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

ZHANG Shujie,  ZHU Axing,  LIU Wenliang,  LIU Jing,  YANG Lin

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文章导航 > Chinese Geographical Science  > 2013 >  23(6): 680-691
ZHANG Shujie, ZHU Axing, LIU Wenliang, LIU Jing, YANG Lin. Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples[J]. 中国地理科学, 2013, 23(6): 680-691. doi: 10.1007/s11769-013-0632-7
引用本文: ZHANG Shujie, ZHU Axing, LIU Wenliang, LIU Jing, YANG Lin. Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples[J]. 中国地理科学, 2013, 23(6): 680-691. doi: 10.1007/s11769-013-0632-7
shu
ZHANG Shujie, ZHU Axing, LIU Wenliang, LIU Jing, YANG Lin. Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples[J]. Chinese Geographical Science, 2013, 23(6): 680-691. doi: 10.1007/s11769-013-0632-7
Citation: ZHANG Shujie, ZHU Axing, LIU Wenliang, LIU Jing, YANG Lin. Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples[J]. Chinese Geographical Science, 2013, 23(6): 680-691. doi: 10.1007/s11769-013-0632-7
shu

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

doi: 10.1007/s11769-013-0632-7
  • 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

基金项目: 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)
详细信息
    通讯作者:

    LIU Wenliang. E-mail: wlliu@irsa.ac.cn

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

  • 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

Funds: 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)
More Information
    Corresponding author: LIU Wenliang. E-mail: wlliu@irsa.ac.cn

  • 摘要: 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.
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出版历程
  • 收稿日期:  2012-11-28
  • 修回日期:  2013-02-27
  • 刊出日期:  2013-11-10

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

doi: 10.1007/s11769-013-0632-7
  • 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
    • 基金项目:  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)
    通讯作者: LIU Wenliang. E-mail: wlliu@irsa.ac.cn
  • 收稿日期: 2012-11-28
  • 修回日期: 2013-02-27
  • 刊出日期: 2013-11-10

摘要: 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.

English Abstract

ZHANG Shujie, ZHU Axing, LIU Wenliang, LIU Jing, YANG Lin. Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples[J]. 中国地理科学, 2013, 23(6): 680-691. doi: 10.1007/s11769-013-0632-7
引用本文: ZHANG Shujie, ZHU Axing, LIU Wenliang, LIU Jing, YANG Lin. Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples[J]. 中国地理科学, 2013, 23(6): 680-691. doi: 10.1007/s11769-013-0632-7
shu
ZHANG Shujie, ZHU Axing, LIU Wenliang, LIU Jing, YANG Lin. Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples[J]. Chinese Geographical Science, 2013, 23(6): 680-691. doi: 10.1007/s11769-013-0632-7
Citation: ZHANG Shujie, ZHU Axing, LIU Wenliang, LIU Jing, YANG Lin. Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples[J]. Chinese Geographical Science, 2013, 23(6): 680-691. doi: 10.1007/s11769-013-0632-7
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