Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-539-2020
https://doi.org/10.5194/essd-12-539-2020
Data description paper
 | 
05 Mar 2020
Data description paper |  | 05 Mar 2020

Geometric accuracy assessment of coarse-resolution satellite datasets: a study based on AVHRR GAC data at the sub-pixel level

Xiaodan Wu, Kathrin Naegeli, and Stefan Wunderle

Viewed

Total article views: 3,597 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,679 842 76 3,597 78 84
  • HTML: 2,679
  • PDF: 842
  • XML: 76
  • Total: 3,597
  • BibTeX: 78
  • EndNote: 84
Views and downloads (calculated since 27 Aug 2019)
Cumulative views and downloads (calculated since 27 Aug 2019)

Viewed (geographical distribution)

Total article views: 3,597 (including HTML, PDF, and XML) Thereof 3,031 with geography defined and 566 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
Based on the idea of the co-registration method, this study proposes a method named correlation-based patch matching method (CPMM), which is capable of quantifying the geometric accuracy of coarse-resolution satellite data. The assessment is conducted at the sub-pixel level and not affected by the mixed-pixel problem. It is not limited to a certain landmark such as a lake or sea shoreline and thus enables a more comprehensive assessment.
Altmetrics
Final-revised paper
Preprint