Assessing Kernel-Driven Models' Efficacy in Urban Thermal Radiation Directionality Modeling Using DART-Simulated Scenarios

文献类型： 外文期刊

第一作者： Zhu, Xiaolin

作者： Zhu, Xiaolin;Li, Zhao-Liang;Nerry, Francoise;Li, Zhao-Liang

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关键词： thermal radiation directionality; kernel-driven models; urban land surface temperature; DART

期刊名称：REMOTE SENSING （ 影响因子：4.1； 五年影响因子：4.8 ）

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年卷期： 2025 年 17 卷 16 期

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收录情况： SCI

摘要： The intensification of the urban thermal environment has brought attention to urban land surface temperature (ULST). Complex building geometry and manmade material lead to significant thermal radiation directionality (TRD) of the urban canopy, and the TRD effect directly influences the accuracy of ULST retrieval algorithms. Therefore, it is essential to understand and eliminate the TRD effect to achieve high-accuracy ULST. In this context, the hemispherical brightness temperature maximum-minimum discrepancy (BTD) was quantitatively analyzed via different spectral bands, component temperature thresholds, urban geometries, and component temperature differences. Meanwhile, the DART simulations database was used to systematically evaluate 1 single-kernel- and 30 dual-kernel-driven models (KDMs), which were combined from 5 base-shape kernels (RossThick, Vinnikov, uea, RossThin, and LSF) and 6 hotspot kernels (RL, Roujean, Vinnikov, LiSparseR, LiDense, and Chen). Results show that the BTD discrepancy (Delta BTD) can reach up to 0.91 K with different band emissivities, whereas the Delta BTD is over 10 K with different component temperature differences. The building density and ratio between building heights and road widths (H/W) also exhibit their importance over urban regions. In addition, the RossThick-/Vinnikov-Roujean dual-kernel KDMs demonstrate better performance with an overall RMSE of 1.12 K. The RL-series KDMs can describe the hotspot distribution well, but the uea-series KDMs outperform at the solar principal plane (SPP) and cross-solar principal plane (CSPP). Specifically, the performance of all KDMs is sensitive to the H/W and component temperature thresholds, and urban geometry can affect the TRD RMSE with increasing H/W and a depletion of high building density. The quantitative TRD analysis and comparison provide a comprehensive reference for understanding the distribution of thermal radiation, which is also a reliable basis for developing the new TRD model over urban regions.

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