Global daily 0.05 ° spatiotemporal continuous land surface temperature dataset (2002-2020)
(1) Global 0.05° spatiotemporal continuous ideal clear-sky land surface temperature dataset, file naming:
<MOD11C1(MYD11C1)_YYYYDDD_Clear-sky>.h5, MOD11C1(MYD11C1) represents the MODIS LST product of Terra (Aqua) sun-synchronous satellite, <YYYY> is the year, <DDD> represents the day of year, and <Clear-sky> represents it is ideal clear-sky MODIS LST product.
(2) Global 0.05° spatiotemporal continuous all-weather land surface temperature dataset, file naming:
<MOD11C1(MYD11C1)_YYYYDDD_All-weather>.h5, MOD11C1(MYD11C1) represents the MODIS LST product of Terra (Aqua) sun-synchronous satellite, <YYYY> is the year, <DDD> represents the day of year, and < All-weather > represents it is all-weather MODIS LST product.
How to use:
The data can be read in various programming languages such as Matlab, Python, IDL, etc., and can also be visualized in Panoply. When reading data from a scientific data set, it needs to be multiplied by its corresponding scale factor. For details, please refer to the description documentation.
Zhao, T., Yu, P. (2021). Global daily 0.05 ° spatiotemporal continuous land surface temperature dataset (2002-2020). National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.271663. CSTR: 18406.11.Meteoro.tpdc.271663. (Download the reference： RIS | Bibtex )Related Literatures:
1. Yu, P., Zhao, T.J, Shi, J.C., Ran, Y.H., Jia, L., Ji, D.B., & Xue, H.Z. (2022). Global spatiotemporally continuous MODIS land surface temperature dataset. Scientific Data, 9, 143.( View Details | Download | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)
Strategic leading science and technology project of Chinese Academy of Sciences (category A)
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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)
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