Articles | Volume 15, issue 4
https://doi.org/10.5194/essd-15-1577-2023
https://doi.org/10.5194/essd-15-1577-2023
Data description paper
 | 
12 Apr 2023
Data description paper |  | 12 Apr 2023

A global long-term, high-resolution satellite radar backscatter data record (1992–2022+): merging C-band ERS/ASCAT and Ku-band QSCAT

Shengli Tao, Zurui Ao, Jean-Pierre Wigneron, Sassan Saatchi, Philippe Ciais, Jérôme Chave, Thuy Le Toan, Pierre-Louis Frison, Xiaomei Hu, Chi Chen, Lei Fan, Mengjia Wang, Jiangling Zhu, Xia Zhao, Xiaojun Li, Xiangzhuo Liu, Yanjun Su, Tianyu Hu, Qinghua Guo, Zhiheng Wang, Zhiyao Tang, Yi Y. Liu, and Jingyun Fang

Viewed

Total article views: 4,953 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,875 984 94 4,953 239 75 79
  • HTML: 3,875
  • PDF: 984
  • XML: 94
  • Total: 4,953
  • Supplement: 239
  • BibTeX: 75
  • EndNote: 79
Views and downloads (calculated since 15 Aug 2022)
Cumulative views and downloads (calculated since 15 Aug 2022)

Viewed (geographical distribution)

Total article views: 4,953 (including HTML, PDF, and XML) Thereof 4,787 with geography defined and 166 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
We provide the first long-term (since 1992), high-resolution (8.9 km) satellite radar backscatter data set (LHScat) with a C-band (5.3 GHz) signal dynamic for global lands. LHScat was created by fusing signals from ERS (1992–2001; C-band), QSCAT (1999–2009; Ku-band), and ASCAT (since 2007; C-band). LHScat has been validated against independent ERS-2 signals. It could be used in a variety of studies, such as vegetation monitoring and hydrological modelling.
Altmetrics
Final-revised paper
Preprint