Spatio-temporal pattern of seagrass distribution and the relation with human activities in Banten Bay

Abstract

Seagrass meadows are important ecosystem due to their structural and functions role as a place for various nutrient cycles, feeding area, and breeding for a variety of marine species. Increased human activity in the form of shipping, sand mining, reclamation, and the development of tourism sector is reported causing disturbed seagrass condition. Therefore, spasio-temporal monitoring of the seagrass condition is important to understand the relationship between the seagrass condition and the stresses from human activity. This research was conducted to analyze the change of seagrass distribution in Banten Bay and its relation with human activity using multi temporal Landsat data from 2008 to 2018. Landsat data is processed using Depth Invariant Index method and classified using Maximum Likelihood with field data. The results of this study indicate a reduction of 74,28 ha seagrass area in the Banten Bay from 2008 to 2018 due to increased human activity.