Publications

2022

The number of papers and citations on cloud and cloud shadow detection, 1985–202

Major types of satellite images over different periods in the field.

Major countries:regions (published > 10 journal papers) in the field.

Shift in controlling factors of carbon stocks across biomes on the Qinghai-Tibetan Plateau

Daorui Han, Zhongmin Hu*, Xuhui Wang, Tao Wang, Anping Chen, Qihao Weng, Minqi Liang, Xiang Zeng, Ruochen Cao, Kai Di, Dengnan Luo, Guangru Zhang, Yuanhe Yang, Honglin He, Jiangwen Fan and Guirui Yu

Key Words: Qinghai-Tibetan plateau; SOC mapping; Machine learning algorithms; Driving factors; Uncertainties

Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects

Zhiwei Li, Huanfeng Shen*, Qihao Weng, Yuzhuo Zhang, Peng Dou, Liangpei Zhang

Key Words: Cloud detection; Cloud shadow detection; Optical remote sensing; Satellite imagery; Cloudy and rainy regions

Illustrative diagram of creating composite NTL data.

Mean valid pixel coverage (%) across seven composite periods

Impact of temporal compositing on nighttime light data and its applications

Qiming Zheng *, Qihao Weng, Yuyu Zhou, Baiyu Dong

Key Words: Nighttime light imagery; Daily VIIRS images; Temporal compositing; Geographic variation; NTL applications; Urbanization

Use of local climate zones to assess the spatiotemporal variations of urban vegetation phenology in Austin, Texas, USA

Chunhong Zhao, Qihao Weng *, Yige Wang, Zhongmin Hu, Chaoyang Wu

Key Words: Urban vegetation; vegetation phenology; local climate zones; urban-rural gradients; austin metropolitan area; environmental sustainability

Thick clouds removal from multitemporal Landsat images using spatiotemporal neural networks

Yang Chen, Qihao Weng *, Luliang Tang *, Xia Zhang, M. Bilal, Qingquan Li

Key Words: Cloud detection; deep learning; geoinformatics; optical imagery; spatial–temporal feature fusion