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.

Open space is mapped on Google Earth at 1:1500 scale.

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.

Land cover and its change analysis across the Hindu Kush Himalayan (HKH) region is realized as an urgent need to support diverse issues of environmental conservation. This study presents the first and most complete national land cover database of Nepal prepared using public domain Landsat TM data of 2000 and replicable methodology. The study estimated that 41.64% of Nepal is covered by forests and 27.77% by agriculture. Physiographic regions wise forest fragmentation analysis revealed specific conservation requirements for productive hill and mid mountain regions. Comparative analysis with Landsat TM based global land cover product showed difference of the order of 30-60% among different land cover classes stressing the need for significant improvements for national level adoption. The online web based land cover validation tool is developed for continual improvement of land cover product. The potential use of the data set for national and regional level sustainable land use planning strategies and meeting several global commitments also highlighted.

Land cover data of Greater Chittagong, Bangladesh for 2010. This dataset is created using the LandSat 30 meter spatial resolution satellite image of 2000.

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

Flood hazard layer for different return period.

Inundation layer for different return period.

Flood risk layer for different return period.

Inundation layer for incremental discharge.