A hybrid machine learning and data assimilation framework for penman–monteith evapotranspiration estimation over China - Xiaowen Wu; Xiang Li; Jianli Ding; Shaomin Liu; Tongren Xu; Lisheng Song; Sayed M. Bateni; Ziwei Xu; Dongxing Wu; Xinlei He; Jinjie Wang; Rui Liu; et al. (Remote Sensing of Environment, 2026)

Physics-guided deep learning for geostationary satellite-based estimation of dead fuel moisture content in Southwest China - Chunquan Fan; Yiru Zhang; Rui Chen; Hongguo Zhang; Jianpeng Yin; Yanxi Li; Binbin He; Xingwen Quan (Remote Sensing of Environment, 2026)

Probabilistic mapping of high-intensity forest fire potential via time series machine learning and remote sensing-informed fire spread simulations - Rui Chen; Yiru Zhang; Yanxi Li; Marta Yebra; Chunquan Fan; Hongguo Zhang; Binbin He (Remote Sensing of Environment, 2026)

Sub-daily live fuel moisture content estimation from Himawari-8 data - Xingwen Quan; Rui Chen; Marta Yebra; David Riaño; Víctor Resco de Dios; Xing Li; Binbin He; Rachael H. Nolan; Anne Griebel; Matthias M. Boer; Yuanqi Sun (Remote Sensing of Environment, 2024)

Changes in the lithosphere, atmosphere, and ionosphere before and during the Mw = 7.7 Jamaica 2020 earthquake - Dedalo Marchetti; Kaiguang Zhu; Alessandro Piscini; Essam Ghamry; Xuhui Shen; Rui Yan; Xiaodan He; Ting Wang; Wenqi Chen; Jiami Wen; Yiqun Zhang; Yuqi Cheng; et al. (Remote Sensing of Environment, 2024)

Global seamless and high-resolution temperature dataset (GSHTD), 2001–2020 - Rui Yao; Lunche Wang; Xin Huang; Qian Cao; Jing Wei; Panxing He; Shaoqiang Wang; Lizhe Wang (Remote Sensing of Environment, 2023)