Marine Science Faculty Publications
Document Type
Article
Publication Date
2020
Keywords
wetlands, WorldView-2, sunglint, supercomputing, Rookery Bay, National Estuarine Research Reserve (NERR)
Digital Object Identifier (DOI)
https://doi.org/10.3390/rs12111740
Abstract
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., <5 m pixel) satellite imagery has proven effective to map wetland ecosystems, but challenges in data acquisition and storage, algorithm training, and image processing have prevented large-scale and time-series mapping of these data. We describe our approach to address these issues to evaluate Rookery Bay ecosystem damage and recovery using 91 WorldView-2 satellite images collected between 2010 and 2018 mapped using automated techniques and validated with a field campaign. Land cover was classified seasonally at 2 m resolution (i.e., healthy mangrove, degraded mangrove, upland, soil, and water) with an overall accuracy of 82%. Digital change detection methods show that hurricane-related degradation was 17% of mangrove forest (~5 km2). 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.
Rights Information
This work is licensed under a Creative Commons Attribution 4.0 License.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Remote Sensing, v. 12, issue 11, art. 1740
Scholar Commons Citation
Mccarthy, Matthew J.; Jessen, Brita; Barry, Michael J.; Figueroa, Marissa; McIntosh, Jessica; Murray, Tylar; Schmid, Jill; and Muller-Karger, Frank E., "Automated High-Resolution Time Series Mapping of Mangrove Forests Damaged by Hurricane Irma in Southwest Florida" (2020). Marine Science Faculty Publications. 2199.
https://digitalcommons.usf.edu/msc_facpub/2199
