Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD

Carbon Balance and Management
Anthea L MitchellBrice Mora

Abstract

Forest degradation is a global phenomenon and while being an important indicator and precursor to further forest loss, carbon emissions due to degradation should also be accounted for in national reporting within the frame of UN REDD+. At regional to country scales, methods have been progressively developed to detect and map forest degradation, with these based on multi-resolution optical, synthetic aperture radar (SAR) and/or LiDAR data. However, there is no one single method that can be applied to monitor forest degradation, largely due to the specific nature of the degradation type or process and the timeframe over which it is observed. The review assesses two main approaches to monitoring forest degradation: first, where detection is indicated by a change in canopy cover or proxies, and second, the quantification of loss (or gain) in above ground biomass (AGB). The discussion only considers degradation that has a visible impact on the forest canopy and is thus detectable by remote sensing. The first approach encompasses methods that characterise the type of degradation and track disturbance, detect gaps in, and fragmentation of, the forest canopy, and proxies that provide evidence of forestry activity. Progress in these top...Continue Reading

References

Jun 9, 2007·Science·Nadine T LaporteScott J Goetz
Aug 28, 2009·Carbon Balance and Management·Hannes BöttcherMichael Obersteiner
Dec 30, 2011·Carbon Balance and Management·Margaret M SkutschMartin Herold
Apr 25, 2013·PloS One·Gregory P AsnerRoberta E Martin
Nov 16, 2013·Science·M C HansenJ R G Townshend

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Citations

Feb 6, 2020·Global Change Biology·Eric L BullockPontus Olofsson
Nov 3, 2020·The Science of the Total Environment·Eric L Bullock, Curtis E Woodcock

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Methods Mentioned

BETA
SMA
feature extraction
GLAS

Software Mentioned

ALOS
GEDI
BIOMASS
PolInSAR
LandTrendr ( Landsat - based Detection of Trends in Disturbanc...
TanDEM
COSMO
Spectral Mixture Analysis ( SMA )
ScanSAR
SkyMed

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