当前位置: X-MOL 学术Environ. Res. Lett. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Remote sensing of forest degradation: a review
Environmental Research Letters ( IF 5.8 ) Pub Date : 2020-09-20 , DOI: 10.1088/1748-9326/abaad7
Yan Gao , Margaret Skutsch , Jaime Paneque-Gálvez , Adrian Ghilardi

Forest degradation affects forest structure, composition and diversity, carbon stocks, functionality and ecosystem processes. It is known to contribute significantly to global carbon emissions, but there is uncertainty about the relative size of these emissions. This is largely because while deforestation, or long-term forest clearance, has been successfully monitored using remote sensing (RS) technology, there are more difficulties in using RS to quantify forest degradation, in which the area remains as forest, but with an altered structure, composition and function. A major challenge in estimating emissions from forest degradation is that in addition to identifying the areas affected, the amount of biomass loss over time in a given area must be estimated. Contributory challenges to mapping, monitoring and quantifying forest degradation include the complexity of the concept of degradation, limitations in the spatial and temporal resolution of RS sensors, and the inherent comple...

中文翻译:

遥感森林退化:回顾

森林退化会影响森林的结构,组成和多样性,碳储量,功能和生态系统过程。众所周知,它对全球碳排放有重要贡献,但这些排放的相对规模尚不确定。这主要是因为虽然已使用遥感(RS)技术成功监测了森林砍伐或长期森林砍伐,但使用RS量化森林退化的难度更大,因为该地区的面积仍为森林,但变化不大。结构,组成和功能。估算森林退化造成的排放量的主要挑战是,除了确定受影响的区域外,还必须估算给定区域内生物量随时间的流失量。映射方面的挑战
更新日期:2020-09-21
down
wechat
bug