红树林
遥感
基本事实
植被(病理学)
高分辨率
环境科学
高光谱成像
地理信息系统
计算机科学
地理
生态学
人工智能
医学
生物
病理
作者
B. C. Beh,M. Z. MatJafri,H. S. Lim
摘要
Mangrove vegetation is widely employed and studied as it is a unique ecosystem which is able to provide plenty of goods and applications to our country. In this paper, high resolution airborne image data obtained the flight mission on Kuala Sepetang Mangrove Forest Reserve, Perak, Malaysia will be used for mangrove species mapping. Supervised classification using the retrieved surface reflectance will be performed to classify the airborne data using Geomatica 2013 software package. The ground truth data will be used to validate the classification accuracy. High correlation of R2=0.873 was achieved in this study indicate that high resolution airborne data is reliable and suitable used for mangrove species mapping.
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