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Songyan Zhu
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2020 – today
- 2024
- [j16]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
- [j15]Songyan Zhu
Explainable Machine Learning Confirms the Global Terrestrial CO2 Fertilization Effect From Space. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j14]Songyan Zhu
Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework LAPSO. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - 2022
- [j13]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) - [j12]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) - [j11]Songyan Zhu
Satellite Remote Sensing of Daily Surface Ozone in a Mountainous Area. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j10]Qiaolin Zeng, Tianshou Xie, Songyan Zhu, Meng Fan, Liangfu Chen, Yu Tian:
Estimating the Near-Ground PM2.5 Concentration over China Based on the CapsNet Model during 2018-2020. Remote. Sens. 14(3): 623 (2022) - [j9]Songyan Zhu
Learning Surface Ozone From Satellite Columns (LESO): A Regional Daily Estimation Framework for Surface Ozone Monitoring in China. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - 2021
- [j8]Songyan Zhu
An Optimization Approach for Hourly Ozone Simulation: A Case Study in Chongqing, China. IEEE Geosci. Remote. Sens. Lett. 18(11): 1871-1875 (2021) - [j7]Hongmei Wang
Evaluating the Performance of Ozone Products Derived from CrIS/NOAA20, AIRS/Aqua and ERA5 Reanalysis in the Polar Regions in 2020 Using Ground-Based Observations. Remote. Sens. 13(21): 4375 (2021) - 2020
- [j6]Xin Yang, Songyan Zhu, Dake Zhou, Yifan Zhang:
An improved target tracking algorithm based on spatio-temporal context under occlusions. Multidimens. Syst. Signal Process. 31(1): 329-344 (2020) - [j5]Qiaolin Zeng, Jinhua Tao, Liangfu Chen, Hao Zhu, Songyan Zhu, Yang Wang:
Estimating Ground-Level Particulate Matter in Five Regions of China Using Aerosol Optical Depth. Remote. Sens. 12(5): 881 (2020) - [j4]Xin Yang, Songyan Zhu, Sijun Xia, Dake Zhou:
A new TLD target tracking method based on improved correlation filter and adaptive scale. Vis. Comput. 36(9): 1783-1795 (2020)
2010 – 2019
- 2019
- [j3]Yapeng Wang, Zifeng Wang, Chao Yu, Songyan Zhu, Liangxiao Cheng, Ying Zhang, Liangfu Chen:
Validation of OMI HCHO Products Using MAX-DOAS observations from 2010 to 2016 in Xianghe, Beijing: Investigation of the Effects of Aerosols on Satellite Products. Remote. Sens. 11(2): 203 (2019) - [j2]Xiaoying Li, Jian Xu
Monitoring Trace Gases over the Antarctic Using Atmospheric Infrared Ultraspectral Sounder Onboard GaoFen-5: Algorithm Description and First Retrieval Results of O3, H2O, and HCl. Remote. Sens. 11(17): 1991 (2019) - 2018
- [j1]Hongmei Wang
Assessment of Retrieved N2O, NO2, and HF Profiles from the Atmospheric Infrared Ultraspectral Sounder Based on Simulated Spectra. Sensors 18(7): 2209 (2018)
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