Abstract
Monitoring changes in forest height, biomass and carbon stock is important for understanding the drivers of forest change, clarifying the geography and magnitude of the fluxes of the global carbon budget and for providing input data to REDD+. The objective of this study was to investigate the feasibility of covering these monitoring needs using InSAR DEM changes over time and associated estimates of forest biomass change and corresponding net CO2 emissions. A wall-to-wall map of net forest change for Uganda with its tropical forests was derived from two Digital Elevation Model (DEM) datasets, namely the SRTM acquired in 2000 and TanDEM-X acquired around 2012 based on Interferometric SAR (InSAR) and based on the height of the phase center. Errors in the form of bias, as well as parallel lines and belts having a certain height shift in the SRTM DEM were removed, and the penetration difference between X- and C-band SAR into the forest canopy was corrected. On average, we estimated X-band InSAR height to decrease by 7 cm during the period 2000–2012, corresponding to an estimated annual CO2 emission of 5 Mt for the entirety of Uganda. The uncertainty of this estimate given as a 95% confidence interval was 2.9–7.1 Mt. The presented method has a number of issues that require further research, including the particular SRTM biases and artifact errors; the penetration difference between the X- and C-band; the final height adjustment; and the validity of a linear conversion from InSAR height change to AGB change. However, the results corresponded well to other datasets on forest change and AGB stocks, concerning both their geographical variation and their aggregated values.
Highlights
This study presents an approach for mapping the net forest change during a 12-year period, and the associated CO2 emissions, for the country of Uganda using Interferometric SAR (InSAR)
We evaluated the consistency between the InSAR height changes and Landsat based change categories
The penetration difference between the X- and C-band in the SRTM Digital Elevation Model (DEM) should be studied in other forest types
Summary
This study presents an approach for mapping the net forest change during a 12-year period, and the associated CO2 emissions, for the country of Uganda using Interferometric SAR (InSAR). The background for this is the need for forest monitoring due to its significance for environmental issues, in particular because deforestation and forest degradation in the tropics contributes with considerable fractions of anthropogenic greenhouse gas emissions [1,2]. The present study is based on two existing datasets having global or near-global coverage and being 12 years apart, which means that the approach has the potential to be applied near-globally and covering a time period long enough to be robust against short-term variations. Mapping and quantification of forest carbon changes are required to improve the understanding of the global carbon cycle and budget, where forests contribute with major, yet uncertain, stocks and fluxes [5]
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