Abstract
BackgroundREDD+ implementation requires establishment of a system for measuring, reporting and verification (MRV) of forest carbon changes. A challenge for MRV is the lack of satellite based methods that can track not only deforestation, but also degradation and forest growth, as well as a lack of historical data that can serve as a basis for a reference emission level. Working in a miombo woodland in Tanzania, we here aim at demonstrating a novel 3D satellite approach based on interferometric processing of radar imagery (InSAR).ResultsForest carbon changes are derived from changes in the forest canopy height obtained from InSAR, i.e. decreases represent carbon loss from logging and increases represent carbon sequestration through forest growth. We fitted a model of above-ground biomass (AGB) against InSAR height, and used this to convert height changes to biomass and carbon changes. The relationship between AGB and InSAR height was weak, as the individual plots were widely scattered around the model fit. However, we consider the approach to be unique and feasible for large-scale MRV efforts in REDD+ because the low accuracy was attributable partly to small plots and other limitations in the data set, and partly to a random pixel-to-pixel variation in trunk forms. Further processing of the InSAR data provides data on the categories of forest change.The combination of InSAR data from the Shuttle RADAR Topography Mission (SRTM) and the TanDEM-X satellite mission provided both historic baseline of change for the period 2000–2011, as well as annual change 2011–2012.ConclusionsA 3D data set from InSAR is a promising tool for MRV in REDD+. The temporal changes seen by InSAR data corresponded well with, but largely supplemented, the changes derived from Landsat data.
Highlights
REDD+ implementation requires establishment of a system for measuring, reporting and verification (MRV) of forest carbon changes
The current approach represents a new concept for REDD+ monitoring, where carbon stock changes are derived from changes in Interferometric Synthetic Aperture RADAR (SAR) (InSAR) height, rather than changes in forest area
An operational monitoring in such miombo woodland can be based on Above-Ground Biomass (AGB) being proportionally related to InSAR height with 14.1 t/ha/m
Summary
REDD+ implementation requires establishment of a system for measuring, reporting and verification (MRV) of forest carbon changes. A challenge for MRV is the lack of satellite based methods that can track deforestation, and degradation and forest growth, as well as a lack of historical data that can serve as a basis for a reference emission level. The CO2 emissions from deforestation and forest degradation in the tropics contribute substantially to the anthropogenic greenhouse gas (GHG) emissions. REDD+ offers a performancebased financial incentive for participating developing countries, i.e. a payment per ton of CO2 from reduced carbon losses as compared to a reference emission level (REL). Countries participating in REDD+ need to establish a Measuring, Reporting and Verification (MRV) system for changes in forest carbon pools and related greenhouse gas (GHG) emission [3]. In the development of MRV methods AGB plays a key role, as it represents the most
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