Remote sensing classification of mangrove based on SPOT5 image
Taking the Dongzhaigang National Mangrove Reserve in Hainan Island as example, we executed field measurements to obtain mangrove spectral data. On the basis of maximum likelihood classification purification mangrove information, combining with different kinds of mangrove spectral features and vegetation index difference, selected separability threshold, we established decision-making tree classification rule of SPOT5 images based on images between classifications, and tested its classification accuracy. Classification result shows that accuracy for each mangrove type reached 80% and the total accuracy added up to 90%. This research offers a foundation for operational remote sensing monitoring of mangrove ecosystem.
NETL
NSTL
万方数据
维普
