Digital dataset of Land cover of 2000 Sagarmatha National Park, Nepal. This dataset is created using LandSat ETM+ satellite image of 2000 October 30.

Large landslide dams are one of the most disastrous natural phenomena in mountainous regions all over the world Such dams are formed most commonly in tectonically active settings where high mountains border narrow and steep valleys and earthquakes occur frequently. Landslide dams are very diverse in terms of their formation, geotechnical characteristics, longevity, stability, and flood hazard. The two major causes of landslide dam formation are precipitation and earthquake. About 50% of dam-forming landslides are brought about by rainstorms and snowmelts, 40% by earthquakes, and 10% by other factors Geometry of valley in relation to geometry and volume of debris and discharge of damming river are some of the factors which are responsible for the development of landslide dams. Schuster et al. (1998) mentioned four groups of governing factors responsible for the spatial distribution of landslide dams. They are i) seismic intensity, ii) slope gradient and topography, iii) lithology and weathering properties, and iv) soil moisture and groundwater content. Landslide dams are generated by various types of mass movements, which range from rock falls and rockslides in steep walled, narrow canyons to earth slumps in flat river lowlands. Managing landslide-dam hazards requires an understanding of the temporal and spatial scales on which such phenomena occur. Many previous works on landslide dams have been mainly descriptive in character, and have produced a multitude of documented case studies and inventories (e.g. Costa and Schuster, 1988; Costa and Schuster, 1991). More recent work is focused on quantitative methods of determining the post-formation development, in particular, the controls on dam longevity.

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 2010 and 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 Religious site of Central Karakoram National Park(CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008.

This Layer shows five major water basins (Norther Basin, Hari Rod-Lower, South Eastern Basin, Northern Basin, Helmand Basin and Nondranage areas in Southern part of Afghanistan.

As part of climate change impact monitoring program on biodiversity, Ugyen Wangchuck Institute for Conservation and Environment Research (UWICER) has initiated HEROES program in 2015. 17 schools covering different altitudinal gradient and geographic region were selected as monitoring sites. In each school, weather station was installed that logs weather data such as temperature, precipitation, solar radiation, soil moisture, wind speed and wind direction every 10 minutes. Also, at the same location, the project monitor and records phenological events and its timing such as budburst, flowering and fruiting on an yearly basis. This dataset consists of daily and monthly temperature and precipitation data for 2015-2020 period derived from weather station data collected at 10 minute interval at Tendruk School in Samtse, Bhutan.

The Above Ground Biomass(AGB) data obtained from the model was converted into carbon stock by applying a conversion factor of 0.47, as suggested by IPCC.

This layer gives information about the impacts of decadal summer season albedo on forest ecosystems in Chitwan Annapurna Landscape.

Deforestation layer gives information about the dependence of local communities for deforestation on forest ecosystems in Chitwan Annapurna Landscape.

Points representing individual houses as an exposure elements while doing flood risk analysis.