Mokhtar Azizi Mohd Din

Data acquisition and representation of leaves using digital close range photogrammetry for species identification

The surveying technique of close-range Photogrammetry is based on an approach of representation of the image forming mechanism of photography and extract spatial information through computation on photos. This research used the fundamentals of close-range Photogrammetry and is applied to model leaves, measure the geometric model of leaf length and width and compare with the conventional measurement method. Ringed Automated Detection (RAD) coded target are applied in this research. RAD coded target offers automatic detection and matching of points across multiple photographs. The process has a better opportunity to execute with less error even in complex conditions. The process is much faster without worrying about the residual error. The research took two species of leaves, Jelutong leaf, dyera constulata species and Kulim leaf, scorodocarpus borneensis species. Three specimens are taken from each species to identify the shape size and range. These leaves are then taken in photographs and process the images using PhotoModeler software to extract the data.

Tree age estimation by tree diameter measurement using digital close range photogrammetry (DCRP)

The digital close range photogrammetry (DCRP) approach has been used for trees age estimation from its photographs with image analysis. Age of a tree can be determined using diameter or from the circumference, then convert it into diameter of a tree. The aim of this study is to determine the age of a tree by measuring tree diameter using close range photogrammetry technique. Conventional method was used to estimate the age of a tree by determining diameter at breast height (DBH) by using a measuring tape. Three jelutong trees with a different size were used in this study. Finding of the results shows the 3D representation of three sample trees with their circumference and diameter measurement compared to the conventional reading. From the analysis it was found that the different between conventional and DCRP method on tree age estimation on tree id 020, 047 and 053 yields 0.313%, 0.850% and 0.424% respectively.

A Study of Dengue Disease Data by GIS Software in Urban Areas of Petaling Jaya Selatan

The Maplnfo GIS software was used to map dengue data and its relationship to the sanitary conditions in the study site of Petaling Jaya Selatan, Selangor, Malaysia. The study utilized dengue data provided by the Petaling Jaya Municipal Health Unit and it was integrated with the Petaling Jaya map to pictorially present information about the affected areas. The software gives a rapid identification of the locations of dengue cases through a graphics display. This multi racial residential area reported 35 cases of dengue over a seven-month study commencing between November 1998 and June 1999. The racial breakdown of patients was 57% Chinese, 20% Indian and 23% Malay among which 54% was female and 46% male. Based on the on-site survey, it was observed that the affected areas have very poor sanitary living conditions. This study concluded that poor sanitary conditions were the most probable cause for the spread of such a disease and the GIS technology has been proven efficient in data collection and presentation of disease incidence for charting immediate corrective and preventive actions.

Integration of GIS and Digital Photogrammetry in Building Space Analysis

A case study using digital photogrammetry approach in collecting information concerning the size of buildings has been carried out in the campus of the University of Malaya. A digital map that consists of spatial data of buildings and infrastructures in the campus is produced. The spatial data are arranged in layers using the base map with the scale of 1:3000. A GIS software called UM-INFO has been developed for the use in analyzing the information as well as for producing report on distribution of building spacious utilization map. Sufficient database such as numbers of floor for each block, areas of floor, numbers of student, numbers of staff etc were input to UM-INFO software. The use of building space for various purposes and other facilities in the campus are identified. Furthermore, the sizes of building space utilities are compared to the guideline by the National Economic Panning Unit of Malaysia. The study has discovered all the faculties and academic centers have at least 3% more than the nominal area except the Faculty of Art & Social Sciences (AFSSO). The AFSSO required another 50% more of the nominal area.