Remote Sensing Technology and Application, Volume. 39, Issue 4, 940(2024)
Research on Long-term Gap-Free Land Surface Temperature Reconstruction Method
Fig. 4. Scatter plot of a validation dataset for a random forest LST reconstruction model
Fig. 5. Distribution of spatial characteristics of LST for random forest reconstruction
Fig. 7. Spatial feature distribution of reconstructed LST under cloud and sky conditions
Fig. 9. Scatter density map of reconstructed LST versus original MODIS LST
Fig. 10. Statistical chart of prediction variables used for LST reconstruction under annual time series transfer
Fig. 11. Spatial characteristic distribution of reconstructed LST under annual time series transfer
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Yao BAO, Yingbao YANG. Research on Long-term Gap-Free Land Surface Temperature Reconstruction Method[J]. Remote Sensing Technology and Application, 2024, 39(4): 940
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Received: Sep. 2, 2022
Accepted: --
Published Online: Jan. 6, 2025
The Author Email: YANG Yingbao (yyb@hhu.edu.cn)