Mangrove vegetation mapping in selected islands of Kelantan Delta using upervised classification technique and soil pH data

Abstract

Mangrove forest is the second most productive ecosystem in the world and become one of the importance ecosystems now. Function as a barrier from tidal waves and storm surges like typhoon, tsunami and acting as habitat and nursery ground for numbers of organism. Now, mangrove forests face a big declining problem from clearing activities for commercial likes build a shrimp pond. This is not only happen in Malaysia, but also in all around the world. This problem results in increasing demand of detailed mangrove map at the species level for monitoring mangrove ecosystems and their diversity. This study is to see the distribution of mangrove vegetation and soil pH at the study area and to determine the relationship between mangrove vegetation and soil pH. This study is to investigate whether using the soil pH as secondary data can be integrated to produce mangrove vegetation map at species level. The overall accuracy assessment for this study is 89.00 %. For Avicennia alba (AA) the accuracy assessment is 80.00 %, while for Nypa fruticans (NF) the accuracy assessment is 95.00 % and Sonneratia caesolaris (SC) is 90.00 %.