The soil texture dataset of the Heihe River Basin (2011) is compiled by LIU Chao et al. (2011) by using the SOLIM model. Based on the famous Jenny equation of soil science, and according to the environmental factors such as climate, biology, topography and parent material, knowledge mining and fuzzy logic are combined on the basis of existing soil texture maps and soil profiles in Heihe River Basin. It is produced and integrated with thematic maps of glaciers and lakes. According to the different characteristics of the six ecological zones in Heihe River Basin, different mapping methods are used in the upper, middle and lower reaches. According to the different characteristics of six ecological zones in Heihe River Basin, different mapping methods are used in the upper, middle and lower reaches. The data is in grid format with 1KM spatial resolution and WGS-84 projection. Soil texture attributes and categories represent 0-30 cm topsoil texture attributes, derived from depth-weighted averages. The texname in the attribute table indicates the soil texture type name. Sandrange, siltrange, and clayrange respectively represent the sand, powder, and clay content ranges in the USDA soil triangle. Sandaverage, siltaverage and clayaverage are taken from the measured soil profiles, the average content of sand, silt and clay particles as the sand, silt and clay content of the soil type. (Note: The soil particle content of clay loam is derived from the soil quality map of Beijing Normal University). The soil texture classification standard is USDA, the sand grain size is defined as (2~0.05mm), the silt particle size is (0.05~0.002mm) and the clay size is defined as (<0.002mm).

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, C. (2013). Soil texture dataset of the Heihe River Basin (2011). A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.023.2013.db. CSTR: 18406.11.heihe.023.2013.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. LIU Chao,LU Ling,HU Xiao-li. Comparison Analysis on Digital Soil Texture Mapping in an area of Zhangye,Heihe River Basin. Remote Sensing Technology and Application, 2011, 26(2): 177-185.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Li Xin, Cheng Guodong, Wu Lizong. Digital Heihe River Basin. 1 ： An Information Infrastructure for the Watershed Science. Advances in Earth Science, 2010, 25(3): 297-305. (View Details )

2.LI Xin, WU Lizong, MA Mingguo, GE Yingchun, RAN Youhua, WANG Liangxu, NAN Zhuotong （ Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China） (View Details )

3.Li, X., Nan, Z.T., Cheng, G.D., Ding, Y.J., Wu, L.Z., Wang, L.X., Wang, J., Ran, Y.H., Li, H.X., Pan, X.D., & Zhu, Z.M. (2011). Toward an improved data stewardship and service for environmental and ecological science data in west China. International Journal of Digital Earth, 4(4): 347-359. DOI: 10.1080/17538947.2011.558123. (View Details | Download )

4.LIU Chao (2011). Soil texture mapping in Heihe River Basin based on fuzzy information fusion [D], Lanzhou, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Chinese Academy of Sciences. (View Details )

Support Program

(No:91025001)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)