Gaoxiang Zhou

According to our database, Gaoxiang Zhou authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

SIFNet: A self-attention interaction fusion network for multisource satellite imagery template matching.

Ming Liu, Gaoxiang Zhou, Lingfei Ma, Liangzhi Li, Qiong Mei

Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Spatiotemporal Disparity and Environmental Inequality in Fossil Fuel Carbon Emissions in China: 2010-2019.

Ming Liu, Ziyan Liu, Gaoxiang Zhou, Ying Wang, Xuanchen Liu, Ling Han

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021

An autoencoder-based model for forest disturbance detection using Landsat time series data.

Gaoxiang Zhou, Ming Liu, Xiangnan Liu

Int. J. Digit. Earth, 2021

2020

Analysis of ecological resilience to evaluate the inherent maintenance capacity of a forest ecosystem using a dense Landsat time series.

Yuanyuan Meng, Xiangnan Liu, Chao Ding, Boliang Xu, Gaoxiang Zhou, Lihong Zhu

Ecol. Informatics, 2020

2019

Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation.

Gaoxiang Zhou, Xiangnan Liu, Ming Liu

Remote. Sens., 2019

Long-Term Trend of Ground-Level PM2.5 Concentrations Over 2012-2017 in China.

Ming Liu, Gaoxiang Zhou, Rebecca K. Saari, Jonathan Li

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Dynamic system explanation: DySE, a framework that evolves to reason about complex systems - lessons learned.

Cheryl A. Telmer, Khaled Sayed, Adam A. Butchy, Kara N. Bocan, Emilee Holtzapple, Casey E. Hansen, Gaoxiang Zhou, Yasmine Ahmed, Natasa Miskov-Zivanov

Proceedings of the Conference on Artificial Intelligence for Data Discovery and Reuse, 2019

2018

A New Vegetation Index Based on Multitemporal Sentinel-2 Images for Discriminating Heavy Metal Stress Levels in Rice.

Zhijiang Zhang, Meiling Liu, Xiangnan Liu, Gaoxiang Zhou

Sensors, 2018

Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for Fapar Estimation.

Gaoxiang Zhou, Ming Liu, Xiangnan Liu, Jonathan Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Sensitivity Analysis of Discrete Models and Application in Biological Networks.

Gaoxiang Zhou, Kai-Wen Liang, Natasa Miskov-Zivanov

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress.

Gaoxiang Zhou, Xiangnan Liu, Shuang Zhao, Ming Liu, Ling Wu

Remote. Sens., 2017