基于SPOT5的红树林遥感分类*

doi:10.11978/j.issn.1009-5470.2012.06.020

Abstract

Abstract: 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.

Key words: SPOT5 satellite image, mangrove, spectral feature, remote sensing classification

CLC Number:

TP75

SU Xiu, ZHAO Dong-zhi, WANG Xiang, ZHONG Cai-rong. Remote sensing classification of mangrove based on SPOT5 image[J].Journal of Tropical Oceanography, 2012, 31(6): 128-134.

References

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Remote sensing classification of mangrove based on SPOT5 image

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