Sentinels supporting carbon estimates and REDD+

The focus of SENSE-CARBON was on the development of new methods for the comprehensive monitoring of land cover, land use and their changes, which serve a better characterization of carbon stocks, for example within the framework of REDD+. The regional focus of the project was on the Amazon region of Brazil. The improved characterization of vegetation gradients and the derivation of large-scale and high-resolution REDD-relevant classes by means of a synergetic use of different data sets and dense time series were of crucial importance.
The overall goal of the project was to close methodological gaps in the operational development of REDD-relevant classifications. For this purpose, the SENSE-VCARBON team relied on data archives as well as new acquisitions of ASAR, RADARSET-2, ALOS-2, TerraSAR-X, TandDEM-X, RapdiEye and Landsat images to explore the potential of the Sentinel-1 and Sentinel-2 data.