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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
05 Mar 2020
Data description paper |
| 05 Mar 2020
| 05 Mar 2020
Geometric accuracy assessment of coarse-resolution satellite datasets: a study based on AVHRR GAC data at the sub-pixel level
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Institute of Geography and Oeschger Center for Climate Change
Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Kathrin Naegeli
Institute of Geography and Oeschger Center for Climate Change
Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Stefan Wunderle
Institute of Geography and Oeschger Center for Climate Change
Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
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Cited
17 citations as recorded by crossref.
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- On the geometric accuracy and stability of MSG SEVIRI images V. Debaecker et al. 10.1016/j.atmosenv.2021.118645
- A Comprehensive Validation Scheme for Satellite-Derived Land Surface Temperature Dataset J. Ma et al. 10.1109/TGRS.2024.3488083
- An Optimal Transport Based Global Similarity Index for Remote Sensing Products Comparison Y. Tan et al. 10.3390/rs14112546
- A Geometric Location Matching Method for Validation of Satellite Products: A Case Study for Albedo R. Tang et al. 10.1109/LGRS.2023.3253550
- A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021 J. Li et al. 10.5194/essd-15-2189-2023
- Unraveling the interplay between NDVI, soil moisture, and snowmelt: A comprehensive analysis of the Tibetan Plateau agroecosystem D. Wei et al. 10.1016/j.agwat.2025.109306
- Investigations on the Geometric Quality of AVHRR Level 1B Imagery Aboard MetOp-A S. Bas et al. 10.1007/s41064-021-00161-0
- Quantification of the uncertainty in multiscale validation of coarse-resolution satellite albedo products: A study based on airborne CASI data X. Wu et al. 10.1016/j.rse.2023.113465
- Temporal Greenness Trends in Stable Natural Land Cover and Relationships with Climatic Variability across the Conterminous United States L. Ji & J. Brown 10.1175/EI-D-21-0018.1
- Quantification of the Uncertainty Caused by Geometric Registration Errors in Multiscale Validation of Satellite Products X. Wu et al. 10.1109/LGRS.2021.3099833
- Sub-pixel accuracy evaluation of FY-3D MERSI-2 geolocation based on OLI reference imagery Z. Jing et al. 10.1080/01431161.2021.1950941
- Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang 10.1016/j.rse.2024.114163
- Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations S. Wu et al. 10.1016/j.isprsjprs.2020.10.017
- Retrieval and Evaluation of Global Surface Albedo Based on AVHRR GAC Data of the Last 40 Years S. Li et al. 10.3390/rs17010117
- Validating GEDI tree canopy cover product across forest types using co-registered aerial LiDAR data X. Li et al. 10.1016/j.isprsjprs.2023.11.024
17 citations as recorded by crossref.
- Contribution of Photogrammetry for Geometric Quality Assessment of Satellite Data for Global Climate Monitoring S. Kocaman & G. Seiz 10.3390/rs15184575
- Mapping the spatial distribution of alpine shrubs on the Qinghai–Tibet Plateau using Sentinel-2 images L. Liu et al. 10.1080/2150704X.2023.2185112
- On the geometric accuracy and stability of MSG SEVIRI images V. Debaecker et al. 10.1016/j.atmosenv.2021.118645
- A Comprehensive Validation Scheme for Satellite-Derived Land Surface Temperature Dataset J. Ma et al. 10.1109/TGRS.2024.3488083
- An Optimal Transport Based Global Similarity Index for Remote Sensing Products Comparison Y. Tan et al. 10.3390/rs14112546
- A Geometric Location Matching Method for Validation of Satellite Products: A Case Study for Albedo R. Tang et al. 10.1109/LGRS.2023.3253550
- A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021 J. Li et al. 10.5194/essd-15-2189-2023
- Unraveling the interplay between NDVI, soil moisture, and snowmelt: A comprehensive analysis of the Tibetan Plateau agroecosystem D. Wei et al. 10.1016/j.agwat.2025.109306
- Investigations on the Geometric Quality of AVHRR Level 1B Imagery Aboard MetOp-A S. Bas et al. 10.1007/s41064-021-00161-0
- Quantification of the uncertainty in multiscale validation of coarse-resolution satellite albedo products: A study based on airborne CASI data X. Wu et al. 10.1016/j.rse.2023.113465
- Temporal Greenness Trends in Stable Natural Land Cover and Relationships with Climatic Variability across the Conterminous United States L. Ji & J. Brown 10.1175/EI-D-21-0018.1
- Quantification of the Uncertainty Caused by Geometric Registration Errors in Multiscale Validation of Satellite Products X. Wu et al. 10.1109/LGRS.2021.3099833
- Sub-pixel accuracy evaluation of FY-3D MERSI-2 geolocation based on OLI reference imagery Z. Jing et al. 10.1080/01431161.2021.1950941
- Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang 10.1016/j.rse.2024.114163
- Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations S. Wu et al. 10.1016/j.isprsjprs.2020.10.017
- Retrieval and Evaluation of Global Surface Albedo Based on AVHRR GAC Data of the Last 40 Years S. Li et al. 10.3390/rs17010117
- Validating GEDI tree canopy cover product across forest types using co-registered aerial LiDAR data X. Li et al. 10.1016/j.isprsjprs.2023.11.024
Latest update: 21 Jan 2025
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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