دورية أكاديمية
Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems
| العنوان: | Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems |
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| المؤلفون: | Pinki Mondal, Trishna Dutta, Abdul Qadir, Sandeep Sharma |
| المصدر: | Remote Sensing in Ecology and Conservation, Vol 8, Iss 4, Pp 506-520 (2022) |
| بيانات النشر: | Wiley, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Technology LCC:Ecology |
| مصطلحات موضوعية: | Amphan, cyclone, mangrove, rapid assessment, Sentinel, Sundarban, Technology, Ecology, QH540-549.5 |
| الوصف: | Abstract Rapid impact assessment of cyclones on coastal ecosystems is critical for timely rescue and rehabilitation operations in highly human‐dominated landscapes. Such assessments should also include damage assessments of vegetation for restoration planning in impacted natural landscapes. Our objective is to develop a remote sensing‐based approach combining satellite data derived from optical (Sentinel‐2), radar (Sentinel‐1), and LiDAR (Global Ecosystem Dynamics Investigation) platforms for rapid assessment of post‐cyclone inundation in non‐forested areas and vegetation damage in a primarily forested ecosystem. We apply this multi‐scalar approach for assessing damages caused by the cyclone Amphan that hit coastal India and Bangladesh in May 2020, severely flooding several districts in the two countries, and causing destruction to the Sundarban mangrove forests. Our analysis shows that at least 6821 sq. km. land across the 39 study districts was inundated even after 10 days after the cyclone. We further calculated the change in forest greenness as the difference in normalized difference vegetation index (NDVI) pre‐ and post‐cyclone. Our findings indicate a |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2056-3485 |
| العلاقة: | https://doaj.org/toc/2056-3485Test |
| DOI: | 10.1002/rse2.257 |
| الوصول الحر: | https://doaj.org/article/08d2698b67624947a7185ef154dde74aTest |
| رقم الانضمام: | edsdoj.08d2698b67624947a7185ef154dde74a |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20563485 |
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| DOI: | 10.1002/rse2.257 |