Observation data of melting water flow in Jiagang snow mountain of Selinco Watershed (2016)

Observation data of melting water flow in Jiagang snow mountain of Selinco Watershed (2016)


This dataset is the spatial distribution map of the marshes in the source area of the Yellow River near the Zaling Lake-Eling Lake, covering an area of about 21,000 square kilometers. The data set is classified by the Landsat 8 image through an expert decision tree and corrected by manual visual interpretation. The spatial resolution of the image is 30m, using the WGS 1984 UTM projected coordinate system, and the data format is grid format. The image is divided into five types of land, the land type 1 is “water body”, the land type 2 is “high-cover vegetation”, the land type 3 is “naked land”, and the land type 4 is “low-cover vegetation”, and the land type 5 is For "marsh", low-coverage vegetation and high-coverage vegetation are distinguished by vegetation coverage. The threshold is 0.1 to 0.4 for low-cover vegetation and 0.4 to 1 for high-cover vegetation.


File naming and required software

In Excel table format.


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

Zhang, Y. (2018). Observation data of melting water flow in Jiagang snow mountain of Selinco Watershed (2016). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Hydro.tpdc.270024. CSTR: 18406.11.Hydro.tpdc.270024. (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

Second Tibetan Plateau Scientific Expedition Program

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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Keywords
Geographic coverage
East: 104.00 West: 73.00
South: 25.00 North: 40.00
Details
  • File size: 0.01 MB
  • Views: 5392
  • Downloads: 41
  • Access: Requestable
  • Temporal coverage: 2016-09-27 To 2016-09-27
  • Updated time: 2021-04-20
Contacts
: ZHANG Yinsheng  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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