Speaker Bio & Abstract

Hazri Bin Hassan Director of Survey (Mapping Policies)
Department of Survey and Mappng Malaysia (JUPEM)

BiographyHazri Hassan serves as Director of Survey and responsible for mapping planning and setting up the policies for the Department Survey and Mapping Malaysia (JUPEM). Having MSc in Photogrammetry and Geoinfomatics from FHT Stuttgart University, Germany. He also register as Professional Surveyor with Land Surveyor Board of Malaysia. He is now appointed as Subject Matter Expert in LiDAR for the government of Malaysia due to involvement in many LiDAR mapping project with JUPEM and numerous government agencies. AbstractThe Hydro Flatten Solution for LiDAR Application on Topographic Mapping: The Perspective from Malaysia Survey and Mapping DepartmentLight Detection and Ranging (LIDAR) is a method of capturing high-density point data that is also known as point cloud. These point cloud data are highly accurate and commonly used to visualize topographic surface in three-dimensional (3D). Today, we can see that several form of LiDAR data captures technique ranging from airborne (fix wing, helicopter, UAVs) to mobile and fixed terrestrial LiDAR scanning. The choice of LIDAR data capture techniques depends heavily on product requirements, specifications and intended usage of the point cloud.

JUPEM being the authority for any survey and mapping activities in Malaysia have been exploring LiDAR technology since year 2004. Since then, numerus government agencies such as Department of Minerals and Geoscience (JMG), Department of Public Work (JKR) and Department of Irrigation and Drainages (JPS), Malaysian Centre for Geospatial Data Infrastructure (MACGDI) within Malaysia have been consulting JUPEM in pursuant of implementing activities that is LiDAR related. In 2016, the National Audit Department have appointed JUPEM as the data auditor on the national level for all government LiDAR project implementation.

This paper shall highlight JUPEMís experience on LiDAR data processing focusing on issues and mitigation efforts of hydro flattening process using tropical rainforest LiDAR dataset of Malaysia