Spatial Prediction Method for Digital Soil Mapping

Authors

  • Lixia Chen
  • Hui Lv

DOI:

https://doi.org/10.54097/yva4ms17

Keywords:

Digital Soil Mapping, Spatial Distribution, DSM.

Abstract

The spatial distribution of soil information is the basic data required for ecological hydrological simulation, global change research, and resource and environmental management. Digital soil mapping (DSM) is an efficient way to obtain and express soil spatial distribution information. This paper introduces the theories and principles of DSM, compares the principles, characteristics, and applicable conditions of spatial prediction methods widely used in DSM, and proposes a selection strategy for spatial prediction methods for DSM, which provides a reference for the promotion of DSM.

Downloads

Download data is not yet available.

References

[1] Hudson B D. The soil survey as paradigm-based science[J]. Soil Science Society of America Journal, 1992, 56(3): 836-841.

[2] McBratney A B, Mendonça Santos M L, Minasny B. On digital soil mapping[J]. Geoderma, 2003, 117(1-2): 3-52.

[3] Hengl T, de Jesus J M, Heuvelink G B M, et al. SoilGrids250m: Global gridded soil information based on machine learning[J]. PLoS One, 2017, 12(2): e0169748, doi:10.1371/journal.pone.0169748.

[4] Jenny H. Factors of soil formation: A system of quantitative pedology[M]. New York, NY: McGraw-Hill, 1941.

[5] Zhu A X, Liu J, Du F, et al. Predictive soil mapping with limited sample data[J]. European Journal of Soil Science, 2015, 66(3): 535-547.

[6] Tobler W R. A computer movie simulating urban growth in the Detroit region[J]. Economic Geography, 1970, 46(S1): 234-240.

[7] Wilding L P, Jones R B, Schafer G M. Variation of soil morphological properties within miami, Celina, and Crosby mapping units in West-Central Ohio[J]. Soil Science Society of America Journal, 1965, 29(6): 711-717.

[8] Zhu A X, Li B L, Pei T, et al. Jingxi shuzi turang pucha moxing yu fangfa[M]. Beijing, China: Science Press, 2008.

Downloads

Published

19-11-2024

Issue

Section

Articles

How to Cite

Chen, L., & Lv, H. (2024). Spatial Prediction Method for Digital Soil Mapping. Journal of Innovation and Development, 9(1), 10-12. https://doi.org/10.54097/yva4ms17