Project/Research Work

Forest harvesting and sustainability of forest management requires that logging activities should be carry out as little damage as possible to forest ecosystem. Traditionally, forest harvesting in Malaysia especially on harvest planning have relied much on personal experience to guide the decision-making. However, this process is not easily when dealing with large areas and difficult forest accessibility due to increased of data demand and planning process. Nowadays, with the advent of geoinformatics technology and computer modeling, efficient analysis of the geo-spatial information can be done. In Malaysia, the usefulness of remote sensing and GIS modeling in forest harvesting has not been intensively explored. The aim of this study is to develop a spatial decision support model for forest harvest planning in hill forest using remote sensing and GIS to maximize harvesting of timber with reduced impact logging on the forest area, for sustainable development. The methodology developed and utilized in this work could be applied to forest harvest planning in forest area in Malaysia. This study will benefit users in forestry field especially forest managers and planners, also forest engineers in planning forest harvesting operation to consider the environmental constraints. Meanwhile, the decision-making model could be also applied to other decision-making that have policy-related implication .

M.Sc (Applied Remote Sensing)

Forest cover change detection and water yield relationship

in Semenyih and Langat watershed using remote sensing technique (2000).

Bac. Sc. of Forestry (Forest Management)

Integration of remote sensing and GIS for urban forest landscaping at Kuala Lumpur International Airport (KLIA),Sepang,Selangor Darul Ehsan (1998).