三江源国家公园星空地一体化生态监测数据平台
三江源国家公园数据分析生产推送系统
Long-term surface soil freeze-thaw states dataset of the Three-River_Source National Park using the dual-index algorithm (1979-2015)

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

Copyright & License

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).

References literature

[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. (查看)

[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). (查看)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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.

Related Resources

No record

No record

No record

Comments

Sign In to add comments

Keywords
Geographic coverage
Details
  • File size: 451.0 MB
  • Browse count:10272次
  • Time range:1979-01-22 至 2016-01-21
  • Access: online
下载数据
Contacts

Resource Provider: 晋锐  

导出元数据
Word