A time-continuous land surface temperature (LST) data fusion approach based on deep learning with microwave remote sensing and high-density ground truth observations

Han, Jiahao; Fang, Shibo; Mi, Qianchuan; Wang, Xinyu; Yu, Yanru; Zhuo, Wen; Peng, Xiaofeng

doi:10.1016/j.scitotenv.2024.169992

Science of The Total Environment

2024

DOI: 10.1016/j.scitotenv.2024.169992

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A time-continuous land surface temperature (LST) data fusion approach based on deep learning with microwave remote sensing and high-density ground truth observations

Jiahao Han,

Shibo Fang,

Qianchuan Mi

et al.

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Cited by 5 publications

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Setiawan

2024

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Integration of Landsat-8 OLI/TIRS and Sentinel-1A PolSAR for analyzing land surface temperature and its anomalies linked to ENSO in Surakarta, Indonesia

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A time-continuous land surface temperature (LST) data fusion approach based on deep learning with microwave remote sensing and high-density ground truth observations

Cited by 5 publications

References 61 publications

Integration of Landsat-8 OLI/TIRS and Sentinel-1A PolSAR for analyzing land surface temperature and its anomalies linked to ENSO in Surakarta, Indonesia

Integration of Landsat-8 OLI/TIRS and Sentinel-1A PolSAR for analyzing land surface temperature and its anomalies linked to ENSO in Surakarta, Indonesia

ISLAND: Interpolating Land Surface Temperature using land cover

Advances in Methodology and Generation of All-Weather Land Surface Temperature Products From Polar-Orbiting and Geostationary Satellites: A comprehensive review

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