Sensitivity analysis of the GEMS soil organic carbon model to land cover land use classification uncertainties under different climate scenarios in senegal

[摘要] Spatially explicit land cover land use (LCLU) changeinformation is needed to drive biogeochemical models that simulate soilorganic carbon (SOC) dynamics. Such information is increasingly being mappedusing remotely sensed satellite data with classification schemes anduncertainties constrained by the sensing system, classification algorithmsand land cover schemes. In this study, automated LCLU classification ofmulti-temporal Landsat satellite data were used to assess the sensitivity ofSOC modeled by the Global Ensemble Biogeochemical Modeling System (GEMS).The GEMS was run for an area of 1560 km² in Senegal under three climatechange scenarios with LCLU maps generated using different Landsatclassification approaches. This research provides a method to estimate thevariability of SOC, specifically the SOC uncertainty due to satelliteclassification errors, which we show is dependent not only on the LCLUclassification errors but also on where the LCLU classes occur relative tothe other GEMS model inputs.

[学科分类] 地球化学与岩石