2010.