Tajul Ariffin Musa

Head of Geomatic Innovation Research Group, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia

Practical Approach of GPS Continuously Operating Reference Station (CORS) Data

Increasingly precise GPS/GNSS positioning is based on real-time operations using permanently installed Continuously Operating Reference Station networks. CORS of global/regional/local scale have been established in many places around the world to support positioning activities & applications. The CORS network provides centralized, redundancy, improved availability & reliability of the control stations. This tutorial covers the process to establish a GPS CORS, data streaming and communication, data storage and management, as well as setting up for user’s real-time data access of the CORS.

Brief Biography

Tajul Ariffin Musa is a senior lecturer at the Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM) since 1997. He obtained a Bachelor Degree and Masterof Science from UTM, and a Doctor of Philosophy from the School of Surveying and Information System, The University of New South Wales (UNSW), Sydney, Australia. His research work is in the areas on GPS network-based positioning and on atmospheric study. He is currently Head of the Geomatic Innovation Research Group in UTM. Tajul is a member of the Institution of Surveyors, Malaysia (ISM) and International Association of Geodesy (IAG).

Claire Ellul

Reader in Geographical Information Science, Dept. of Civil, Environ & Geomatic Eng., Faculty of Engineering Science, University College London

Integrating BIM and GIS - Some Practical Examples

The tutorial will consist of a mixture of slides and practical examples (using tools such as FME, Revit, Oracle Spatial and ArcScene) to highlight the similarities and differences between BIM and GIS, and the technical issues that are encountered when you try and integrate the two. It will demonstrate the process of geo-referencing a BIM, exporting to IFC and importing that IFC into GIS to integrate with other data, along with a number of GIS analytical tasks that can be performed using the data once this is done - e.g. calculating the impact of a new building on others in the locality, determining average air quality or noise in a room.

Brief Biography

Dr. Ellul started her career by studying Electrical and Electronic Engineering, but quickly moved into Geographical Information Science (GIS), working for 10 years as a consultant across Europe and the Middle East. She returned to academia in 2003 to start a PhD in 3D GIS (completed in 2007) at University College London (UCL). This was followed a period of post-doctoral research before being appointed as a Lecturer at UCL in 2010, where she now holds the role of Reader (Associate Professor) of Geographical Information Science. She is Course Director on UCL’s MSc in Geogrpahical Information Science, teaching modules on programming (Application Development) and spatial databases. Her research interests focus on technical and data-related aspects of GIS, with particular interest in data usability, 3D GIS and the interoperability of 3D GIS and Building Information Models.

Mazlan Hashim

Senior Director, Research Institute for Sustainable Environment (RISE), Office of Deputy Vice Chancellor (Research & Innovation), Universiti Teknologi Malaysia

Geostatistics For Remote Sensing Data Analysis

This tutorial is a brief refresher to various Geo-related professionals who carried out various remote sensing data analyses in multi-disciplines and applications. Be it for producing simple large to small scale thematic map, the end outputs if it to be technologically comply and accepted as scientific document must inherent in the data analysis must fulfilled a proper statistical-based inputs. As remote sensing data acquisition become so advanced due to both the advancement in the sensor and computing technology development, the amount of data and feature of data are also very challenging for numerous scientific information that could be extracted from. The routine task as in technological approach of mapping information alone, does not suffice in supporting these extracted information for statistical and scientific inferences as required in many existing and emerging applications of remotely sensed data. Statitical-based analyses of remotely sensed data from univariate, multivariate to selected spatial and geo-statistics will be presented in the tutorial, hence the participants could grasp the next steps of statistical analyses of remote sensing data, apart of the common routine technologically approaches only.

Brief Biography

Prof. Dr. Mazlan Hashim is currently the Senior Director of Research Institute of Sustainable Environment, Universiti Teknologi Malaysia (UTM); and Fellow of the Geoscience and Digital Earth Centre (INSTeG), UTM. He is also the Head for UTM-Antarctica Reseach Group. He held several positions as Visiting Professor/Scientist at Arabian Gulf University (2015); Tokyo Metropolitan University, Japan (2011-2017); Univ. of Cambridge, United Kingdom (2010); National Institute for Environmental Studies, Japan (2002- 2004), Peking University, China (1990); and Tohoku University, Japan (1989). He is a Fellow and life member of Malaysia Institution on Geospatial and Remote Sensing; and a professional member to: IEEE, Royal Institution of Surveyors Malaysia, and the International Hydrological Scientists Association. Currently, serve as Panel of Malaysian Professor Council for Engineering and Technology Cluster. He has led national and international collaborative research in remote sensing and its related technology applications with indexed publications of more than 150 articles in top ranking journals. His consistent contributions in number of articles, citations and accumulated impact factors for remote sensing and related technology in Web of Science for 2010-2015, have made one of top-3 leading authors in Remote Sensing applications under planetary and earth sciences. Prof. Dr. Mazlan Hashim has received various both international and national-level awards for his outstanding research and innovation outputs. He is also awarded as Top Research Scientists Malaysia by Malaysia Academy of Sciences for his outstanding contributions in advancing Remote Sensing Technology applications.

Alias Abdul Rahman

Brief Biography

Zulkifli Yusop

Brief Biography

Zulkepli Majid

Brief Biography

Jesper Emilsson

Brief Biography

Kasturi Devi Kanniah

Brief Biography