EO & RS

To introduce our study on the environmental effect of urban form on PM2.5 using multi-source data.

We used multi-source data, machine learning, and spatial statistics to develop accurate air pollution maps and assess their health effects.

We study how the patterns of urban blue and green space shape the urban environment, from stormwater simulation and urban flooding to multi-perspective green space under expansion.

We used machine learning, spatial statistics, ecological process models, and remote sensing to construct maps of the urban carbon cycle.

We explored the spatial-temporal GIS theory and its applications, from crime geography and urban element mapping to causal discovery with empirical dynamic modeling.

In the new normal period of economic transition in China, The Government decision-making, which promoted the idea of people-oriented, came up with the concept of the Sponge City Using RS, GIS and multi-source open data, based on landscape scale, the …

With the tide of Smart City and Big Data era, the author explore the practice of BIM & GIS in Smart Campus’s Planning Design and Application based on Fujian Normal University. It used Data Augmented Design, GIS spatial analysis, Space Syntax and City …