MRV4SOC
MRV4SOC aims at designing a comprehensive and robust Tier 3 approach accounting for changes in as many C pools as possible to estimate green-house gas (GHG) and full Carbon (C) budgets, couple C and Nitrogen (N) cycles, quantify C accumulation, and assess the results of traditional management practices and C farming. MRV4SOC seeks to assimilate high-quality in-situ and remote sensing (RS) data into geostatistical and process-based models in 14 Demo Sites (DS) covering 9 land use/cover (LULC) classes. DS are located in different European and Associated Countries with heterogeneous abiotic and biotic conditions.
The MRV4SOC methodology will account for different spatial levels (i.e., sub-landscape and landscape) and temporal scales (i.e., long-term experiments, new observations, and future climate change scenarios) to assess scalability, robustness, transparency, scalability, standardisation, and cost-effectiveness towards a European Union (EU) monitoring, reporting, and verification (MRV) framework for the land sector. The proposed approach will help to establish reliable and transparent C farming credits. Since the soil is the largest carbon pool of the terrestrial Earth, changes of the SOC content has a huge influence on climate change processes.
The MF-PBA provides advanced temporal soil reflectance composites and additional soil cover information by exploiting the hyperspectral archives of the EnMAP missions. DLR is using and enhancing operational processors such as SCMaP developed for multispectral sensors and fractional vegetation cover (fCover), designed to provide soil cover information from hyperspectral data.