Relative abundance estimations of Chengal trees in a tropical rainforest by using modified canopy fractional cover (mCFC)

8th International Symposium of the Digital Earth

地球科学;计算机科学

Hassan, N.^1

Department of Tourism Science, Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University, Minami-Osawa 1-1, Hachioji, Tokyo 192-0397, Japan^1

关键词: Fractional cover;    Mixture tuned matched filtering;    Relative abundance;    Satellite data;    Tree species;    Tree species composition;    Tropical rain forest;    Undisturbed forests;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012013/pdf
DOI  :  10.1088/1755-1315/18/1/012013

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Tree species composition estimations are important to sustain forest management. This study estimates relative abundance of useful timber tree species (chengal) using Hyperion EO-1 satellite data. For the estimation, modified Canopy Fractional Cover (mCFC) was developed using Canopy Fractional Cover (CFC). mCFC was more sensitive to estimate relative abundance of chengal trees rather than Mixture Tuned Matched Filtering (MTMF). Meanwhile, MTMF was more sensitive to estimate the relative abundance of undisturbed forest. Accuracy suggests that the mCFC model is better to explain relative abundance of chengal trees than MTMF. Therefore, it can be concluded that relative abundance of tree species extracted from Hyperion EO-1 satellite data using modified Canopy Fractional Cover is an obtrusive approach used for identifying tree species composition.