Proceedings of the International Conference on Industrial Design and Environmental Engineering, IDEE 2023, November 24–26, 2023, Zhengzhou, China

Research Article

Spatial-Temporal Three-Corned Hat for Soil Moisture Uncertainty Evaluation Over the Qinghai-Tibet Plateau

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  • @INPROCEEDINGS{10.4108/eai.24-11-2023.2343429,
        author={Ling  Zhang and Yongxu  Wang and Zhaohui  Xue},
        title={Spatial-Temporal Three-Corned Hat for Soil Moisture  Uncertainty Evaluation Over the Qinghai-Tibet  Plateau },
        proceedings={Proceedings of the International Conference on Industrial Design and Environmental Engineering, IDEE 2023, November 24--26, 2023, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={IDEE},
        year={2024},
        month={2},
        keywords={soil moisture (sm); three-corned hat (tch); spatial-temporal fusion qinghai-tibet plateau (qtp)},
        doi={10.4108/eai.24-11-2023.2343429}
    }
    
  • Ling Zhang
    Yongxu Wang
    Zhaohui Xue
    Year: 2024
    Spatial-Temporal Three-Corned Hat for Soil Moisture Uncertainty Evaluation Over the Qinghai-Tibet Plateau
    IDEE
    EAI
    DOI: 10.4108/eai.24-11-2023.2343429
Ling Zhang1, Yongxu Wang2,*, Zhaohui Xue2
  • 1: Jiangsu Maritime Institute
  • 2: Hohai University
*Contact email: wyx05242021@163.com

Abstract

Accurate uncertainty evaluation of soil moisture (SM) products is crucial for maximizing their utility in research and applications in hydro-meteorology and climatology. At present, the uncertainty analysis of SM is mostly carried out from the perspective of temporal domain based on time series. Whereas, the influence of spatial heterogeneity when representing spatial errors is usually ignored. To solve this problem, a novel spatial-temporal three-corned hat (ST-TCH) method is proposed for SM uncertainty evaluation. Firstly, a moving window is used to construct the spatialtemporal data cube of SM within the neighborhood. Secondly, the heterogeneous pixels are eliminated based on Spearman correlation coefficient to avoid the interference of heterogeneous pixels. Finally, the 3D spatial-temporal data is vectorized into a sequence which is fed into TCH to produce the relative uncertainty (RU). Experiments are conducted on four SM products over the Qinghai-Tibet plateau (QTP). To quantitatively verify the performance, four products are merged based on the estimated RU, and the merged products are further validated with the in-situ data. Results demonstrate that RU obtained by ST-TCH is more complete in spatial distribution, and the merged product produced by ST-TCH is more close to the in-situ data with R = 0.769 among all products.