Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 539–553, 2020
Earth Syst. Sci. Data, 12, 539–553, 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 et al.

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Cited articles

Aguilar, M. A., del Mar Saldana, M., and Aguilar, F. J.: Assessing geometric accuracy of the orthorectification process from GeoEye-1 and WorldView-2 panchromatic images, Int. J. Appl. Earth Obs., 21, 427–435, 2013. 
Aksakal, S. K.: Geometric accuracy investigations of SEVIRI high resolution visible (HRV) level 1.5 Imagery, Remote Sens., 5, 2475–2491, 2013. 
Aksakal, S. K., Neuhaus, C., Baltsavias, E., and Schindler, K.: Geometric quality analysis of AVHRR orthoimages, Remote Sens., 7, 3293–3319, 2015. 
Alcaraz-Segura, D., Chuvieco, E., Epstein, H. E., Kasischke, E. S., and Trishchenko, A.: Debating the greening vs. browning of the North American boreal forest: differences between satellite datasets, Glob. Change Biol., 16, 760–770, 2010. 
Arnold, G. T., Hubanks, P. A., Platnick, S., King, M. D., and Bennartz, R.: Impact of Aqua misregistration on MYD06 cloud retrieval properties, Proceeding of MODIS Science Team Meeting, Washington, DC, USA, 26–28 January 2010. 
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.