Forest fires are contributing significantly to the acceleration of deforestation. Monitoring and mapping these fires are crucial, and remote sensing technology has proven effective for this purpose. This research employs remote sensing methods to evaluate the severity of a forest fire in Kampung Balai Besar, Dungun. The incident, covering a 23-hectare area, occurred on 15 June 2021. Initial data processing utilized Sentinel-2 satellite images from 14 June 2021 (pre-fire) and 19 June 2021 (post-fire). The extent and severity of the fire were assessed using the Normalized Burn Ratio (NBR) index derived from satellite images. Different levels of burn severity were classified based on the extracted NBR, and classes of the calculated index value were generated accordingly. The severity level and intensity of the burn were analyzed using the Difference Normalized Burn Ratio (dNBR) index. This spectral index aided in assessing the severity of the forest fire in Kampung Balai Besar. The findings revealed that 13.9% of the area experienced low severity burns, 47.2% had moderate to high severity burns, and 38.9% exhibited high severity burns. In summary, areas with moderate to high and high severity burns showed more significant damage, while unburned areas displayed higher vegetation productivity. The study successfully identified the burned area in Kampung Balai Besar, providing valuable information for early decision-making and effective forest management planning.
1 November 2019 in IOP Conference Series: Earth and Environmental Science
Understanding concepts of a proper disease transmission risk is not a straightforward process. In the context of tuberculosis (TB) dynamics, the concepts require the exploration of two meticulous criteria to produce an accurate epidemic modelling of the risk areas of the disease. The criteria include interpreting the biological transmission of the disease and applying multidisciplinary approaches. Spatial statistics were used to evaluate the preferences of risk factors in Shah Alam, Malaysia. GIS-multicriteria decision making (MCDM) method and logistic regression method were specifically integrated to select the local risk factors and seven influential factors were ranked accordingly i.e. human mobility, high risk group, socio-economic status (SES), population, type of house, distance of factory and urbanisation. Each has relative risk rate that affects the cases and the combination of them will even impact more on the overall risk concentration of TB. Human–based factors are identified as dominant effects to the risk than biophysical factors, for example, a location of TB risk will be increased by four times if individuals are living together with people who have TB disease for a particular time period. This geospatial method is expected to predict a better factor prediction in identifying hotspot areas of the disease.
In Malaysia, the implementation of GIS in the LIS is in early stages and still no extensive studies are done in this field yet. The current problem of the UiTM Library System (OPAC) is to find the exact location of library materials particularly books. GIS is an application with the power of tools which enable a user to manipulate, store, analyze the data or information. The aim of this study was to design and develop the Geographic-Based Library Information System (GeoLIS) using GIS technology and other information system tools. The objectives of this study were, i) to carry out user requirements analysis for development of GeoLIS , ii) to design the GeoLIS, iii) to develop the GeoLIS and to test the performance of the GeoLIS. The methods used in this study were adapted from standard System Development Lifecycle (SDLC). Network Analyst in ArcGIS, Microsoft Visual Basic 6.0, Map Object, and Microsoft Access were software used in developing the GeoLIS. The user requirements analysis was distributed to the selected users using interviews, observation and questionnaire. The result of user requirements showed that the current system used by UiTM (OPAC) had several limitations, particularly it could not facilitate the student to find exact location of the book and need to be improved. Therefore, the proposed system (GeoLIS) allowed the user to perform database query or book searching, provide user with map direction of the book and detail information about the book such as image, description and review. The GeoLIS could also be used by the PTAR's organization and users as a searching reference for any future library management and development.
20 March 2020 in Environment-Behaviour Proceedings Journal