• 论文 •

### Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples

ZHANG Shujie1,2, ZHU Axing1,3, LIU Wenliang4, LIU Jing3, YANG Lin1

1. 1. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Department of Geography, University of Wisconsin, Madison 53706, U.S.A.;
4. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
• 收稿日期:2012-11-28 修回日期:2013-02-27 出版日期:2013-11-10 发布日期:2013-11-13
• 通讯作者: LIU Wenliang. E-mail: wlliu@irsa.ac.cn E-mail:wlliu@irsa.ac.cn
• 基金资助:

Under the auspices of Program of International Science & Technology Cooperation, Ministry of Science and Technology of China (No. 2010DFB24140), National Natural Science Foundation of China (No. 41023010, 41001298), National High Technology Research and Development Program of China (No. 2011AA120305)

### Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples

ZHANG Shujie1,2, ZHU Axing1,3, LIU Wenliang4, LIU Jing3, YANG Lin1

1. 1. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Department of Geography, University of Wisconsin, Madison 53706, U.S.A.;
4. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
• Received:2012-11-28 Revised:2013-02-27 Online:2013-11-10 Published:2013-11-13
• Contact: LIU Wenliang. E-mail: wlliu@irsa.ac.cn E-mail:wlliu@irsa.ac.cn
• Supported by:

Under the auspices of Program of International Science & Technology Cooperation, Ministry of Science and Technology of China (No. 2010DFB24140), National Natural Science Foundation of China (No. 41023010, 41001298), National High Technology Research and Development Program of China (No. 2011AA120305)

Soil type maps at the scale of 1︰1 000 000 are used extensively to provide soil spatial distribution information for soil erosion assessment and watershed management models in China. However, the soil property maps produced through conventional direct linking method usually suffer low accuracy as well as the lack of spatial details within a soil type polygon. This paper presents an effective method to produce detailed soil property map based on representative samples which were extracted from each polygon on the 1︰1 000 000 soil type map. The representative sample of each polygon is defined as the location that can represent the largest area within the polygon. The representativeness of a candidate sample is determined by calculating the soil-forming environment condition similarities between the sample and other locations. Once the representative sample of each polygon has been chosen, the property values of the existing typical samples are assigned to the corresponding representative samples with the same soil type. Finally, based on these representative samples, the detailed soil property map could be produced by using existing digital soil mapping methods. The case study in XuanCheng City, Anhui Province of China, demonstrated the proposed method could produce soil property map at a higher level of spatial details and accuracy: 1) The soil organic matter (SOM) map produced based on the representative samples can not only depict the detailed spatial distribution of SOM within a soil type polygon but also largely reduce the abrupt change of soil property at the boundaries of two adjacent polygons. 2) The Root Mean Squared Error (RMSE) of the SOM map based on the representative samples is 1.61, and it is 1.37 for the SOM map produced by using conventional direct linking method. Therefore, the proposed method is an effective approach to produce spatial detailed soil property map with higher accuracy for environment simulation models.

Abstract:

Soil type maps at the scale of 1︰1 000 000 are used extensively to provide soil spatial distribution information for soil erosion assessment and watershed management models in China. However, the soil property maps produced through conventional direct linking method usually suffer low accuracy as well as the lack of spatial details within a soil type polygon. This paper presents an effective method to produce detailed soil property map based on representative samples which were extracted from each polygon on the 1︰1 000 000 soil type map. The representative sample of each polygon is defined as the location that can represent the largest area within the polygon. The representativeness of a candidate sample is determined by calculating the soil-forming environment condition similarities between the sample and other locations. Once the representative sample of each polygon has been chosen, the property values of the existing typical samples are assigned to the corresponding representative samples with the same soil type. Finally, based on these representative samples, the detailed soil property map could be produced by using existing digital soil mapping methods. The case study in XuanCheng City, Anhui Province of China, demonstrated the proposed method could produce soil property map at a higher level of spatial details and accuracy: 1) The soil organic matter (SOM) map produced based on the representative samples can not only depict the detailed spatial distribution of SOM within a soil type polygon but also largely reduce the abrupt change of soil property at the boundaries of two adjacent polygons. 2) The Root Mean Squared Error (RMSE) of the SOM map based on the representative samples is 1.61, and it is 1.37 for the SOM map produced by using conventional direct linking method. Therefore, the proposed method is an effective approach to produce spatial detailed soil property map with higher accuracy for environment simulation models.