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GB/T 47213-2026: Digital soil mapping - Specifications for predictive mapping of soil properties
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Digital soil mapping - Specifications for predictive mapping of soil properties
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Standard similar to GB/T 47213-2026 NY/T 2543 | NY/T 2272 | LY/T 1231 | GB/T 32725 | GB/T 47215 | Basic data | Standard ID | GB/T 47213-2026 (GB/T47213-2026) | | Description (Translated English) | Digital soil mapping - Specifications for predictive mapping of soil properties | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | B10 | | Classification of International Standard | 13.080 | | Word Count Estimation | 18,188 | | Date of Issue | 2026-02-27 | | Date of Implementation | 2026-09-01 | | Issuing agency(ies) | State Administration for Market Regulation, Standardization Administration of China | GB/T 47213-2026: Digital soil mapping - Specifications for predictive mapping of soil properties---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 13.080
CCSB10
National Standards of the People's Republic of China
Digital Soil Mapping
Soil Property Predictive Mapping Standard
Published on 2026-02-27
Implemented on 2026-09-01
State Administration for Market Regulation
The State Administration for Standardization issued a statement.
Table of contents
Preface III
1.Scope 1
2 Normative References 1
3.Terms and Definitions 1
4.Mapping Platform 2
4.1 Hardware Platform 2
4.2 Software Platform 2
5.Drafting Process 2
6.Target soil attribute items 3
7.Mapping resolution 3
8.Soil property sample data 3
8.1 Data Acquisition 3
8.2 Quality Control 3
9.Environmental variable data 4
9.1 Preparation Principles 4
9.2 Data Collection 4
9.3 Data Processing 5
10.Establish a predictive model 5
10.1 Sample Data Construction 5
10.2 Construction of Training Sample Data 5
10.3 Construction of Validation Sample Data 5
10.4 Selection of Optimal Environmental Variables 5
10.5 Selection and Training of Cartographic Models 6
10.6 Calculation of Cartographic Model Accuracy 6
11.Accuracy Evaluation 6
11.1 Selection of the Optimal Cartographic Model 6
11.2 Output Precision Requirements 6
11.3 Model Uncertainty Analysis 7
11.4 Prediction Model Update 7
12 Generate digital soil property maps 7
12.1 Soil Map Generation 7
12.2 Output and Format Requirements 7
Appendix A (Informative) Case Studies of Soil Property Prediction (8)
A.1 Determine the target soil properties 8
A.2 Determine the cartographic resolution 8
A.3 Preparation of Soil Property Sample Data 8
A.4 Preparation of Environmental Variable Data 8
A.5 Establishment of Soil Property Prediction Model 8
A.6 Evaluation of Predictive Mapping Accuracy 9
A.7 Generate digital soil property maps 9
Appendix B (Informative) Soil Attribute Map Data Table 10
References 12
Foreword
This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents".
Drafting.
Please note that some content in this document may involve patents. The issuing organization of this document assumes no responsibility for identifying patents.
This document was proposed by the Ministry of Agriculture and Rural Affairs of the People's Republic of China.
This document is under the jurisdiction of the National Technical Committee on Soil Quality Standardization (SAC/TC404).
This document was drafted by. Nanjing Institute of Soil Science, Chinese Academy of Sciences; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences; Zhejiang Province.
Universities, Jiangsu Provincial Institute of Quality and Standardization, Huazhong Agricultural University, Guangxi University, Tianjin University, Nanjing University.
The main drafters of this document are. Zhang Ganlin, Song Xiaodong, Liu Feng, Shi Zhou, Wu Wenbin, Zhang Weili, Xu Aiguo, Pan Xianzhang, Hou Yueli, and Huang Rong.
Duan Zengqiang, Zhao Yuguo, Guo Long, Sun Xiaolin, Yang Renmin, Yang Lin.
Digital Soil Mapping
Soil Property Predictive Mapping Standard
1 Scope
This document specifies the mapping platform, mapping process, target soil attribute items, mapping resolution, and soil attributes for predictive soil property mapping.
Requirements for sample data, environmental variable data, establishing prediction models, accuracy evaluation, and generating digital soil property maps.
This document is applicable to the compilation of distribution maps of soil properties within a given spatial range.
2 Normative references
The contents of the following documents, through normative references within the text, constitute essential provisions of this document. Dated citations are not included.
For references to documents, only the version corresponding to that date applies to this document; for undated references, the latest version (including all amendments) applies.
This document.
GB/T 17798 Geospatial Data Interchange Format
GB/T 20257.1 National Basic Scale Map Symbols Part 1.1.500, 1.1000, 1.2000 Topographic Map Symbols
GB/T 20257.2 National Basic Scale Map Symbols Part 2.1.5000/1.10000 Topographic Map Symbols
GB/T 20257.3 National Basic Scale Map Symbols Part 3.1.25000, 1.50000, 1.100000 Topographic Map Symbols
GB/T 20257.4 National Basic Scale Map Symbols Part 4.1.250000, 1.500000, 1.1000000 Topography
Diagram
GB/T 32738 Specification for Digitalization of Soil Maps at 1.50000 and 1.100000
GB/T 36501 Soil Mapping 1.25000 1.50000 1.100000 Standard for Color Use and Legend of Soil Maps in China
3 Terms and Definitions
The following terms and definitions apply to this document.
3.1
soil property
The physical, chemical, and biological properties of the solid, liquid, and gas phases in soil.
3.2
Digital Soil Mapping
The process of generating digital soil maps in a computer environment.
3.3
predictive mapping
A quantitative model was established using soil survey samples and their relationship with environmental variables to predict the mapping method for soil spatiotemporal variability.
Note. Raster data is typically used for mapping.
3.4
Soil-forming factors that influence the development and distribution of soil types.
Note. This includes climate, topography, parent material, organisms, time, human activities, etc.
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