This dataset contains monthly and daily 0.01°×0.01° (2018) LST products in Qilian Mountain Area. The dataset was produced based on MYD21A1 LST products at a resolution of 0.01° along with some auxiliary datasets. The auxiliary datasets include Lat/Lon and the Julian Day information. MYD21A1 is the official LST product of MODIS, and the data is divided into day and night, using TES algorithm. Download URL: https://urs.earthdata.nasa.gov.

File naming and required software

File naming convention: yyyymm.tiff (yyyy: year, mm: month); yyyymmdd.tiff (yyyy: year, mm: month, DD: day).

Data Citations Data citation guideline What's data citation?

Cite as:

Li, H. (2019). Daily 0.01 °× 0.01 ° surface temperature data (v1.0) based on myd21a1 temperature data in Qilian Mountain Area (2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270272. CSTR: 18406.11.Meteoro.tpdc.270272. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Li, H., Sun, D.L., Yu, Y.Y., Wang, H.Y., Liu, Y.L., Liu, Q.H., Du, Y.M., Wang, H.S., & Cao, B. (2014). Evaluation of the VIIRS and MODIS LST products in an arid area of Northwest China. Remote Sensing of Environment, 142, 111-121. doi:10.1016/j.rse.2013.11.014.( View Details | Bibtex)

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

Support Program

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

Copyright & License

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