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Kuala Lumpur, Malaysia

Razali S.M.,University Putra Malaysia | Nuruddin A.A.,University Putra Malaysia | Malek I.A.,University Putra Malaysia | Patah N.A.,Malaysian Remote Sensing Agency
Journal of Applied Remote Sensing | Year: 2010

Forest fires are one of the major causes of the deforestation of tropical peat swamps in Malaysia. One way of trying to identify which peat swamp forests are vulnerable to forest fire is to develop a forest fire risk index. The objectives of this study were to develop both a fuel-type map and a forest fire hazard rating assessment for the peat swamp forests. The study was conducted in a peat swamp forest located at Batu Enam, Penor/Kuantan District of Pahang. This area suffered a severe forest fire on 12 March 1998 which degraded the peat swamp area. Digitally processed Landsat Thematic Mapper (TM) satellite image were integrated with geographic information layer of fuel type, roads and canal layer to derive a fire hazard rating map of the area. Using the superior spectral and temporal resolution of a Landsat TM, five fire hazard rating classifications were defined. A forest fire hazard rating map was produced showing that 49% of the area was 'low' fire hazard rating, 23% was 'high', 17% was 'moderate', 10% was 'extreme' and 1% was 'null'. Peat lands within 150 meters of roads and of a canal were identified as having an 'extreme' fire hazard rating. Both the fire hazard rating map and the forest fire hazard rating assessment can be used in future forest fire management planning. © 2010 Society of Photo-Optical Instrumentation Engineers. Source


Yusoff N.M.,University Putra Malaysia | Yusoff N.M.,Malaysian Remote Sensing Agency | Muharam F.M.,University Putra Malaysia
Remote Sensing | Year: 2015

Abandonment of agricultural land is a global issue and a waste of resources and brings a negative impact on the local economy. It is also one of the key contributing factors in certain environmental problems, such as soil erosion and carbon sequestration. In order to address such problems related to land abandonment, their spatial distribution must first be precisely identified. Hence, this study proposes the use of multi-temporal Landsat imageries, together with crop phenology information and an object-oriented classification technique, to identify abandoned paddy and rubber areas. Results indicate that Landsat time-series images were highly beneficial and, in fact, essential in identifying abandoned paddy and rubber areas, particularly due to the unique phenology of these seasonal crops. To differentiate between abandoned and non-abandoned paddy areas, a minimum of three time-series images, mainly acquired during the planting seasons is required. For rubber, multi-temporal images should be examined in order to confirm the wintering season. The study demonstrates the advantages of using multi-temporal Landsat imageries in identifying abandoned paddy and rubber areas wherein an accuracy of 93.33% ± 14% and 83.33% ± 1%, respectively, were achieved. © 2015 by the authors. Source


Aini S.,Malaysian Remote Sensing Agency | Aini S.,University Putra Malaysia | Sood A.M.,University Putra Malaysia | Saaban S.,Km
Pertanika Journal of Science and Technology | Year: 2015

Geographic Information System (GIS) and remote sensing are geospatial technologies that have been used for many years in environmental studies, including gathering and analysing of information on the physical parameters of wildlife habitats and modelling of habitat assessments. The home range estimation provided in a GIS environment offers a viable method of quantifying habitat use and facilitating a better understanding of species and habitat relationships. This study used remote sensing, GIS and Analytic Hierarchy Process (AHP) application tools as methods to assess the habitat parameters preference of Asian elephant. Satellite images and topographical maps were used for the environmental and topographical habitat parameter generation encompassing land use-land cover (LULC), Normalized Digital Vegetation Index (NDVI), water sources, Digital Elevation Model (DEM), slope and aspect. The kernel home range was determined using elephant distribution data from satellite tracking, which were then analysed using habitat parameters to investigate any possible relationship. Subsequently, the frequency of the utilization distribution of elephants was further analysed using spatial and geostatistical analyses. This was followed by the use of AHP for identifying habitat preference, selection of significant habitat parameters and classification of criterion. The habitats occupied by the elephants showed that the conservation of these animals would require good management practices within and outside of protected areas so as to ensure the level of suitability of the habitat, particularly in translocation areas. © 2015 Universiti Putra Malaysia Press. Source


Aini S.,Malaysian Remote Sensing Agency | Patah N.A.,Malaysian Remote Sensing Agency | Sood A.M.,University Putra Malaysia | Saaban S.,National Parks of Malaysia
ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings | Year: 2015

In Malaysia, conservation programs for translocation areas of the Asian elephant (Elephas maximus) started since 1983. Currently, forest fragmentation creates a situation where the protected areas are isolated from one another. Due to competition for resources and space at the release site, protected areas (PAs) are crucial for the Asian elephants as they are dependent on healthy forests for their daily activities, food security and source of water. Thus, a study on the home range and habitat utilization of a translocated elephant is required. This involves analysis of distribution and habitat parameters of this mammal for protection purposes as well as maintenance of environmental stability. This study aims to analyze the habitat preference of translocated Asian elephants at two different sites using remote sensing technology and Geographic Information System (GIS). The home ranges of the elephants using satellite transmitter are investigated as a means to assess the habitat parameters preference and their distributions. The satellite images and topographical maps were used to generate the environmental and topographical habitat parameters encompassing land cover, forest status, Normalized Digital Vegetation Index (NDVI), water sources, Digital Elevation Model (DEM) and slope respectively. Findings of this study showed that there is a strong relationship between distribution of elephant and forest type particularly secondary forest and availability of permanent water sources. However, topographic parameters particularly the elevation and slope, were identified as less significant habitat parameters in elephant distributions. The results of this study confirms that conservation of the Asian elephants require large areas of continuous and effectively protected habitat particularly in translocation areas where the wildlife is best conserved by protecting existing natural habitats. However, tolerance to elephant presence outside PAs is essential where food resources are often abundant for elephants. Source


Yahaya S.M.,Malaysian Remote Sensing Agency | Musa N.C.,Malaysian Remote Sensing Agency | Mansor Z.,Malaysian Remote Sensing Agency | Siham M.N.,Malaysian Remote Sensing Agency | Veloo S.,No. 30
ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings | Year: 2015

Rice is the staple food of many Asian countries including Malaysia. Being an important crop, various efforts have been carried out by the relevant government agencies to increase rice production as well as farmers income. This includes a collaboration project undertaken by Malaysian Remote Sensing Agency and Department of Agriculture Malaysia in developing Paddy Cultivation Management System based on remote sensing technology and Geographical Information System (GIS). A web based system was developed using JavaScript APIs, PHP, Oracle RDBMS and ArcGIS Server. Main objective of the system assist Department of Agriculture Malaysia to monitor closely paddy planting activities by the farmers according to the planting schedule using RADARSAT and high resolution satellite images. There are four major components of the system comprising data entry, data analysis, information retrieval and report generation. Source

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