4 February 2011 Mapping spatial variability of soil organic carbon using GIS and geostatistics software
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Proceedings Volume 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering; 77520I (2011) https://doi.org/10.1117/12.889230
Event: International Conference on Photonics and Image in Agricultural Engineering (PIAGENG 2010), 2010, Qingdao, China
Abstract
In this study, the spatial variability of soil organic carbon (SOC) was determined in a typical ecological unit of Dongting Lake plain area, subtropical China. The paper evaluated various data processing methods for evaluating SOC content with normal distributions. The results show that Box-Cox method dampened the effect of outliers and achieved normality in the data set. Indictor kriging method is useful to assess the probability distribution by giving the conditional probability of SOC concentration less than the threshold (20 g/kg). It is suggested that the probability distribution of SOC is also useful for better identifying of key sections for better managing optimal fertilization, developing management practices to enhance SOC storage.
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Peng Lu, Peng Lu, Li Ma, Li Ma, } "Mapping spatial variability of soil organic carbon using GIS and geostatistics software", Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 77520I (4 February 2011); doi: 10.1117/12.889230; https://doi.org/10.1117/12.889230
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