期刊
SENSORS
卷 18, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/s18030829
关键词
mangrove; species spectral separability; random forest classifier; rare species; habitat monitoring; sea level rise; climate change; conservation
资金
- National Park Service George Melendez Wright Climate Change Fellowship and Travel Award
- Florida International University Doctoral Evidence Acquisition Fellowship
- Florida International University Dissertation Year Fellowship
- National Science Foundation Research Experiences for Undergraduates Program
- National Science Foundation Florida Coastal Everglades Long-term Ecological Research Program
- Florida International University Kelly Tropical Botany Scholarship
- Florida International University Department of Biological Sciences Travel Award
- Florida International University Graduate Student Association Travel Award
Coastal plant communities are being transformed or lost because of sea level rise (SLR) and land-use change. In conjunction with SLR, the Florida Everglades ecosystem has undergone large-scale drainage and restoration, altering coastal vegetation throughout south Florida. To understand how coastal plant communities are changing over time, accurate mapping techniques are needed that can define plant communities at a fine-enough resolution to detect fine-scale changes. We explored using bi-seasonal versus single-season WorldView-2 satellite data to map three mangrove and four adjacent plant communities, including the buttonwood/glycophyte community that harbors the federally-endangered plant Chromolaena frustrata. Bi-seasonal dataweremore effective than single-season to differentiate all communities of interest. Bi-seasonal data combined with Light Detection and Ranging (LiDAR) elevation datawere used tomap coastal plant communities of a coastal stretchwithin Everglades National Park (ENP). Overall map accuracy was 86%. Black and red mangroves were the dominant communities and covered 50% of the study site. All the remaining communities had <= 10% cover, including the buttonwood/glycophyte community. ENP harbors 21 rare coastal species threatened by SLR. The spatially explicit, quantitative data provided by our map provides a fine-scale baseline for monitoring future change in these species' habitats. Our results also offer a method to monitor vegetation change in other threatened habitats.
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