CONSTRUCTION ENVIRONMENT - The Hong Kong Polytechnic ...

LSGI Prof. receives prestigious award
from ISPRS
Incidentally, his work on uncertainty modeling and quality control
for spatial data and analyses also won the State Natural Science
Award in 2007. He is the only scholar from Hong Kong in the field of
geo-sciences to have ever received this award since it was started in
1999. Kudos to Prof. Shi for his outstanding achievements.
17
(ISPRS)
2012
ISPRS
Prof. Shi at the closing ceremony of the XXII International Society for
Photogrammetry and Remote Sensing Congress in Melbourne, Australia
Prof. John Shi from Department of Land Surveying and Geo-
Informatics recently received the prestigious Wang Zhizhuo
Award, given by the International Society for Photogrammetry and
Remote Sensing (ISPRS). The award is granted quadrennially to
one scholar “who has made significant achievement or innovation
in the spatial information sciences.” Prof. Shi received the award
during the XXII ISPRS Congress in Melbourne, Australia from 25
August – 1 September 2012.
Prof. Shi has made a very significant impact on the development
of geographic information science (GISci) by advancing it
with four major theoretical breakthroughs, which are from
determinant- to uncertainty-based representation of geographic
objects; from uncertainty modeling for static spatial data to
dynamic spatial analyses; from uncertainty modeling for spatial
data to spatial models; and from error description to quality
control for spatial data.
(GISci)
2009
2007
1999
His work on the principles of modeling uncertainties in spatial
data and spatial analyses has been published in leading
international journals. The principles consisted of systemic
theories addressing a series of basic scientific issues, including
the sources of uncertainty, spatial distribution patterns, the
principle of uncertainty propagation, and quality control.
Theoretical research on uncertainty modeling and quality
control has made a great impact on applications, particularly in
the spatial information industry and satellite remote sensing.
With his book, Principles of Modeling Uncertainties in Spatial
Data and Spatial Analyses, which was published in 2009, Prof.
Shi has made a lasting contribution to the study of GISci. It is
the first text on such principles and presents a foundation for
GISci that has been widely referenced and recommended by
many universities worldwide.
Prof. Shi in his office at PolyU