A coarse pixel-scale ground “truth” dataset based on global in situ site measurements to support validation and bias correction of satellite surface albedo products

Pan, Fei; Wu, Xiaodan; Zeng, Qicheng; Tang, Rongqi; Wang, Jingping; Lin, Xingwen; You, Dongqin; Wen, Jianguang; Xiao, Qing

doi:https://doi.org/10.5194/essd-16-161-2024

Articles | Volume 16, issue 1

https://doi.org/10.5194/essd-16-161-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-161-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 1

Data description paper

|

10 Jan 2024

Data description paper |

| 10 Jan 2024

A coarse pixel-scale ground “truth” dataset based on global in situ site measurements to support validation and bias correction of satellite surface albedo products

Fei Pan, Xiaodan Wu, Qicheng Zeng, Rongqi Tang, Jingping Wang, Xingwen Lin, Dongqin You, Jianguang Wen, and Qing Xiao

Data sets

A coarse pixel scale ground "truth" dataset based on the global in situ site measurements from 2000 to 2021. Fei Pan et al. https://doi.org/10.5281/zenodo.8008454

Short summary

To effectively tackle the challenges posed by spatial-scale differences and spatial heterogeneity, this paper presents a distinctive coarse pixel-scale ground “truth" dataset by upscaling sparsely distributed in situ measurements. This dataset is a valuable resource for validating and correcting global surface albedo products, enhancing reference data accuracy by 6.04 %. Remarkably, it substantially enhances 17.09 % in regions with strong spatial heterogeneity.