Digital soil mapping dataset of hydrological parameters in the Heihe River Basin (2012)


According to the principle of soil landscape model, the key hydrological parameters spatial distribution map data products are made by digital soil mapping method. The source data of this data set comes from the soil profile data integrated by the major research plan integration project of Heihe River Basin (soil data integration and soil information product generation of Heihe River Basin, 91325301).

Scope: Heihe River Basin;

Projection: WGS · 1984 · Albers / Albers · conic · equal · area;

Spatial resolution: 90m;

Data format: TIFF;

Data content: spatial distribution of saturated water content, field water capacity, wilting water content and saturated conductivity

Prediction method: enhanced regression tree

Environmental variables: main soil forming factors

Dataset content:

Pr_0kpsm.tif: saturated water content (unit:%)

Pr_33kp SM. TIF: field capacity (unit:%)

X1500kp sm.tif: wilting water content (unit:%)

SHC sm.tif: saturated hydraulic conductivity (unit: KS / (mm · min-1))


Data file naming and use method

The data is stored in grid img format and can be read by remote sensing software such as arcgi and QGIS


Required Data Citation View Data Cite Help About Data Citation
Cite as:

ZHANG Ganlin, SONG Xiaodong. Digital soil mapping dataset of hydrological parameters in the Heihe River Basin (2012). A Big Earth Data Platform for Three Poles, 2017. doi: 10.11888/Soil.tpdc.270591. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Song, X.D., Brus, D.J., Liu, F., Li, D.C., Zhao, Y.G., Yang, J.L., Zhang, G.L. (2016). Mapping soil organic carbon content by geographically weighted regression: A case study in the Heihe River Basin, China. Geoderma, 261, 11–22.( View Details | Bibtex)

2. Song, X.D., Brus, D.J., Liu, F., Li, D.C., Zhao, Y.G., Yang, J.L., Zhang, G.L. (2016). Mapping soil organic carbon content by geographically weighted regression: A case study in the Heihe River Basin, China. Geoderma, 261: 11–22.( View Details | Bibtex)

3. Yang, R.M., Zhang, G.L, Liu, F., Lu, Y.Y., Yang, F., Yang, F., Yang, M., Zhao, Y.G., Li, D.C. (2016). Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem. Ecological Indicators, 60, 870–878.( View Details | Bibtex)

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


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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)


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Keywords
Geographic coverage
East: 101.99 West: 97.07
South: 37.69 North: 42.69
Detail
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 464 MB
  • Browse count: 2,231 Times
  • Apply count: 2 Times
  • Share mode: offline
  • Temporal coverage: 2012-01-03 To 2013-01-02
  • Updated time:
Contact Information
: ZHANG Ganlin   SONG Xiaodong  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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