Dept. of RS and GIS

The Department of Remote Sensing and Geoinformation Engineering (RSGIE) was formed in 2010 when the Faculty of Geosciences and Environmental Engineering was established. It covers the areas of Remote Sensing and Geographic Information System/Science, which belongs to the broad discipline of geomatic engineering (traditionally surveying engineering).

The surveying discipline has a history as long the University, which was established (named as Imperial Chinese Railway College) in 1896. Indeed, as many as three courses were offered in the degree programme of railway construction engineering in 1986. By 1939, the number of courses in surveying had been increased to a level of five. In 1959, the University launched an aerial surveying specialization in the Department of Railway Construction. In 1974, the University launched a degree programme in Aerial Surveying and Railway Line Setting, which was transformed into Photogrammetry and Remote Sensing in 1978. In 1991, the Department of Surveying Engineering was established. In 1998, it became a Department of the Faculty of Civil Engineering. In 2010, the discipline of surveying became a part of the Faculty of Geosciences and Environmental Engineering.

Today, the Department of RSGIE has 28 academic staff members, including 8 professors and 6 associate professors.

The Department is committed to high standard research. Academic staff members have carried out a number of large projects funded by the State Key Basic Research Scheme (the 973 Program), the State High-Tech Research and Development Scheme (the 863 Program), and the Natural Science Foundation of China. The major research areas are: InSAR, Digital Photogrammetry, Remote Sensing, digital cartography, Geographic Information Science (GIS), and their applications (particularly in high-speed railway construction and maintenance, environmental and geological hazard mitigation, smart city and urban management).

The Department offers undergraduate and postgraduate (master and PhD) programmes, in Geographic Information Science, and Remote Sensing Science and Technology.