Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 12, issue 1
Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-539-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-539-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 1
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: 4,628 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,424 1,095 109 4,628 135 168
  • HTML: 3,424
  • PDF: 1,095
  • XML: 109
  • Total: 4,628
  • BibTeX: 135
  • EndNote: 168
Views and downloads (calculated since 27 Aug 2019)
Cumulative views and downloads (calculated since 27 Aug 2019)

Viewed (geographical distribution)

Total article views: 4,628 (including HTML, PDF, and XML) Thereof 4,031 with geography defined and 597 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Nov 2025
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint