HUANG Chunbo, DIAN Yuanyong, ZHOU Zhixiang, et al. Forest change detection based on time series images with statistical properties[J]. Journal of Remote Sensing, 2015,19(4):657-668.
HUANG Chunbo, DIAN Yuanyong, ZHOU Zhixiang, et al. Forest change detection based on time series images with statistical properties[J]. Journal of Remote Sensing, 2015,19(4):657-668. DOI: 10.11834/jrs.20154104.
Research on forest dynamic changes has a significant meaning for revealing changes in ecosystem
overall arrangement
and vegetation recovery. Time series remote sensing image provides abundant data for forest monitoring. This paper presents a novel method for forest cover change detection with time series images.( 1) On the basis of the statistical properties of a forest area
a modified dark object identification method
which added NDVI to filter other dark objects
was used to acquire forest samples.( 2)A new Integrated Forest Z-score( IFZ) that added NDVI was constructed on the basis of the forest samples to indicate forest characteristic.( 3) A time series IFZ value was used to identify forest cover changes. The research area was in Three Gorges Dam.Peripheral area and Thematic Mapper images in every growing season( May-October) from 2001 to 2012 in this area were acquired. The accuracy of the change detection results was evaluated by t-test using Quick Bird images in the growing season( JulySeptember) in 2002
2006
and 2012. The overall precision was 96. 53%
and the Kappa coefficient was 0. 9512. The commission and omission errors of this class were 2. 74% and 3. 64% respectively. The accuracy of the disturbance-restoration class was also improved but not as significant as that of the deforestation class; its commission and omission errors were 10. 79% and10. 51% respectively. The modified dark object method could improve the efficiency of sampling
and the new IFZ that added NDVI could identify forest effectively. In addition
the novel method not only identified forest quality changes
but also detected the time and degree of disturbance quantitatively.
关键词
森林指数动态监测统计特性影像分割信息提取时间序列
Keywords
forest scoredynamic monitoringstatistical propertiesimage segmentationinformation extractiontime series