IMAGE Track Access Services Creates Virtual 3D Models and Desktop Signal...
Derby Station, located in the United Kingdom, currently handles 16 passenger trains in a typical hour and 30-40 freight trains per day using tracks...
IMAGE Data Analytics And Operational Analytics Can Transform the Utility
The power of analytics can never be underestimated. Analytics within utilities, if used correctly, can enable them to respond more rapidly and...
IMAGE Creating 3D Models of Complex Objects
3D models contribute significant opportunity and value to design, construction and the renovation of existing and building of new infrastructure....

A large number of studies have dealt with the driven forces of land expansion, in which the remote sensing data and statistical data are most commonly used. The recent progress based on the statistical data have not been fully tested and discussed by the remote sensing data, and the remote sensing data used in the previous studies are usually interpreted within certain areas which is not convenient for global comparison. In this paper, the 30-m GlobalLand Cover Dataset (GlobeLand30) and socioeconomic data from 2000 to 2010 are adopted to investigate the factors driving impervious surface expansion in China based on a multilevel regression model. The GlobeLand30 provides a world-wide data framework which has a sound basis for regional comparison research. The variables are selected according to the existing research. Most, but not all, results are consistent with the previous studies when using impervious surface data of GlobeLand30. Read More