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

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))

File naming and required software

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

Data Citations Data citation guideline What's data citation?
Cite as:

Zhang, G. (2017). Digital soil mapping dataset of hydrological parameters in the Heihe River Basin (2012). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Soil.tpdc.270591. CSTR: 18406.11.Soil.tpdc.270591. (Download the reference: RIS | Bibtex )

Related Literatures:

1. 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.

Copyright & License

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

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Geographic coverage
East: 101.99 West: 97.07
South: 37.69 North: 42.69
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 464 MB
  • Views: 5083
  • Downloads: 20
  • Access: Requestable
  • Temporal coverage: 2012-01-10 To 2013-01-09
  • Updated time: 2021-04-19
: ZHANG Ganlin   宋效东  

Distributor: A Big Earth Data Platform for Three Poles


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