Rule-based land cover map for the Heihe River basin (2009)

Rule-based land cover map for the Heihe River basin (2009)


This data is produced using knowledge rule-based land cover classification methods. It is a set of USGS global land cover classification standards that can be used in atmospheric models and land surface process models of land cover types in the Heihe River Basin.

The data covers the upper, middle, and lower reaches of the Heihe River Basin. The data uses Albers Conical Equal Area projection with a spatial resolution of 1 km. It is an ASCII file containing the land cover classification code and named: Rule_Based_Lulc_of_HRB2009.asc. You can directly use a text program (such as Notepad) to open and view the file, you can also input it in ArcGIS for other operations.

The NOAH land surface process parameter table and parameter table description matched with the data are provided. Users can refer to this parameter table to apply the data to the land surface process model. The two files are USGS_LULC_NOAHVEGPARM.TBL and NOAHVEGPARM_documentation.txt, both can be opened by the text program (such as Notepad).


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

Nan, Z. (2013). Rule-based land cover map for the Heihe River basin (2009). A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.005.2013.db. CSTR: 18406.11.heihe.005.2013.db. (Download the reference: RIS | Bibtex )

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


Support Program

(No:KZCX2-YW-Q10-1)

(No:2008AA12Z205)

(No:91025001)

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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: 102.20 West: 97.30
South: 37.73 North: 42.70
Details
  • File size: 0.9 MB
  • Views: 10740
  • Downloads: 496
  • Access: Open Access
  • Temporal coverage: 2018-11-20 To 2018-11-20
  • Updated time: 2021-04-19
Contacts
: NAN Zhuotong  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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