Automated High-Resolution Time Series Mapping of Mangrove Forests Damaged by Hurricane Irma in Southwest Florida
| Autor: | Marissa Figueroa, Tylar Murray, Jessica McIntosh, Michael J. Barry, Brita Jessen, Frank E. Muller-Karger, Matthew J. McCarthy, Jill Schmid |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
supercomputing 010504 meteorology & atmospheric sciences sunglint wetlands WorldView-2 Rookery Bay National Estuarine Research Reserve (NERR) Wetland Land cover 01 natural sciences Satellite imagery lcsh:Science 0105 earth and related environmental sciences Rookery geography geography.geographical_feature_category 010604 marine biology & hydrobiology Storm Estuary General Earth and Planetary Sciences Environmental science lcsh:Q Physical geography Mangrove Bay |
| Zdroj: | Remote Sensing, Vol 12, Iss 1740, p 1740 (2020) Remote Sensing; Volume 12; Issue 11; Pages: 1740 |
| ISSN: | 2072-4292 |
| Popis: | In September of 2017, Hurricane Irma made landfall within the Rookery Bay National Estuarine Research Reserve of southwest Florida (USA) as a category 3 storm with winds in excess of 200 km h-1. We mapped the extent of the hurricane’s impact on coastal land cover with a seasonal time series of satellite imagery. Very high-resolution (i.e. 2). Approximately 35% (1.7 km2) of this loss recovered one year after Hurricane Irma. The approach completed the mapping approximately 200 times faster than existing methods, illustrating the ease with which regional high-resolution mapping may be accomplished efficiently. |
| Databáze: | OpenAIRE |
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