151 citations · 293 across the 5 of their papers we have counts for
5 papers
30-meter Land Surface Temperature from Landsat via Progressive Self-Training Downscaling
Huanfeng Shen, Chan Li, Menghui Jiang +3
Land surface temperature (LST) is a critical parameter for characterizing surface energy balance and hydrothermal processes. While Landsat provides invaluable LST observations at m…
A physics-constrained machine learning method for mapping gapless land surface temperature
Jun Ma, Huanfeng Shen, Menghui Jiang +5
More accurate, spatio-temporally, and physically consistent LST estimation has been a main interest in Earth system research. Developing physics-driven mechanism models and data-dr…
Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data
Jun Ma, Huanfeng Shen, Penghai Wu +3
Land surface temperature (LST) is a key parameter when monitoring land surface processes. However, cloud contamination and the tradeoff between the spatial and temporal resolutions…
Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques
Penghai Wu, Zhixiang Yin, Chao Zeng +6
Remotely sensed, spatially continuous and high spatiotemporal resolution (hereafter referred to as high resolution) land surface temperature (LST) is a key parameter for studying t…
A Spatial and Temporal Non-Local Filter Based Data Fusion
Qing Cheng, Huiqing Liu, Huanfeng Shen +2
The trade-off in remote sensing instruments that balances the spatial resolution and temporal frequency limits our capacity to monitor spatial and temporal dynamics effectively. Th…