Impact Stories
High-precision and high-resolution topographic information for surface hazard analysis and landing site evaluation are vital for the success of any landing mission to planetary bodies. They are also essential for planetary science research. A LSGI research group led by Prof. Bo Wu has systematically researched planetary remote sensing over the past decade. They have advanced research and development in planetary mapping and remote sensing data analysis. A new integrated 3D mapping model has been developed for high-precision and high-resolution topographic mapping of the Moon and Mars, surpassing all existing technology, such as photogrammetry or laser altimetry. Novel deep learning approaches have also been developed for more automated and robust analysis of planetary remote sensing data. These
developments led to a 'Gold Medal' and an 'R. Alekseev Award' for the PolyU team at the 44th International Exhibition of Inventions in Geneva in April 2016. The research article about multiple-source data integration for precision lunar topographic mapping was cited by Nature Index as 'a landmark paper on lunar topographic models' in an analysis of the research produced by universities in Hong Kong. The developments and results have been extensively used for landing site mapping and characterisation for China’s lunar and Mars landing missions.
(Photo caption: Prof. Bo Wu at the launch site of Chang’E-4 in Xichang Satellite Launch Center)
Big data is meaningless without data analysis. A LSGI research group has made systematic studies on the theories and methods for modelling uncertainty and quality control of spatial data, modelling the uncertainty propagation in spatial analysis and surface reconstruction and measuring and computing the reliability in spatial analyses and spatial data mining, algorithms and models for spatial modelling, including the multi-scale representation of spatial data and spatial analysis results. The theoretical research on uncertainty in data quality and spatial analysis has been widely applied in spatial data quality assessment and control in Hong Kong and the region, the data quality assessment standards of Macao Geographic Information System (GIS) data for the Macao government, and the quality assessment for the first National Geographic State Survey of China. An extended WKDE model was developed and forecasted COVID-19 onset risk for the whole pandemic period in China. The decrease of the onset risk attributed to the Wuhan lockdown was more than 8% to 21.3% in cities in China. The work in digital terrain modelling has been the basis for the establishment of the national accuracy specifications for digital elevation models and used for quality control in the establishment of national digital elevation models. Highly recognised internationally, the work has honoured Prof. Wen-zhong Shi and Prof. Zhilin Li with the State Natural Science Award (the second class prize) from the Central Government of China in 2007 and 2004, respectively. They also won prestigious awards from the International Society for Photogrammetry and Remote Sensing.
(Photo caption: COVID-19 illness onset risk prediction for 347 cities in China on 30th of Jan 2020.)
