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Mapping Soil Carbon Using Collocated Cokriging with Wetness Index

机译:使用带湿度指数的协同克里格图绘制土壤碳

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Secondary information, especially exhaustive secondary information, is widely used in soil carbon mapping. However, the secondary information used in present methods is limited to analytical data and simple topographical indices derived from DEM, which lack the power to account for the immigration and distribution of soil carbon in cultivated fields. Hydrological information is more closely related to the immigration and distribution of soil carbon and so should be considered for soil carbon mapping. An exploration of several indices shows that the wetness index (WI, an index used to quantify the influence of hydrological process based on local topography), which incorporates topographical and hydrological information, using Collocated Cokriging (CC) yields the best result. This trial indicates that CC (with WI-md) not only significantly reduces estimation uncertainties but also reveals more details of the distribution of soil carbon.
机译:次要信息,尤其是详尽的次要信息,被广泛用于土壤碳测绘。但是,当前方法中使用的辅助信息仅限于分析数据和源自DEM的简单地形指数,这些数据和不足以解释土壤碳在耕地中的迁移和分布。水文信息与土壤碳的迁移和分布更紧密相关,因此在进行土壤碳测绘时应考虑这些信息。对多个指数的探索表明,湿度指数(WI,一种用于基于局部地形对水文过程影响进行量化的指数)结合了地形和水文信息,并使用协同定位克里金法(CC)产生了最佳结果。该试验表明,CC(带有WI-md)不仅显着降低了估计的不确定性,而且还揭示了土壤碳分布的更多细节。

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