In Europe, the change in forest cover caused by felling activities, especially clear-cutting, is the most significant driver of forest ecosystem change. Monitoring the magnitude of harvest activities and their spatial and temporal distribution can provide essential change indicators of the pressure on forest ecosystems. Satellite remote sensing offers the means to assess and map indicators of forest change dynamics related to a high spatial- and temporal resolution over large areas cost-effectively and objectively. Large-scale maps of forest cover change over time produced by LandTrendr (LT), a temporal segmentation algorithm, and Global Forest Watch (GFW) are evaluated in a Norwegian boreal environment. Their accuracy to detect change at stand-level and their potential to produce landscape-level spatial and temporal change indicators was assessed against a 20-year historical record of harvest activities in Southern Norway. Data from LT were found to be spatially and temporally more coherent with the reference data than GFW. LT detected 85.4% of the clear-cuts and a decrease in harvest activities between 2001 and 2017, a trend confirmed by the reference data, while GFW detected 63.1% of the clear-cuts and an increase in harvest activities for the same period. It was concluded that LT map of changes (LT-map) provides efficient spatial and temporal indicators of forest change dynamics and performed better than GFW tree cover loss map (GFW-map) to identify and monitor clear-cuts in a Norwegian boreal forest.

在欧洲，伐木活动，尤其是伐木活动引起的森林覆盖率变化是森林生态系统变化的最重要驱动力。监测采伐活动的规模及其空间和时间分布可以提供森林生态系统压力的重要变化指标。 卫星遥感提供了一种手段，可以经济有效地客观评估和绘制与大面积高时空分辨率有关的森林变化动态指标。由LandTrendr（LT），时间分割算法和Global Forest Watch（GFW）生成的大型森林覆盖物随时间变化的地图是在挪威北方环境中评估的。根据挪威南部20年历史的收获活动记录，评估了它们在标准水平上检测变化的准确性以及在景观水平上产生时空变化指标的潜力。发现来自LT的数据与参考数据相比在空间和时间上比GFW更一致。在2001年至2017年间，LT发现了85.4％的明确伐木和收成活动减少，这一趋势已得到参考数据的确认，而GFW则检测到63.1％的伐木和同一时期的采伐活动有所增加。得出的结论是，LT变化图（LT-map）提供了有效的森林变化动态的时空指标，并且比GFW树木覆盖度损失图（GFW-map）表现更好，可以识别和监控挪威北方森林中的清晰林。