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

Land cover data of Hindu Kush Himalayan region of Pakistan for 2010. This dataset is created using the LandSat 30 meter spatial resolution satellite image of 2010.

Digital dataset of Land Cover change between 2000 and 2010 of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is derived from the LandSat satellite imagery of 2000 and 2010 to show the change in land cover classes.

Bangladesh is one of the most flood affected country in the world. The frequency, intensity and duration of floods has been increased during last few decades. Due to increased population settlements in floodplains and irregular development damage of infrastructure, crop and property has increased creating severe impact on lives and livelihood. Understanding the severity and identification of extent and types of flood damage is highly important to plan effective response. The aim of this study was to develop appropriate methodology to determine extent of flood and damaged areas in near real time basis to support operational response. We have used Sentinel-1 synthetic aperture radar (SAR) images to generate flood extend data for the year 2017.

The dataset present the drought frquency during the last 30 years in Spring season. The data is based on CHIRPS rainfall data by Climate Hazard Group (CHG).

The dataset is part of phenometrics produced using time series MODIS 13 Q1 data throught Timesat algorithms.

Nepal is one of the most flood affected country in the world. The frequency, intensity and duration of floods has been increased during last few decades. Due to increased population settlements in floodplains and irregular development damage of infrastructure, crop and property has increased creating severe impact on lives and livelihood. Understanding the severity and identification of extent and types of flood damage is highly important to plan effective response. The aim of this study was to develop appropriate methodology to determine extent of flood and damaged areas in near real time basis to support operational response. We have used Sentinel-1 synthetic aperture radar (SAR) images to generate flood extend data for the year 2017.

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

The dataset present the drought frquency during the last 30 years in Autumn season. The data is based on CHIRPS rainfall data by Climate Hazard Group (CHG) .

Vulnerability layer gives information about the climate change vulnerability of forest ecosystems in Chitwan Annapurna Landscape.