Sustainability of Georgetown as world heritage site is a primary objective and urgent problem to be address by TheState Government in Penang. The aims are to develop Web GIS solution and 3D visualization for sustainability of Georgetown as World Heritage Site. The objective of this research is to study concept and principles sustainable development and to construct the Web GIS solution with 3D visualization of Georgetown. Methodology used to generate 3D building from building footprints that have actual height and produce a virtual 3D city model environment. Through the web based, the users enable to visualize the present and for future of urban development. With the advanced Geographic Information data which were made accessible on the Internet by Web GIS solution technology offered an effective medium for public participation. For Web GIS solution each of building have information about category of building, section, architecture style, road name, building name and building number. This web based also provides or demonstrates the capacity to view, manipulate and distribute geographic data via WWW in an effective, organized user friendly manner. The platform can be used by a public and many agencies to access and acquired geospatial data and information. As the final outcome from Web GIS solution will enable user to interact with GIS data and maps on the Web without have to own GIS software. Planners, architects, urban designers, and land use planners are able to visualize the impact of urban design projects and proposed land use and zoning changes or predict the results of smart growth initiatives towards sustainability of Georgetown as world heritage site.
A sustainable management for the mangroves has not only provided consistent yield of renewable forest wood products such as timbers that are utilized for firewood, poles for foundation, construction materials, fishing gear and even tannin extraction, but also fishery resources and conductive environment for practice of non-destructive aquaculture activities. Mangrove play an important role in providing sites for nature education, general recreation, mangrove ecosystem research and in maintaining vital habitats for diversity of fauna and flora. Geographic Information System (GIS) become more popular and important in vary purpose such as vegetation, plantation, development and etc. The use of GIS in producing updated information, faster and helps in making the decision. GIS application in analyze the suitable area to crop fruit, mangrove plantation etc, that is constitute a research model to evaluate system in future. In this research study, GIS (IDRISI) is used as a tool in making an analysis and decision for producing a map for the determination of suitable area to plant mangrove at Tanjung Karang, Selangor. This research study is focus on producing a map that shows suitable and sustainable place to plant mangrove. The constraints are topographic information that shows the coastal area, soil types, and also the ph values of water. Based on this research study, the result is able in helping the decision maker to make their solution in planning for the determination of sustainable mangrove location in more effective and efficient.
There are two main types based of remote sensing which is known as optical based and radar based. This study related to investigation of the use of AIRSAR imagery compare to SPOT imagery for land cover mapping purpose. Covering the Muda Merbok area as a case study, 10 meters resolution of airborne (AIRSAR imagery) and 20 meters resolution of optical based (SPOT imagery) which has been resample into 10 meters resolution output were used. The imageries used were at same year 2000. Both imageries had been processed by using ENVI (for AIRSAR imagery) and ERDAS IMAGINE (for SPOT imagery). The synthesize or decompress data, slant to ground range conversion, mask pixels of extreme values, antenna pattern correction and speckle removing were among the steps in AIRSAR data processing. For SPOT imagery the general steps like geocoding, subset, clumps, eliminate and recode were used. The supervised classifications for both images were performed to produce the classification maps. From these two images processing, comparison between both of the images were performed and then the land cover mapping for AIRSAR and SPOT were produced. It is found that land cover mapping based from the AIRSAR imagery is also reliable for land cover mapping compared to SPOT imagery.
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