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《Remote Sensing Technology and Application》 2017-06
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Change Detection of Forest Coverage in Sichuan Giant Panda Sanctuaries Using PALSAR Time Series Data

Zhou Xiaoyu;Chen Fulong;Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;University of Chinese Academy of Sciences;International Centre on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO;  
Time series features of SAR backscattering in the period of 2007 to 20011 were used to monitor the change of forest coverage in Wolong and Caopo Nature Reserve in Sichuan Prov.China.Firstly,PALSAR data were separated into 4 groups;then,a decision tree approach was derived using the J48 algorithm for the forest fine mapping,resulting in the overall classification accuracy(OA)and kappa coefficient(KC)equaling to 94.31% and 0.89,respectably.After that,four time-series maps of forest coverage in study area were obtained in the observation period of 2007-2011.Change detection demonstrated that the proportion of the forest coverage was reduced from 56.66%to 48.11%(that is 8.55% declining)caused by the Wenchuan Earthquake.However,the ecological system was recovering since the second year of the event,such as the forest coverage increased up to 48.52%(equals to a recovered square of 9.19 km2 that is amounting to13.24% of the damaged area).This study implied that Wenchuan Earthquake could be a negative impact on the deforestation of the study area;nonetheless the ecological system is recovering nowadays jointly contributed by the combination of natural and anthropogenic impactors.
【Fund】: 中国科学院“百人计划”项目(Y5YR0300QM);; 国家重点研发计划项目(2016YFB0501502)资助
【CateGory Index】: S771.8
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