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During recent decades, urban sprawl has been substantially debated in the literature, carrying significant social, economic and environment implications, much earlier than of sustainable development concept being introduced. Often, urban sprawl is defined in terms of undesirable development. Urban sprawl is also associated with negative urban expansion and excessive resource consumption. To mitigate urban sprawl, urban growth management has been timely implemented by understanding urbanization characteristics and their socio-environment and economic driving forces. While sustainable urban development is a highly developed spatial form of integrated cities, urban sprawl mostly occurred in lower densities accompanied by expansion of urban periphery, is acknowledged as the opposite force, with its character of scattered and leapfrogging development. Therefore, urban sprawl is the most impactful urban development patterns that occurred at an unprecedented rate that threaten sustainable development. This article examined the characteristics and the consequences of urban sprawl and how it affects sustainable development.

Malaysia’s heritage structures are facing challenges due to rapid local development and societal challenges that threaten their cultural and artistic values. Improving conservation approaches in this context is an urgent and crucial task. The application of geo-information technologies in laser scanning, photogrammetry, and geographic information systems (GISs) has significantly improved these conservation approaches. In this study, we fused drone images and range data from a laser scanner to construct a high-resolution three-dimensional GIS city model for one traditional Malay settlement located in Malaysia. The results showed that fusing photogrammetry and laser scanning can effectively capture the architectural uniqueness of Malay buildings, including specific façade geometries on walls, roofs, and motifs. The findings show that the development of various geoinformation approaches can assist with the conservation of Malay city heritage in this region.

The rapid development and growth of drones as a remote sensing platforms as well as advances in the miniaturization of instruments and data systems, have resulted in an increasing uptake of this technology in the urban areas and remote sensing social community. This paper attempt to review a development of UAV/Drone remote sensing applications in urban areas and it can resolve issues respectively. The classification, design methods and challenges has been discussed appropriately and at the end we suit to urban applications. We found that the evolution of UAV/drone based remote sensing is efficient to solve an urban issues nowadays simultaneously ensure the sustainability and resiliency of urban areas.

Landsat observation has numerous potentials as a quantitative approach in regional scale monitoring of urban growth and environmental change. To achieve this approach, three Landsat data of year 1991 (TM), 2005 (ETM+) and 2019 (OLI-TIRS) has been acquired, classified, and accurately assessed. The research assesses spatio-temporal urban growth, its pattern and land use land cover (LULC) changes of using Normalized Difference Vegetation Index (NDVI) and Normalized Difference Building Index (NDBI) analysis. NDVI were performed for vegetation monitoring especially on loss of vegetation land while NDBI were performed for identification of dense urban and built-up areas. The NDVI and NDBI density results show a significant decreased of vegetation land and a leap up increased of urban and built-up land use. This indicates a significant rapid growth development and a vast transformation of agricultural and forest land into low density development. A rapid urban growth of regional development corridor has significant influence on environment change especially to their periphery. The utilization of both NDVI and NDBI as surrogates has the capability to provide dynamic view and improve the accuracy of land use land cover change analysis. The study showed urban growth has quadrupled from 1991 to 2019 with most rapid growth was from 1991 to 2005 due to greater low-density development and a discontinue growth pattern in the past years compare with much sustainable higher-density development in the recent years.

In contemporary cemetery management planning, the use of the Object-Oriented Classification Approach (OBIA) stands out as an innovative methodology, providing a sophisticated means of exploring and understanding burial grounds by leveraging high-resolution aerial imagery captured from drones. This study delves into the application of OBIA in the extraction of burial plots, aiming to contribute to the systematic management of a Muslim cemetery area and optimize burial space arrangements. Subsequently, these plots are extracted into GIS software, facilitating a comprehensive spatial analysis. OBIA emerges as an efficient method, outperforming traditional approaches, to identify and classify burial plots. The technique successfully maps intricate burial plot patterns and distributions, providing a detailed overview of the cemetery landscape and enabling the calculation of burial density. Beyond its technological contribution, this research offers practical insights for the enhanced management and planning of Muslim cemeteries, ensuring both respectful and efficient use of these sacred spaces. The success of OBIA suggests its potential integration into broader cemetery management practices, paving the way for automation and contributing to sustainable cemetery space utilization.

Land subsidence is the process through which the surface of the Earth gradually sinks or suddenly sinks due to the movement of earth components occurring below the surface. Subsidence can occur suddenly or gradually. The impacts of permanent inundation, which might make the environment of the settlement area worse, will raise the risks and challenges that the population will face in the future. These risks and challenges may include things like natural disasters and economic instability. This is true especially because cities that are inundated will enhance the dangers and difficulties that the population would have to face. The objective of this article is to provide a comprehensive overview and systematic literature on sink cities and land subsidence and how it affects the development of coastal cities in Malaysia. It examines how development contributes to land subsidence and sink cities in coastal area. According to the findings, cities in various countries, including Malaysia, have been affected by land subsidence. Based on the research, cities, and land in countries like Indonesia, Bangladesh, and Vietnam are sinking due to land subsidence. As a result of land subsidence, changes in land use have occurred, the most noticeable of which are those associated with the erection of structures and residential areas in the coastal zone. The findings indicate that Malaysia is one of a select number of nations where sinking cities and land subsidence occur. Seawalls, breakwaters, gabions, groynes, and sluices are some of the potential solutions to the problems created by subsiding land and sinking cities. The purpose of these regulations is to forestall the development of \"sink cities\".

Integrating Artificial Intelligence technological advancements in archaeology has revolutionised automated feature detection, presenting a novel perspective on archaeological feature recognition and image interpretation. This approach reduces costs associated with ground data collection and enhances the reliability and productivity of large-scale archaeological mapping. Consequently, this study aims to explore feature detection and matching techniques in archaeological detection using Artificial Intelligence and Scale-Invariant Feature Transform and Oriented Fast and Rotated Brief algorithms, which are frequently employed in image processing applications as a feature descriptor within the Bag-of-Visual-Words framework. The high-resolution multispectral satellite SPOT image maps potentially hidden archaeological features in Bujang Valley, Kedah, Malaysia. The expected outcome involves presenting a BoVW model capable of accurately detecting hidden archaeological features within the generated maps, thereby providing valuable insights into the extent and distribution of archaeological remnants in the targeted regions.

The concept of urban sprawl spans multiple dimensions indicating how urban built-up land cover adds up throughout exurban landscapes. These different dimensions of urban sprawl require a re-examination of definitions and their driving forces because certain policies were formulated from the proposition of informed knowledge and have implicitly gratified urban sprawl into adjoining urban peripheries. This article aimed to offer an alternative perspective on urban sprawl, contributing to a better comprehension of its definition and driving forces. The revision of urban sprawl definitions into six categories have been done based on their repercussion, unaesthetic design, driving force, undesirable pattern, extended character, and their consequences to the environment, to assist in giving an in-depth understanding of urban sprawl in order to implicate effective policy actions. A revision of the driving forces of urban sprawl into various socioeconomic, institutional, demographic, market and technological factors further support the research on spatial planning and urban growth. It is conducted through a detailed discussion and analysis of evidence retrieved from wide-ranging urban studies literature. An informed decision through understanding the driving force of urban sprawl and addressing the root cause can produce a twofold benefit of socio-environment wellbeing and growth-friendly policy initiatives.

The study deals with the usage of fixed wing unmanned aerial vehicle (UAV) in verifying boundary for gazetted royal land, which the other sight of efficacy of UAV has been tested in area of urban planning. The specific flight planning had been arranged and tested to royal land of Pekan in order to identify the settlement (kampongs) boundaries. Royal land in Pekan was the significant land that existed since 1919, which established under the Royal land Enactment 1919. It accommodated more five thousand residents in the 919 hectares of area with five villages (kampongs). The combination method of aerial mapping and vector digitization in structured a spatial database have been conducted by combining both output from UAV and GIS. The finding shows the royal land boundary was clearly identified in UAV orthophoto; further refine output of its database in GIS data. The additional info building footprints in 5 kampongs land lots also appeared very well in final output. Result shows that, the simple conclusion on the efficacy of fixed wing UAV in managing a land in urban planning, it also proved the dependency of decision makers should oriented more on geospatial applications since it was reliable and able to be used in many planning aspects in order to ensure a sustainability and resiliency of living.

The paper investigates the different approaches in identifying the buried archaeological properties by using two different technology platforms which are aerial remote sensing and ground-based physical sensing; geophysical techniques. Aerial remote sensing has exhibited great potential for archaeological observation and detection, contrasting to geophysical measurement which it's synonymous with geological investigation in Malaysia. On the other hand, by integrating these two platforms, it shows a high potential response depending on the technique apply. Two different perspectives of technology are examined, namely SPOT multispectral remote sensing satellite imagery and geophysical prospection called electric resistivity. In order to determine co-relationships of two variables; several Vegetation Index (satellite datasets) has been correlated to the resistivity (ground-based values) through regression analysis to show the strong connection between variables. The overall outcomes demonstrated that the data fusion technique and regression analysis applied towards multiple sensing datasets is useful to improve the accuracy (estimation) and minimize the error probability in identifying the buried archaeological remains. This research then will be expanded further to explore the capabilities of geophysical technique with another potential platform in identifying the buried archaeological remain in the Malaysian context.