Abstract
In recent years, deforestation in Dak Nong hashad a complicated situation. It is essential to conduct forest monitoringfrequently and continuously. Frequent forest monitoring using optical data haslow efficiency due to the impacts of tropical climate conditions and cloudcover. In order to address the need for timely update on deforestation, usingSAR (Synthetic Aperture Radar) time series can monitor the forest monthly .Sentinel -1 with a 12-day repeat cycle in both ascending and descending pass(one day) meets the requirement for data continuity as well as not beingdependent on the weather. In this study, the authors analyzed theback-scattering from Sentinel-1time series, using the ratio of RCR (radarchange ratio) to detect unusual changes in forest cover, the results arerecorded from both ascending and descending orbit that increased the accuracy,thereby making the monthly hot-spot deforestation mapping.
PDF (Tiếng Việt)
| Download: 203
Downloads
Download data is not yet available.