气候变化领域集成服务门户(CCPortal): Remote sensing of forest degradation: a review

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DOI	10.1088/1748-9326/abaad7
	Remote sensing of forest degradation: a review
	Gao Y.; Skutsch M.; Paneque-Gálvez J.; Ghilardi A.
发表日期	2020
ISSN	17489318
卷号	15 期号:10
英文摘要	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 complexity of detecting degradation caused by different disturbance processes and forest uses. We take the innovative approach of dividing the studies reviewed by the specific type of forest disturbance that is being monitored (selective logging, fires, shifting cultivation and fuelwood extraction etc.), since these different activities will result in different signatures in the canopy and thus may determine the type of RS technology that may best be applied. © 2020 The Author(s). Published by IOP Publishing Ltd
英文关键词	Forest disturbance; Forest fires; Fuelwood collection; Hurricanes; Illegal logging; Over-hunting; Pests; Satellite images; Shifting cultivation; Spectral mixture analysis; Time series analysis; Tsunamis
语种	英语
scopus关键词	Carbon; Deforestation; Forest degradation; Forest disturbances; Fuelwood extraction; Global carbon emission; Inherent complexity; Innovative approaches; Shifting cultivations; Spatial and temporal resolutions; Remote sensing; carbon sequestration; community structure; complexity; deforestation; ecosystem function; forest cover; forest ecosystem; innovation; literature review; remote sensing; species diversity
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153652
作者单位	Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Morelia, Mexico
推荐引用方式 GB/T 7714	Gao Y.,Skutsch M.,Paneque-Gálvez J.,et al. Remote sensing of forest degradation: a review[J],2020,15(10).
APA	Gao Y.,Skutsch M.,Paneque-Gálvez J.,&Ghilardi A..(2020).Remote sensing of forest degradation: a review.Environmental Research Letters,15(10).
MLA	Gao Y.,et al."Remote sensing of forest degradation: a review".Environmental Research Letters 15.10(2020).