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2020 – today
- 2024
[j6]Zhige Wang, Ce Zhang
, Su Ye, Rui Lu, Yulin Shangguan, Tingyuan Zhou, Peter M. Atkinson, Zhou Shi:
Tracking hourly PM2.5 using geostationary satellite sensor images and multiscale spatiotemporal deep learning. Int. J. Appl. Earth Obs. Geoinformation 134: 104145 (2024)- [j5]Lingfang Gao, Yulin Shangguan, Zhong Sun, Qiaohui Shen, Zhou Shi:
Estimation of Non-Optically Active Water Quality Parameters in Zhejiang Province Based on Machine Learning. Remote. Sens. 16(3): 514 (2024) - [j4]Xiaoxiao Min, Yulin Shangguan, Zhou Shi:
A Novel Merging Framework for Generating High-Accuracy Global Soil Moisture by Error Decomposition Through Multiple Collocation Analysis. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - 2023
- [j3]Yulin Shangguan, Xiaoxiao Min, Zhou Shi:
Gap Filling of the ESA CCI Soil Moisture Data Using a Spatiotemporal Attention-Based Residual Deep Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5344-5354 (2023) - 2022
- [j2]Xiaoxiao Min, Yulin Shangguan, Danlu Li, Zhou Shi:
Improving the fusion of global soil moisture datasets from SMAP, SMOS, ASCAT, and MERRA2 by considering the non-zero error covariance. Int. J. Appl. Earth Obs. Geoinformation 113: 103016 (2022) - [j1]Xiaoxiao Min, Yulin Shangguan, Jingyi Huang, Hongquan Wang, Zhou Shi:
Relative Strengths Recognition of Nine Mainstream Satellite-Based Soil Moisture Products at the Global Scale. Remote. Sens. 14(12): 2739 (2022)
Coauthor Index
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