Spatial Prediction Method for Digital Soil Mapping

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.

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Publication Details

Journal
Journal of innovation and development
Published
2024-11-19
DOI
https://doi.org/10.54097/yva4ms17
Primary Topic
Image Processing and 3D Reconstruction
Type
article
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article

Spatial Prediction Method for Digital Soil Mapping

Lixia Chen, Hui Lv
Journal of innovation and development
Image Processing and 3D Reconstruction
article

Spatial Prediction Method for Digital Soil Mapping

Lixia Chen, Hui Lv
article en

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.

Journal of innovation and developmentVol. 9(1)
Zhengzhou Business University (CN)
Life in Land
Openalex Percentile: Top 80%
Image Processing and 3D Reconstruction
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