Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 8
Articles | Volume 16, issue 8
https://doi.org/10.5194/essd-16-3795-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3795-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 8
Data description paper
 | 
27 Aug 2024
Data description paper |  | 27 Aug 2024

Generation of global 1 km all-weather instantaneous and daily mean land surface temperatures from MODIS data

Bing Li, Shunlin Liang, Han Ma, Guanpeng Dong, Xiaobang Liu, Tao He, and Yufang Zhang

Viewed

Total article views: 2,030 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,584 381 65 2,030 54 64
  • HTML: 1,584
  • PDF: 381
  • XML: 65
  • Total: 2,030
  • BibTeX: 54
  • EndNote: 64
Views and downloads (calculated since 26 Feb 2024)
Cumulative views and downloads (calculated since 26 Feb 2024)

Viewed (geographical distribution)

Total article views: 2,030 (including HTML, PDF, and XML) Thereof 2,024 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
This study describes 1 km all-weather instantaneous and daily mean land surface temperature (LST) datasets on the global scale during 2000–2020. It is the first attempt to synergistically estimate all-weather instantaneous and daily mean LST data on a long  global-scale time series. The generated datasets were evaluated by the observations from in situ stations and other LST datasets, and the evaluation indicated that the dataset is sufficiently reliable.
Read more
Altmetrics
Final-revised paper
Preprint