[pp.51-58]

Assessment of Bamboo Forest Damage in Fujian, China Using Landsat Images

Guosheng ZHONG, Xiufeng WANG, Hiroshi TANI and Shinji MATSUMURA （Graduate School of Agriculture, Hokkaido University / Research Faculty of Agriculture, Hokkaido University / Faculty of ）

Abstract:
Bamboo is an important natural resource in China. Bamboo forest damage causes a serious threat to the natural environment and can lead to economic losses. Satellite images are useful for understanding forest damage. However, there is limited forest monitoring with satellite data used to assess bamboo forest damage. In this study for assessing bamboo forest damage in Fujian, China, we utilized five Landsat TM scenes collected from 1988 to 2009, the supervised classification method that was first applied to distinguish the bamboo forest from the other forest types based on the field survey data. From the comparison of spectral profiles of healthy bamboo and damaged bamboo in October, the second band of the Tasseled Cap Transformation (“greenness”) was selected to estimate the degree of damage of the bamboo forest. This study demonstrates the effectiveness of using the Landsat TM data for monitoring bamboo forest changes, and the results suggest that there is potential for extracting the damaged bamboo portions and estimating the degree of damage to the abnormal bamboo parts using the Tasseled Cap Transformation “greenness” band.

Key Word:
bamboo forest, damage, damage degree estimation, Landsat TM, Tasseled Cap Transformation

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