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This study aimed to examine the use of PlanetScope imagery (3.7 m spatial resolution) for mapping seagrass in Nusa Lembongan, Indonesia using machine learning methods. The best model accuracy of 98% was achieved using raw PlanetScope data with the decision tree method. Atmospheric, sun-glint, and water column corrections did not improve accuracy. Mapping from 2016 to 2021 found a decline in seagrass cover from 100.53 hectares to 97.31 hectares, indicating need for improved monitoring and management of this

Author

Kevin Marbun

Language

EN