Digital soil mapping dataset of silt content in the Heihe River Basin

Digital soil mapping dataset of silt content in the Heihe River Basin


According to the global soil map. Net standard, the 0-1m soil depth is divided into 5 layers: 0-5cm, 5-15cm, 15-30cm, 30-60cm and 60-100cm. According to the principle of soil landscape model, the spatial distribution data products of soil silt content in different layers are made by using the digital soil mapping method. The American system classification is used as the standard of soil particle classification. 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;

Spatial resolution: 100M;

Data format: TIFF;

Dataset content:

hh_silt_layer1.tif: 0-5cm soil silt content;

hh_silt_layer2.tif: 5-15cm soil silt content;

hh_silt_layer3.tif: 15-30cm soil silt content;

hh_silt_layer4.tif: 30-60cm soil silt content;

hh_silt_layer5.tif:60-100cm soil silt content;


File naming and required software

. TIFF format storage


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

Zhang, G. (2016). Digital soil mapping dataset of silt content in the Heihe River Basin. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Soil.tpdc.270521. CSTR: 18406.11.Soil.tpdc.270521. (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)

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


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


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Keywords
Geographic coverage
East: 104.20 West: 96.10
South: 37.68 North: 42.68
Details
  • File size: 464 MB
  • Views: 7,221
  • Downloads: 5
  • Access: Requestable
  • Temporal coverage: 2018-11-24 To 2018-11-24
  • Updated time: 2021-04-19
Contacts
: 宋效东   ZHANG Ganlin  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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