Long-term surface soil freeze-thaw states dataset of the Three-River_Source National Park using the dual-index algorithm (1979-2015)


This data set uses SMMR (1979-1987), SSM / I (1987-2009) and ssmis (2009-2015) daily brightness temperature data, which is generated by double index (TB V, SG) freeze-thaw discrimination algorithm. The classification results include four types: frozen surface, melted surface, desert and water body. The data covers the source area of three rivers, with a spatial resolution of 25.067525 km. It is stored in geotif format in the form of ease grid projection. Pixel values represent the state of freezing and thawing: 1 for freezing, 2 for thawing, 3 for deserts, 4 for water bodies. Because all TIF files in the dataset describe the scope of Sanjiangyuan National Park, the row and column number information of these files is unchanged, and the excerpt is as follows (where the unit of cellsize is m):

ncols 52

nrows 28

cellsize 25067.525

nodata_value 0


Data file naming and use method

Data naming: data folders are established by year, and each folder stores the daily surface freeze-thaw classification results of the year. The folder is named year (1979), and the data is named year + Julian day (1979002).


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

JIN Rui. Long-term surface soil freeze-thaw states dataset of the Three-River_Source National Park using the dual-index algorithm (1979-2015). National Tibetan Plateau Data Center, 2019. doi: 10.11888/Geocry.tpdc.270928. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Jin,R, Zhang,T,Y, Li,X, Yang,X,G, Ran,Y,H.(2015). Mapping surface soil freeze-thaw cycles in china based on smmr and ssm/i brightness temperatures from 1978 to 2008. Arctic, Antarctic, and Alpine Research, 47(2), 213-229.( View Details | Bibtex)

2. Xie, Y.M., Jin, R, & Yang, X.G. (2013). Algorithm development of monitoring daily near surface freeze/thaw cycles using amsr-e brightness temperatures. Remote Sensing Technology and Application, 28(2).( View Details | Download | 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 servglacials 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.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


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


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Keywords
Geographic coverage
East: 102.58 West: 89.15
South: 30.79 North: 37.38
Detail
  • Temporal resolution: Yearly
  • Spatial resolution: 1km - 10km
  • File size: 451 MB
  • Browse count: 1,413 Times
  • Apply count: 13 Times
  • Share mode: online
  • Temporal coverage: 1979-01-01 To 2015-12-31
  • Updated time: 2019-12-21
Contact Information
: JIN Rui  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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