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Ram Rajak, D.
- Assessment of Cryospheric Parameters Over the Himalaya and Antarctic Regions using SCATSAT-1 Enhanced Resolution Data
Abstract Views :245 |
PDF Views:78
Authors
Sandip R. Oza
1,
Rajashree V. Bothale
2,
D. Ram Rajak
1,
P. Jayaprasad
1,
Saroj Maity
1,
Praveen K. Thakur
3,
Naveen Tripathi
1,
Arpit Chouksey
3,
I. M. Bahuguna
1
Affiliations
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
2 National Remote Sensing Centre, ISRO, Hyderabad 500 037, IN
3 Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
2 National Remote Sensing Centre, ISRO, Hyderabad 500 037, IN
3 Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
Source
Current Science, Vol 117, No 6 (2019), Pagination: 1002-1013Abstract
Antarctica is the focus of scientific studies considering the largest reservoir of terrestrial water in the form of ice and doubling of ice area during winter due to sea-ice growth. The third pole – Himalaya is equally important due to the large extent of snow and ice cover outside the polar regions, which is a major source of water for the Asian countries. At present, the Ku-band scatterometer observing global cryosphere is the SCATSAT-1 launched by India. This article describes the study carried out on different cryospheric parameters using high-resolution (~2.2 km) scatterometer data in the Antarctica and Himalaya. Impact of seasonal variations in snow/ice and ice calving on the backscatter over Antarctica is discussed in detail. A procedure developed for the estimation of sea-ice extent, which yielded overall accuracy of 89%, has been presented and successfully applied for daily monitoring of the Antarctic ice extent for 2017. Surface melting using backscatter and brightness temperature data has been discussed and the contrast between large-sized and small-sized Antarctic ice shelves during the austral summer period of summer 2017–18 is highlighted. The higher average surface melt observed around majority of east Antarctic ice shelves, particularly near the Indian station ‘Maitri’, is of particular interest. Typical surface melting patterns observed over the third largest Antarctic ice shelf, Amery, are discussed in detail. Over northwest Himalaya, derived changes in snow water equivalent (ΔSWE) shows a good correlation between observed and calculated SWE variations. The present study demonstrates that simultaneous availability of high-resolution brightness temperature and backscatter data from SCATSAT-1 provides a unique opportunity to study the polar and mountain cryosphere.Keywords
Calving, Scatterometer, Sea-ice, Snow Water Equivalent, Surface Melt.References
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- Quantification of Shoreline Changes along the Entire Indian Coast Using Indian Remote Sensing Satellite Images of 2004–06 and 2014–16
Abstract Views :109 |
PDF Views:65
Authors
Affiliations
1 Geo Sciences Division, GHCAG, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
1 Geo Sciences Division, GHCAG, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
Source
Current Science, Vol 124, No 5 (2023), Pagination: 578-584Abstract
The coastal region of India is highly vulnerable to various threats, including coastal erosion, due to natural processes enhanced by anthropogenic influences. Shoreline change inventories are the pre-requisite for identifying the coastal stretches subjected to erosion. In this study, the shoreline of the entire Indian coast was delineated at a scale of 1 : 25,000 using IRS LISS-IV images of 2004–06 and 2014–16 time frames. The spatial shift between the shoreline of two time frames was estimated in the GIS platform and a database of shoreline changes was prepared. The eroding, accreting and stable length of the shoreline were calculated for the Indian coast along with the area of erosion and accretion. This study discusses the imperative results of shoreline mapping and the status of shoreline changes on the Indian coast. The shoreline changes in terms of erosion and accretion were assessed for 7549 km of the Indian coast. It was found that the coast is eroding along 1144 km and accretion of the coast is along 1084 km, while 5321 km of the coastline shows no changes between the two time frames. The coastal land area lost due to erosion was 3680 ha; however, the increase in land area as a result of coastal deposition was 4042 ha. The regional coastal processes and the associated shoreline changes and coastal issues related to anthropogenic impacts are also discussed in this study. The inventory of shoreline changes has been used to prepare six volumes of Shoreline Change Atlas covering the entire Indian coast. The shoreline change database forms the baseline data for planning any coastal development activity by the maritime authorities apart from the potential use by the scientific community.Keywords
Coastal Erosion and Accretion, High Tide Line, Remote Sensing, Shoreline Changes.References
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