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ORCIDGaoxiang Zhou
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2020 – today
- 2024
[j9]Gaoxiang Zhou, Ming Liu, Linlin Xu, Liangzhi Li:
A gap-filling method for satellite-derived chlorophyll-a time series based on neighborhood spatiotemporal information. Int. J. Appl. Earth Obs. Geoinformation 128: 103724 (2024)- [j8]Gaoxiang Zhou, Jun Chen, Ming Liu, Lingfei Ma
:
A spatiotemporal attention-augmented ConvLSTM model for ocean remote sensing reflectance prediction. Int. J. Appl. Earth Obs. Geoinformation 129: 103815 (2024) - [j7]Gaoxiang Zhou, Ming Liu, Liangzhi Li:
A Spatiotemporal Fusion Transformer Model for Chlorophyll-a Concentrations Prediction Over Large Areas With Satellite Time Series Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - 2023
- [j6]Ming Liu, Gaoxiang Zhou, Lingfei Ma, Liangzhi Li, Qiong Mei:
SIFNet: A self-attention interaction fusion network for multisource satellite imagery template matching. Int. J. Appl. Earth Obs. Geoinformation 118: 103247 (2023) - [c5]Ming Liu, Ziyan Liu, Gaoxiang Zhou, Ying Wang, Xuanchen Liu, Ling Han:
Spatiotemporal Disparity and Environmental Inequality in Fossil Fuel Carbon Emissions in China: 2010-2019. IGARSS 2023: 2099-2102 - 2021
- [j5]Gaoxiang Zhou, Ming Liu, Xiangnan Liu:
An autoencoder-based model for forest disturbance detection using Landsat time series data. Int. J. Digit. Earth 14(9): 1087-1102 (2021) - 2020
- [j4]Yuanyuan Meng, Xiangnan Liu, Chao Ding, Boliang Xu, Gaoxiang Zhou, Lihong Zhu:
Analysis of ecological resilience to evaluate the inherent maintenance capacity of a forest ecosystem using a dense Landsat time series. Ecol. Informatics 57: 101064 (2020)
2010 – 2019
- 2019
- [j3]Gaoxiang Zhou, Xiangnan Liu, Ming Liu:
Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. Remote. Sens. 11(3): 268 (2019) - [c4]Cheryl A. Telmer, Khaled Sayed, Adam A. Butchy, Kara N. Bocan, Emilee Holtzapple, Casey E. Hansen, Gaoxiang Zhou, Yasmine Ahmed, Natasa Miskov-Zivanov:
Dynamic system explanation: DySE, a framework that evolves to reason about complex systems - lessons learned. AIDR 2019: 4:1-4:10 - [c3]Ming Liu, Gaoxiang Zhou, Rebecca K. Saari, Jonathan Li:
Long-Term Trend of Ground-Level PM2.5 Concentrations Over 2012-2017 in China. IGARSS 2019: 7842-7845 - 2018
- [j2]Zhijiang Zhang, Meiling Liu, Xiangnan Liu, Gaoxiang Zhou:
A New Vegetation Index Based on Multitemporal Sentinel-2 Images for Discriminating Heavy Metal Stress Levels in Rice. Sensors 18(7): 2172 (2018) - [c2]Gaoxiang Zhou, Kai-Wen Liang, Natasa Miskov-Zivanov:
Sensitivity Analysis of Discrete Models and Application in Biological Networks. BCB 2018: 605-606 - [c1]Gaoxiang Zhou, Ming Liu, Xiangnan Liu, Jonathan Li:
Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for Fapar Estimation. IGARSS 2018: 1882-1885 - 2017
- [j1]Gaoxiang Zhou, Xiangnan Liu, Shuang Zhao, Ming Liu, Ling Wu:
Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress. Remote. Sens. 9(5): 424 (2017)
Coauthor Index
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