Y. L. Liu, Z. H. Wu, Y. Y. Chen, B. Z. Wang
2018 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Accurate mapping of soil carbon in low relief areas is of great challenge because of the defect of conventional "soil-landscape" model. Efforts have been made to integrate the land use information in the modelling and mapping of soil organic carbon (SOC), in which the spatial context was ignored. With 256 topsoil samples collected from Jianghan Plain, we aim to (i) explore the land-use dependency of SOC via one-way ANOVA; (ii) investigate the "spillover effect" of land use on SOC content; (iii)
more » ... SOC content; (iii) examine the feasibility of land use types and percentages (obtained with a 200-meter buffer) for soil mapping via regression Kriging (RK) models. Results showed that the SOC of paddy fields was higher than that of woodlands and irrigated lands. The land use type could explain 20.5&amp;thinsp;% variation of the SOC, and the value increased to 24.7&amp;thinsp;% when the land use percentages were considered. SOC was positively correlated with the percentage of water area and irrigation canals. Further research indicated that SOC of irrigated lands was significantly correlated with the percentage of water area and irrigation canals, while paddy fields and woodlands did not show similar trends. RK model that combined land use types and percentages outperformed the other models with the lowest values of RMSE<sub>C</sub> (5.644&amp;thinsp;g/kg) and RMSE<sub>P</sub> (6.229&amp;thinsp;g/kg), and the highest R<sup>2</sup><sub>C</sub> (0.193) and R<sup>2</sup><sub>P</sub> (0.197). In conclusions, land use types and percentages serve as efficient indicators for the SOC mapping in plain areas. Additionally, irrigation facilities contributed to the farmland SOC sequestration especially in irrigated lands.
doi:10.5194/isprs-annals-iv-3-285-2018 fatcat:zguma265srbazlnck7e2pltmn4