| Literature DB >> 27394635 |
Jordan Long1, Chandra Giri2, Jurgenne Primavera3, Mandar Trivedi4.
Abstract
We quantified mangrove disturbance resulting from Super Typhoon Haiyan using a remote sensing approach. Mangrove areas were mapped prior to Haiyan using 30m Landsat imagery and a supervised decision-tree classification. A time sequence of 250m eMODIS data was used to monitor mangrove condition prior to, and following, Haiyan. Based on differences in eMODIS NDVI observations before and after the storm, we classified mangrove into three damage level categories: minimal, moderate, or severe. Mangrove damage in terms of extent and severity was greatest where Haiyan first made landfall on Eastern Samar and Western Samar provinces and lessened westward corresponding with decreasing storm intensity as Haiyan tracked from east to west across the Visayas region of the Philippines. However, within 18months following Haiyan, mangrove areas classified as severely, moderately, and minimally damaged decreased by 90%, 81%, and 57%, respectively, indicating mangroves resilience to powerful typhoons.Keywords: Landsat; Mangrove disturbance; NDVI; Philippines mangrove; Super Typhoon Haiyan; eMODIS
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Year: 2016 PMID: 27394635 DOI: 10.1016/j.marpolbul.2016.06.080
Source DB: PubMed Journal: Mar Pollut Bull ISSN: 0025-326X Impact factor: 5.553