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Pawar, Satish
- Detection and Mapping of Seagrass Meadows at Ritchie’s Archipelago using Sentinel 2A Satellite Imagery
Abstract Views :161 |
PDF Views:79
Authors
Sharad Bayyana
1,
Satish Pawar
1,
Swapnali Gole
2,
Sohini Dudhat
2,
Anant Pande
2,
Debashis Mitra
3,
Jeyaraj Antony Johnson
4,
Kuppusamy Sivakumar
2
Affiliations
1 Indian Institute of Remote Sensing, Dehradun 248 001, IN
2 Department of Endangered Species Management, Wildlife Institute of India, Dehradun 248 002, IN
3 Marine and Atmospheric Science Department, Indian Institute of Remote Sensing, Dehradun 248 001, IN
4 Department of Habitat Ecology, Wildlife Institute of India, Dehradun 248 002, IN
1 Indian Institute of Remote Sensing, Dehradun 248 001, IN
2 Department of Endangered Species Management, Wildlife Institute of India, Dehradun 248 002, IN
3 Marine and Atmospheric Science Department, Indian Institute of Remote Sensing, Dehradun 248 001, IN
4 Department of Habitat Ecology, Wildlife Institute of India, Dehradun 248 002, IN
Source
Current Science, Vol 118, No 8 (2020), Pagination: 1275-1282Abstract
This study presents an attempt to utilize seagrass data acquired from field surveys to compare classification models for mapping seagrasses using Sentinel -2A satellite data. Out of three models tested , viz. Random Forest, Support Vector Machine and K-Nearest Neighbor; Random Forest classification model proved most effective in the given scenario with 0.99 model accuracy. Seagrasses present as deep as 21 m were detected post water column correction, presenting the capability of Sentinel-2A satellite in detecting submerged benthic habitat.Keywords
Depth Invariant Index, Ritchie’s Archipelago, Seagrass, Sentinel-2A.Full Text
References
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