Vegetation - San Clemente Island [ds2962]

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.