Mangrove extent mapping across the Darwin Harbour Integrated Marine Monitoring and Research Program (DHIMMRP) [Draft]

Mangrove extent mapping is a dataset that consists of mangrove extent classification derived from annual and seasonal composites. The dataset intend for applications like mapping mangrove monitoring, modelling mangrove prioritization, vegetation change detection analysis during the specified periods, and other scientific uses. This dataset provides mangrove extent mapping by using machine learning random forest classification. Auxiliary data such as vegetation indices, Digital elevation models and Woody Vegetation Canopy Height Models also provide support to the decision trees classifying to the mangrove areas. The tiles captured to perform the mangrove extent classification were 52lfm 52lgm 52lfl 52lgl then mosaic in a single raster.