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