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Jingya Zeng
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2020 – today
- 2024
- [j4]Songyan Zhu
, Jian Xu
UFLUX-GPP: A Cost-Effective Framework for Quantifying Daily Terrestrial Ecosystem Carbon Uptake Using Satellite Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [i1]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
- [j3]Songyan Zhu
Explainable Machine Learning Confirms the Global Terrestrial CO2 Fertilization Effect From Space. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - 2022
- [j2]Songyan Zhu, Jian Xu
Satellite-derived estimates of surface ozone by LESO: Extended application and performance evaluation. Int. J. Appl. Earth Obs. Geoinformation 113: 103008 (2022) - [j1]Songyan Zhu
Investigating Impacts of Ambient Air Pollution on the Terrestrial Gross Primary Productivity (GPP) From Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
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