Browsing by Author "M H Jamal"

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    Assessment of River Bank Erosion at Kilim River, Langkawi Using Geospatial Technique
    (IOP Publishing, 2018) H M Suhaimi1; M H Jamal; A Ahmad
    The aim of this research is to assess river bank erosion using remote sensing image and GIS tools in analyzing the impact that caused river erosion by the tourist speed boat. In order to determine the rate of changes of river erosion occurred along the river bank, Digital Shoreline Analysis System (DSAS) software is used in this research which highlight two main statistical analysis of Net Shoreline Movement (NSM) and End Point Rate (EPR) of both sides of the river bank.
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    Land Use/Land Cover Mapping for Conservation of UNESCO Global Geopark Using Object and Pixel-based Approaches
    (IOP Publishing, 2018) M K A Halim; A Ahmad; M Z A Rahman; Z M Amin; M F A Khanan; I A Musliman; W H W Kadir; M H Jamal; D S Maimunah; A K A Wahab; M M A Zabidi; N M Suaib; R M Zain
    This study aims to map and evaluate digital classification methods of mapping of LULC using Very High Resolution (VHR) Quickbird satellite imagery in one of the Langkawi UNESCO Global Geopark, that is Kilim Karst Geoforest Park (KKGP) which is located at northeast of Langkawi, Kedah, Malaysia. Object-based and pixel-based classification methods were explored and compared. Object-based method involved multi-resolution segmentation part where scale parameter, shape and compactness should be assigned as accurate as possible, so that the image is segmented to homogenous area. Both segmentation and classification processes were conducted in e-Cognition software. While, a supervised classification, Maximum Likelihood Classification (MLC) involved selection of training areas was used for pixel-based method using ERDAS Imagine software. Then, classification accuracies were assessed by comparing both techniques using error matric and Kappa coefficient.
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    Spatio-Temporal Analysis of River Morphological Changes and Erosion Detection Using Very High Resolution Satellite Image
    (IOP Publishing, 2018) N Mohamad; M F A Khanan; I A Musliman; W H W Kadir; A Ahmad; M Z A Rahman; M H Jamal; M Zabidi; N M Suaib; R M Zain
    Spatio-temporal analysis of Kilim River using Very High-Resolution (VHR) satellite image between the years of 2005 and 2012 are vital to assess river morphological changes and erosion detection over the specific time duration. Therefore, this study utilizes remote sensing and Geographical Information System (GIS) capabilities to identify the channel migration and shifting as well as to calculate the rate of erosion and accretion.