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

Wu, Xiaodan; Naegeli, Kathrin; Wunderle, Stefan

doi:https://doi.org/10.5194/essd-12-539-2020

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

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Final revised paper (published on 05 Mar 2020)
Preprint (discussion started on 27 Aug 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of "Geometric accuracy assessment of global coarse resolution satellite data sets: a study based on AVHRR GAC data at the subpixel level"', Anonymous Referee #1, 05 Sep 2019
- AC1: 'Response to Referee #1', Xiaodan Wu, 01 Nov 2019
RC2: 'Review of Wu et al. manuscript', Anonymous Referee #2, 17 Sep 2019
- AC2: 'Response to Referee #2', Xiaodan Wu, 01 Nov 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Xiaodan Wu on behalf of the Authors (01 Nov 2019) Manuscript

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

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.