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Remote Sensing Technology and Application  2016, Vol. 31 Issue (6): 1083-1090    DOI: 10.11873/j.issn.1004-0323.2016.6.1083
    
Comparison of Forest Disturbance Indices based on MODIS Time-Series Data
Li Luoxi1,Shen Runping1,Li Xinhui2,Guo Jia3
(School ofGeography and Remote Sensing,Nanjing University of
Information Science and Technology,Nanjing 210044,China)
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Abstract  

Forest disturbance play an important impact on terrestrial ecosystems.Remote sensing technique has become the most important way to detect the forest disturbance at regular intervals and in a sequential manner because of the capacity of obtaining large area synchronous forest observation data at regular intervals.Forest disturbance monitoring based on time series data is becoming the main method.Fujian Province is taken as a case study.Five kinds of forest disturbance indices of DI,IFZ,NBR,NDMI and NDVI,and the different disturbance types spectral response capacity are studied,and the classification accuracy is evaluated by using MODIS time series data set from 2001~2013.The results show that extraction capacity of DI for forest cutting,plant diseases and insect pests,and afforestation is strong,and NBR is most sensitive to forest fire,in addition,spectral response capacity of NDVI for four disturbance types is relatively weak.The separability index(SI) of DI and IFZ are higher than 1 for different disturbance,which indicate that these two indices can be used to monitor multiple disturbance types.The accuracy assessment shows that DI among the indices,has the highest extraction capability.Its total accuracy to monitor the different disturbance is the highest of 92.97% and its kappa coefficient reaches to 0.92,followed by IFZ,which has the total accuracy of 89.66% and kappa coefficient of 0.88.The monitoring accuracy of NBR and NDMI nearly are the same,and are higher than NDVI.

Key words:  Forest disturbance      MODIS      Time series data      NDVI     
Received:  08 August 2015      Published:  30 December 2016
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Li Luoxi
Shen Runping
Li Xinhui
Guo Jia

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Li Luoxi,Shen Runping,Li Xinhui,Guo Jia. Comparison of Forest Disturbance Indices based on MODIS Time-Series Data. Remote Sensing Technology and Application, 2016, 31(6): 1083-1090.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2016.6.1083     OR     http://www.rsta.ac.cn/EN/Y2016/V31/I6/1083

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