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ESSD | Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 539–553, 2020
https://doi.org/10.5194/essd-12-539-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 12, 539–553, 2020
https://doi.org/10.5194/essd-12-539-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (06 Nov 2019)  Author's response
ED: Publish as is (03 Feb 2020) by Prasad Gogineni
AR by Xiaodan Wu on behalf of the Authors (06 Feb 2020)  Author's response    Manuscript
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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.
Based on the idea of the co-registration method, this study proposes a method named...
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