Assessing the Phenology of Southern Tropical Africa: A Comparison of Hemispherical Photography, Scatterometry, and Optical/NIR Remote Sensing. - Casey M. Ryan; Mathew Williams; Timothy C. Hill; John Grace; Iain H. Woodhouse (IEEE Trans. Geosci. Remote. Sens., 2014)

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring. - Neha P. Joshi; Matthias Baumann; Andrea Ehammer; Rasmus Fensholt; Kenneth Grogan; Patrick Hostert; Martin Rudbeck Jepsen; Tobias Kuemmerle; Patrick Meyfroidt; Edward T. A. Mitchard; Johannes Reiche; Casey M. Ryan; et al. (Remote. Sens., 2016)

Large Area Aboveground Biomass and Carbon Stock Mapping in Woodlands in Mozambique with L-Band Radar: Improving Accuracy by Accounting for Soil Moisture Effects Using the Water Cloud Model. - Yaqing Gou; Casey M. Ryan; Johannes Reiche (Remote. Sens., 2022)

Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning. - Wenquan Dong; Edward T. A. Mitchard; Hao Yu; Steven Hancock; Casey M. Ryan (CoRR, 2023)

Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. - Man Chen; Wenquan Dong; Hao Yu; Iain H. Woodhouse; Casey M. Ryan; Haoyu Liu; Selena Georgiou; Edward T. A. Mitchard (CoRR, 2023)

UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modelling of Terrestrial Carbon Uptake. - Wenquan Dong; Songyan Zhu; Jian Xu 008; Casey M. Ryan; Man Chen; Jingya Zeng; Hao Yu; Congfeng Cao; Jiancheng Shi 001 (CoRR, 2024)

UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modeling of Terrestrial Carbon Uptake. - Wenquan Dong; Songyan Zhu; Jian Xu 008; Casey M. Ryan; Man Chen; Jingya Zeng; Hao Yu; Congfeng Cao; Jiancheng Shi 001 (IEEE Geosci. Remote. Sens. Lett., 2025)