The objective of this study is to develop a hybrid method by combining the ATC model and the 3D-CNN model for reconstructing high spatiotemporal LSTs, ...
ATC model that is sufficiently stable and can represent short-term LST fluctuations. 251. Zou et al. (2018; 2017) proposed an enhanced annual temperature cycle ...
The proposed method is simpler, more efficient with higher robustness in terms of reconstructing high spatiotemporal LSTs in urban settings compared with ...
Mar 14, 2022 · In this study, we developed a hybrid reconstructing method based on the annual temperature cycle (ATC) and three-dimensional convolutional ...
Combining ATC and 3D-CNN for reconstructing spatially and temporally continuous land surface temperature ... Authors: Huyan Fu; Zhenfeng Shao; Peng Fu; Xiao Huang ...
3D-CNN, combined with ATC, enhances urban land surface temperature prediction by efficiently reconstructing high spatiotemporal LSTs, outperforming existing ...
Combining ATC and 3D-CNN for reconstructing spatially and ...
colab.ws › articles › j.jag.2022.102733
A hybrid reconstructing method that combines ATC and 3D-CNN is developed. • Seamless LSTs are reconstructed using spatiotemporal information and multisource ...
Combining ATC and 3D-CNN for reconstructing spatially and temporally continuous land surface temperature. Huyan Fu, Zhenfeng Shao, Peng Fu 0004, Xiao Huang ...
Annual temperature cycle (ATC) models are widely used to characterize temporally continuous land surface temperature (LST) dynamics within an annual cycle.
Jul 9, 2024 · 3D-CNN, combined with ATC, enhances urban land surface temperature prediction by efficiently reconstructing high spatiotemporal LSTs, ...