SIGNIFICANCE OF REMOTE SENSING BASED PRECIPITATION AND TERRAIN INFORMATION FOR IMPROVED HYDROLOGICAL AND HYDRODYNAMIC SIMULATION IN PARTS OF HIMALAYAN RIVER BASINS
- 1Indian Institute of Remote Sensing, ISRO, 248001, 4-Kalidas Road, Dehradun, Uttarakhand, India
- 2Centre for Space Science and Technology Education in Asia and Pacific, CSSTEAP, IIRS Campus, 248001, 4-Kalidas Road, Dehradun, Uttarakhand, India
- 3National Institute of Technology, NIT, Hamirpur, Himachal Pradesh 177005, India
- 4Indian Space Research Organization, ISRO, HQ, Antariksh Bhavan, New BEL Road Bangalore 560 231, India
- 5Indian Institute of Technology, Bombay, IITB, Powai, Mumbai, Maharashtra, India
Keywords: Precipitation, Terrain, Remote sensing, North West Himalaya, Hydrological and Hydrodynamic models
Abstract. The Himalayan region are home to the world’s youngest and largest mountains, and origins of major rivers systems of South Asia. The present work highlight the importance of remote sensing (RS) data based precipitation and terrain products such as digital elevation models, glacier lakes, drainage morphology along with limited ground data for improving the accuracy of hydrological and hydrodynamic (HD) models in various Himalayan river basins such as Upper Ganga, Beas, Sutlej, Teesta, Koshi etc. The satellite based rainfall have mostly shown under prediction in the study area and few places have are also showing over estimation of rainfall. Hydrological modeling results were most accurate for Beas basin, followed by Upper Ganga basin and were least matching for Sutlej basin. Limited ground truth using GNSS measurements showed that digital elevation model (DEM) for carto version 3.1 is most accurate, followed by ALOS-PALSAR 12.5 DEM as compared to other open source DEMs. Major erosion and deposition was found in Rivers Bhagirathi, Alakhnanda, Gori Ganga and Yamuna in Uttarakhand state and Beas and Sutlej Rivers in Himachal Pradesh using pre and post flood DEM datasets. The terrain data and river cross section data showed that river cross sections and water carrying capacity before and after 2013 floods have changed drastically in many river stretches of upper Ganga and parts of Sutlej river basins. The spatio-temporal variation and evolution of glacier lakes was for lakes along with GLOF modeling few lakes of Upper Chenab, Upper Ganga, Upper Teesta and Koshi river basin was done using time series of RS data from Landsat, Sentinel-1 and Google earth images.