英文摘要 |
The detection of forest disturbance is important in research under global climate anomaly. It is also useful for identifying spatial and temporal trends in forest management. Our goal here was to create a remote-sensing-based index in order to assess forest disturbances in medium altitude experimental station of Endemic Species Research Institute and surroundings with in Tengjhih area. First, we applied Lands at images before and after natural disaster (2009 and 2013) with a hybrid classification and change analysis to understand land-cover changes within the study area. Second, the disturbance index (DI) was tested, which was a novel combination of the three spectral reflectance indices, normalized difference soil index, vegetation index and water index. Results revealed that the DI not only can efficiently detect forest disturbances but also provide an important tool for monitoring the success and failure of conservation efforts in the future. |