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2020 – today
- 2024
[i3]Wenquan Dong, Songyan Zhu, Jian Xu, Casey M. Ryan, Man Chen, Jingya Zeng, Hao Yu, Congfeng Cao, Jiancheng Shi:
UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modelling of Terrestrial Carbon Uptake. CoRR abs/2410.03951 (2024)- 2023
- [i2]Wenquan Dong, Edward T. A. Mitchard, Hao Yu, Steven Hancock, Casey M. Ryan
:
Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning. CoRR abs/2311.03067 (2023) - [i1]Man Chen, Wenquan Dong, Hao Yu, Iain H. Woodhouse, Casey M. Ryan, Haoyu Liu, Selena Georgiou, Edward T. A. Mitchard:
Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. CoRR abs/2311.11777 (2023) - 2022
- [j3]Yaqing Gou, Casey M. Ryan, Johannes Reiche:
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. Remote. Sens. 14(2): 404 (2022)
2010 – 2019
- 2016
- [j2]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, Björn Waske:
A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring. Remote. Sens. 8(1): 70 (2016) - 2014
- [j1]Casey M. Ryan, Mathew Williams, Timothy C. Hill, John Grace, Iain H. Woodhouse:
Assessing the Phenology of Southern Tropical Africa: A Comparison of Hemispherical Photography, Scatterometry, and Optical/NIR Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 52(1): 519-528 (2014)
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