Department of Agriculture, Food, Environment and Forestry, University of Florence, 50145 Florence, Italy.
Department of Bioscience and Territory, University of Molise, 86100 Campobasso, Italy.
Sensors (Basel). 2022 Mar 4;22(5):2015. doi: 10.3390/s22052015.
Forests play a prominent role in the battle against climate change, as they absorb a relevant part of human carbon emissions. However, precisely because of climate change, forest disturbances are expected to increase and alter forests' capacity to absorb carbon. In this context, forest monitoring using all available sources of information is crucial. We combined optical (Landsat) and photonic (GEDI) data to monitor four decades (1985-2019) of disturbances in Italian forests (11 Mha). Landsat data were confirmed as a relevant source of information for forest disturbance mapping, as forest harvestings in Tuscany were predicted with omission errors estimated between 29% (in 2012) and 65% (in 2001). GEDI was assessed using Airborne Laser Scanning (ALS) data available for about 6 Mha of Italian forests. A good correlation (r = 0.75) between Above Ground Biomass Density GEDI estimates (AGBD) and canopy height ALS estimates was reported. GEDI data provided complementary information to Landsat. The Landsat mission is capable of mapping disturbances, but not retrieving the three-dimensional structure of forests, while our results indicate that GEDI is capable of capturing forest biomass changes due to disturbances. GEDI acquires useful information not only for biomass trend quantification in disturbance regimes but also for forest disturbance discrimination and characterization, which is crucial to further understanding the effect of climate change on forest ecosystems.
森林在应对气候变化方面发挥着重要作用,因为它们吸收了人类碳排放的很大一部分。然而,正是由于气候变化,森林干扰预计会增加,并改变森林吸收碳的能力。在这种情况下,利用所有可用信息来源对森林进行监测至关重要。我们结合了光学(Landsat)和光子(GEDI)数据,监测了意大利森林(1100 万公顷)四十年来(1985-2019 年)的干扰情况。Landsat 数据被证实是森林干扰制图的重要信息来源,因为对托斯卡纳地区森林采伐的预测,漏报误差估计在 29%(2012 年)和 65%(2001 年)之间。GEDI 是利用约 600 万公顷意大利森林的机载激光扫描(ALS)数据进行评估的。报告称,GEDI 估计的地上生物量密度(AGBD)和冠层高度 ALS 估计之间存在良好的相关性(r=0.75)。GEDI 数据提供了 Landsat 的补充信息。Landsat 任务能够对干扰进行制图,但无法获取森林的三维结构,而我们的结果表明,GEDI 能够捕获由于干扰而导致的森林生物量变化。GEDI 不仅可以为干扰状态下的生物量趋势量化提供有用信息,还可以为森林干扰的区分和特征描述提供有用信息,这对于进一步了解气候变化对森林生态系统的影响至关重要。