Monitoring forest carbon in a Tanzanian woodland using interferometric SAR: a novel methodology for REDD+

摘要: REDD+ implementation requires establishment of a system for measuring, reporting and verification (MRV) forest carbon changes. A challenge MRV is the lack satellite based methods that can track not only deforestation, but also degradation growth, as well historical data serve basis reference emission level. Working in miombo woodland Tanzania, we here aim at demonstrating novel 3D approach on interferometric processing radar imagery (InSAR). Forest changes are derived from canopy height obtained InSAR, i.e. decreases represent loss logging increases sequestration through growth. We fitted model above-ground biomass (AGB) against InSAR height, used this to convert The relationship between AGB was weak, individual plots were widely scattered around fit. However, consider be unique feasible large-scale efforts because low accuracy attributable partly small other limitations set, random pixel-to-pixel variation trunk forms. Further provides categories change. combination Shuttle RADAR Topography Mission (SRTM) TanDEM-X mission provided both historic baseline change period 2000–2011, annual 2011–2012. set promising tool REDD+. temporal seen by corresponded with, largely supplemented, Landsat data.