Journal Title
Title of Journal: J Indian Soc Remote Sens
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Abbravation: Journal of the Indian Society of Remote Sensing
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Authors: Mazlan Hashim Amin Beiranvand Pour Chong Khen Wei
Publish Date: 2013/11/16
Volume: 42, Issue: 2, Pages: 383-396
Abstract
This study was undertaken the use of course and moderate spatial resolution remote sensing data to assess the forest degradation in the Peninsular Malaysia Moderate Resolution Imaging Spectroradiometer MODIS imagery was used as coarse spatial resolution data while Landsat Enhanced Thematic Mapper+ ETM+ imagery was used as moderate spatial resolution to compare the accuracy Geometric and radiometric correction and resampling were performed in preprocessing to enhance the analysis and results Canopy fractional cover was used as an approach to assess the forest degradation in this study Then an optimum vegetation index was selected to apply on canopy fractional cover to enhance the detection of forest canopy damage At the same time accuracy assessment for the approach was referred to the location of Neobalanocarpus Heimii and correlate with global evapotranspiration rate The forest degradation analysis was also applied and compared for all of the states in the Peninsular Malaysia In conclusion Landsat ETM+ imagery obtained higher accuracy compare to MODIS using canopy fractional cover approach for forest degradation assessment and can be more broadly applicable to use for forest degradation investigationThis study is granted by Universiti Teknologi Malaysia UTM We also acknowledge Research Management Centre of UTM for facilitating the postdoctoral scheme We also would like to express our great appreciation to the anonymous reviewers for their very useful and constructive comments and suggestions for improvement of this manuscript
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