Service Description: SDSU, SPAWAR, and USN developed and tested an approach based on hierarchical object-based classification with a rule-based expert system to effectively map vegetation communities on San Clemente Island following the Manual of California Vegetation classification system. This mapping approach closely resembles the process that human image interpreters use to identify species, identify stands with homogeneous species composition, estimate percent cover, and work through a mapping ruleset to assign the correct community type. The primary imagery source was a 4-band aerial multispectral orthoimage dataset, acquired in November 2015, having a high spatial resolution of 0.15 m. In addition, they used products derived from other recent orthoimagery and lidar datasets.
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Description: The first of two objectives for the study was to develop and test efficient and effective methods for semi-automated vegetation mapping of the recovering plant communities on SCI, specifically using hierarchical object-based classification with a rule-based expert system, ultra-high spatial resolution (UHSR) multispectral imagery, and lidar-derived digital canopy height data.A secondobjective was to map the distribution and quantify the cover of vegetation alliances over the entirety of SCI.
The final vegetation map portrays the distribution of 19 vegetation communities across SCI, with the largest areas comprised of California Annual and Perennial Grassland (35 percent) and three types of coastal sage scrub and maritime succulent scrub, comprising a combined 53 percent of the area. Map accuracy was assessed to be 79 percent based on fuzzy methods and 61 percent with a traditional accuracy assessment. The accuracy of tree identification was assessed to be 81 percent, but species-level tree accuracy was 45 percent.
VegCAMP Vegetation Classification and Mapping Program; Program Lead; California Department of Fish and Wildlife (CDFW); Biogeographic Data Branch; 1700 9th Street, 4th Floor; (916) 324-9765; ; ; VegCAMP@wildlife.ca.gov;
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