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 Gorkha earthquake (M 7.8) on 25 April 2015 and later aftershocks struck South Asia, killing 9,000 and damaging a large region. Supported by a large campaign of responsive satellite data acquisitions over the earthquake disaster zone, our team undertook a satellite image survey of the earthquakes’ induced geohazards in Nepal and China and an assessment of the geomorphic, tectonic, and geologic controls on quake-induced landslides. Timely analysis and communication aided response and recovery and informed decision makers. We mapped 4312 co-seismic and post-seismic landslides and surveyed 491 glacier lakes for earthquake damage, but found only 9 landslide-impacted lakes and no visible satellite evidence of outbursts. Landslide densities are correlated with slope, peak ground acceleration, surface downdrop, and specific metamorphic lithologies and large plutonic intrusions.

Digital polygon data of Status of Glaciers in Kameng Basin during 2005 ± 3 (2002-2008) years. This dataset is created using Landsat ETM+ imageries of respective years. 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 attribute data were assigned to each glacier using 90m resolution SRTM DEM.

Digital dataset of Agriculture Cover of Central Karakoram National Park(CKNP) area, Pakistan. This dataset is extracted from land cover dataset of 2010 created from 30m resolution LandSat imagery of 2010.

Digital polygon data of Glaciers of Nepal in 1980, 1990, 2000 and 2010. This dataset is created using Landsat MSS,TM and ETM+ imageries of four respective decades. The glacier outlines were 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. Moreover, the glacier outlines for 2000, 1990 and 1980 were derived manually modifying the glacier outlines of 2010 by overlaying separately the images of respective decades.

Digital polygon data of wetland of Kailash Sacred Landscape.

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.

The layer demonstrate both irrigated and rain-fed wheat area cultivation in the country.