51 citations · 59 across the 4 of their papers we have counts for
4 papers
Intelligent model for offshore China sea fog forecasting
Yanfei Xiang, Qinghong Zhang, Mingqing Wang +3
Accurate and timely prediction of sea fog is very important for effectively managing maritime and coastal economic activities. Given the intricate nature and inherent variability o…
Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources
Guannan Geng, Qingyang Xiao, Shigan Liu +9
Air pollution has altered the Earth radiation balance, disturbed the ecosystem and increased human morbidity and mortality. Accordingly, a full-coverage high-resolution air polluta…
Estimates of daily ground-level NO2 concentrations in China based on big data and machine learning approaches
Xinyu Dou, Cuijuan Liao, Hengqi Wang +11
Nitrogen dioxide (NO2) is one of the most important atmospheric pollutants. However, current ground-level NO2 concentration data are lack of either high-resolution coverage or full…
A probabilistic graphical model approach in 30 m land cover mapping with multiple data sources
Jie Wang, Luyan Ji, Xiaomeng Huang +3
There is a trend to acquire high accuracy land-cover maps using multi-source classification methods, most of which are based on data fusion, especially pixel- or feature-level fusi…