RIASSUNTO
Mangrove forests constitute an important coastal ecosystem, which provides valuable ecosystem services such as coastal erosion protection, water filtration and shelters for a wide variety of plants and animals. Remote sensing satellite imagery provides valuable information for mangrove mapping and monitoring. In this study, we use high resolution images from SPOT-5, Landsat-7 and Landsat-8 satellites to perform change detection on an area of interest that covers the mangrove forests at the Ramsar sites of Pulau Kukup, Tanjung Piai and Sungai Pulai in the southwestern part of Johor State of Malaysia. Land use/land cover maps and the mangrove change map are generated to identify the mangrove distribution and temporal variation between 2000 and 2016. A hierarchical object-based classification method was used to produce the land use/land cover map in 2000, 2005, 2013 and 2016. The WorldView2 data were also used for validation of the classification results. This study presented an approach for mangrove mapping and change detection analysis. The map provides an up to date information for the study area and can be used for future comparative study.