Informatics Publishing Limited

Manu Mehta ¹, Prakash Chauhan ¹, Praveen Thakur ¹, Taibanganba Watham ¹, Ritika Srinet ¹

Affiliations
1 Indian Institute of Remote Sensing, ISRO, 4-Kalidas Road, Dehradun 248 001, IN

Abstract

No Abstract.

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S. K. Singh ¹, Praveen Thakur ², Naveen Tripathi ¹, Purvee Joshi ¹, Vaibhav Garg ², Amit Dubey ¹, Satyesh Ghetiya ¹, Madhukar Srigyan ¹, Jay Das ³, P. Jayaprasad ¹, Aparna Shukla ⁴, Sandip R. Oza ¹

Affiliations
1 Space Applications Centre, Indian Space Research Organisation (ISRO), Ahmedabad 380 015, IN
2 Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
3 Gujarat University, Ahmedabad 380 009, IN
4 Ministry of Earth Sciences, New Delhi 110 003, IN

Abstract

Present study focuses on the utilization of Earth observation satellite-04 (EOS-04) synthetic aperture radar (SAR) data for maintaining the continuity of the first Indian radar imaging satellite (RISAT)-1 SAR derived products along with exploring the potential of capability of the improved sensor over mountain and polar cryospheric region. Backscattering coefficient (s 0) of various snow and ice features over mountain and polar cryo­sphere have been analysed to understand the interaction mechanism using C-band SAR data. EOS-04 is able to pick up the spatio-temporal variability of SAR backscatters over accumulation and ablation zone of the glacier due to melt-freeze cycles, and observations were in accordance with variation in elevations over the glacier surface. When analysed for Drang-Drung glacier, wet snow zone was found to be prominently centered around 5500 m elevation zone, having sigma-naught backscatter lower than –10 dB in the ablation months, whereas percolation zone was observed at more than 6000 m elevation with higher sigma-naught backscatter of around –4 dB and above as winter started setting in. EOS-04 also showed the potential to classify various polar ice features based on backscattering signature using HH (H, horizontal) (s 0), HV (V, vertical) (s 0) and normalized difference polarization ratio index (NDPRI) respectively. EOS-04 data have been used to implement approaches to retrieve wet snow cover and set up of Weather Research and Forecasting Model Hydrological Modelling System (WRF hydro) model for snow melt runoff studies, interaction mechanism of snow and ice, snow/ice facies extraction, ice shelf monitoring, sea ice properties and sea ice advisory for Indian scientific expedition to Antarctica. Enrichment of EOS-04 data, suitable for cryosphere studies, will be employed to retrieve parameters such as snowpack properties, elevation, ice surface velocities over mountain and polar region, and to further improve comprehensive understanding on regional and global frozen ice dynamics.

Keywords

EOS-04, Himalayan cryosphere, polar cryosphere, RISAT-1A, synthetic aperture radar.

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