Abstract
Mapping and assessment of mangrove environment are crucial since the mangrove has an important role in the process of human-environment interaction. In Indonesia alone, 25% of South East Asia's mangroves available are under threat. Recognizing the availability and the ability of new sensor of Landsat data, this study investigates the use of Landsat ETM + 7 and Landsat 8, acquired in 2002 and 2013 respectively, for assessing the extent of mangroves along the South Sulawesi’s coastline. For each year, a supervised classification of the mangrove was performed using open source GRASS GIS software. The resulting maps were then compared to quantify the change. Field work activities were conducted and confirmed with the changes that occurred in the study area. Considering the accuracy assessment, our study shows that the RGB composite color-supervised classification is better than band ratio-supervised classification methods. By linking the open source software with the Landsat data and Google Earth satellite imagery that is available in public domain, mangroves forest conversion and changes can be observed remotely. Ground truth surveys confirmed that, decreases of mangroves forest is due to the expansion of fishpond activity. This technique could potentially allow rapid, inexpensive remote monitoring of cascading, indirect effects of human activities to mangroves forest.
Highlights
Mangrove forests are among the most productive and biologically important ecosystems of the world because they provide important and unique ecosystem goods and services to human society, coastal and marine systems
Nascimento et al [24] analyzed the ability of Synthetic Aperture Radar (SAR) for providing cloud-free observations, this study investigated the use of JERS-1 SAR and ALOS PALSAR data, an object-oriented classification of major land covers was performed with the resulting maps than compared to quantify change
This study has shown that Landsat 7 ETM+ and Landsat 8 Operational Land Imager (OLI) are suitable for the regional mapping and assessment of mangrove forests
Summary
Mangrove forests are among the most productive and biologically important ecosystems of the world because they provide important and unique ecosystem goods and services to human society, coastal and marine systems. Nascimento et al [24] analyzed the ability of Synthetic Aperture Radar (SAR) for providing cloud-free observations, this study investigated the use of JERS-1 SAR and ALOS PALSAR data, an object-oriented classification of major land covers was performed with the resulting maps than compared to quantify change. Application of this method is relatively costly since the ALOS PALSAR data are commercial remote-sensed data, for mangrove monitoring in developing countries with large mangrove forest areas such as Indonesia, which require an extensive amount of data. The imageries were acquired over the Makassar Strait region (Figure 1)
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