Articles | Volume 16, issue 8
https://doi.org/10.5194/essd-16-3795-2024
https://doi.org/10.5194/essd-16-3795-2024
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: 2,252 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,770 417 65 2,252 56 67
  • HTML: 1,770
  • PDF: 417
  • XML: 65
  • Total: 2,252
  • BibTeX: 56
  • EndNote: 67
Views and downloads (calculated since 26 Feb 2024)
Cumulative views and downloads (calculated since 26 Feb 2024)

Viewed (geographical distribution)

Total article views: 2,252 (including HTML, PDF, and XML) Thereof 2,234 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Jan 2025
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.
Altmetrics
Final-revised paper
Preprint