Land Surface Temperature Dataset of Typical Stations in Middle Reaches of Heihe River Basin Based on UAV Remote Sensing(2019-07-09,V1)

Land surface temperature is a critical parameter in land surface energy balance. This dataset provides the monthly land surface temperature of UAV remote sensing for typical ground stations in the middle reaches of Heihe River basin from July to September in 2019. The land surface temperature retrieval algorithm is an improved single-channel algorithm, which was applied to the land surface brightness temperature data obtained by the UAV thermal infrared remote sensing sensor, and finally the land surface temperature data with a spatial resolution of 0.4m was obtained.

File naming and required software

File name: land surface temperature data is stored in TIFF format. The file name is "yyyymmdd"_ XX.tiff ”Where yyyy represents the year, mm represents the month, DD represents the day, and XX represents the site. DM is Daman super station, SD is Zhangye wetland station, Hz is huazhaizi station.
Data reading method: the land surface temperature data is stored in TIFF format, which can be read and displayed by ArcGIS software.

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

Zhou, J., Liu, S., Wang, Z. (2020). Land Surface Temperature Dataset of Typical Stations in Middle Reaches of Heihe River Basin Based on UAV Remote Sensing(2019-07-09,V1). National Tibetan Plateau Data Center, DOI: 10.11888/Ecolo.tpdc.270740. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Li, M., Zhou, J., Peng, Z., Liu, S., Göttsche, F., Zhang, X., Song, L. (2019). Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature. Agricultural and Forest Meteorology, 276–277. View Details | Bibtex)

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

References literature

1.Jacob, F., Gu, X.F., Hanocq, J.-F., Tallet, N., Baret, F. (2003). Atmospheric corrections of single broadband channel and multidirectional airborne thermal infrared data: Application to the ReSeDA experiment. International Journal of Remote Sensing 24, 3269–3290. (View Details )

2.Jiménez-Muñoz, J.C. (2003). A generalized single-channel method for retrieving land surface temperature from remote sensing data. Journal of Geophysical Research 108. (View Details )

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA20100101) [XDA20100101]

Copyright & License

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 (

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

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Geographic coverage
East: 100.45 West: 100.31
South: 38.76 North: 38.98
  • Temporal resolution: Monthly
  • Spatial resolution: <= 1 m
  • File size: 1,229 MB
  • Views: 1,554
  • Downloads: 1
  • Access: Protection period
  • Temporal coverage: 2019-06-08 To 2019-10-07
  • Updated time: 2021-04-19

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: ZHOU Ji   LIU Shaomin   WANG Ziwei  

Distributor: National Tibetan Plateau Data Center


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