Assessing forest degradation from selective logging using time series of fine spatial resolution imagery in Republic of Congo

摘要

Time series of SPOT4Take5 and RapidEye acquired in the period from February to June 2013 are used to monitor the dynamic of logging-related disturbances in the forest cover of a selective logging concession situated in the North of the Republic of Congo. First results of the time series analysis highlights the very rapid changes in the forest cover, as most logging gaps are totally disappearing in the space of a few months.