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Geoplanning : Journal of Geomatics and Planning
Published by Universitas Diponegoro
ISSN : -     EISSN : 23556544     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Geoplanning, Journal of Geomatics and Planning (E-ISSN: 2355-6544), is an open access journal (e-journal) focusing on the scientific works in the field of applied geomatics technologies for urban and regional planning including GIS, Remote Sensing and Satellite Image Processing. This journal is published every six months in April and October (2 issues per year), and developed by the Geomatics and Planning Laboratory, Department of Urban and Regional Planning, Diponegoro University
Arjuna Subject : -
Articles 181 Documents
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Mapping Landslide Vulnerability using Machine Learning Approach along the Taba Penanjung-Kepahiang Road, Bengkulu Province Abrar, Camelia Batun; Lubis, Ashar Muda; Fadli, Darmawan Ikhlas; Akbar, Arya J; Samdara, Rida
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.43-56

Abstract

Landslides occur when masses of rock, debris or soil move due to various factors and processes that cause land movement. The Taba Penanjung-Kepahiang route is one of the areas in Bengkulu Province that is highly prone to landslides. This causeway is the only fastest land route connecting the Bengkulu-Kepahiang area. In recent years, the road area has often been cut off due to landslides and fallen trees, which have caused road access to be cut off and obstructed and claimed lives. This study uses a Machine Learning (ML) and GIS approach with Variable Frequency Ratio using 16 independent factors obtained from the spatial database and DEM, which correlate with landslide events. This research aims to gain an in-depth understanding of the factors that cause landslides. In addition, the research focus is the development of a Disaster Mitigation Model to design and implement effective strategies to reduce the risk and impact of landslide disasters through in-depth analysis The dependent factor is the location of the landslide from the historical landslide area for the last five years, with a distribution of 70/30%. Furthermore, frequency ratio is used to analyze the correlation between conditioning factors and historical landslides. Then, the independent and dependent factors were normalized to create a landslide susceptibility map. Frequency Ratio (FR) indicates the likelihood of an event occurring, with drainage density (FR= 0.69), shear wave velocity (Vs30) (FR= 0.66), slope (FR= 0.60), and rainfall (FR= 0.55).  The output of the processed data is in the table below.
Illustration of Rapid Urban Growth in Surkhet Valley of Nepal via Land Use and Land Cover Dynamics Budha, Padam Bahadur; Bhardwaj, Ashutosh; Thapa, Rajesh Bahadur
Geoplanning: Journal of Geomatics and Planning Vol 10, No 2 (2023)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.10.2.167-178

Abstract

Surkhet Valley hosts Birendranagar City which is the capital of Karnali Province of Nepal and there is a rapid change in the landscape of this valley. This change can be attributed to its designation as an administrative capital and the leading economic center of the province. Thus, this study aimed to observe the changing land use and land cover (LULC) patterns of Surkhet Valley. Object-based image analysis was carried out for image classification for Landsat images of years 1989, 1999, 2009, and 2019. Key findings, for the area of 103.15 km2 Surkhet Valley, showed decreasing area of cultivated lands and increasing spatial coverage of built-up areas. The cultivated lands that measured 42 km2 for the year 1989 had plummeted to just 28.23 km2 in 2019. On the other side, the area covered by built-up class was only 1.16 km2 in 1989 which rose to 15.41 km2 in 2019. The changes in LULC coverage of other classes such as forests, shrub/grassland, sand, and water were negligible. The rate of change in the area of LULC classes built-up and cultivation was near but in the opposite direction. Built-up had an increasing rate of 0.49 km2year-1 while cultivation area had a decreasing rate of -0.46 km2year-1. When the built-up area of 2019 was compared to the base area of 1989 it had a gain of 1270.46% indicating its rapid growth in the past three decades. These reflected an increasing trend in spatial coverage of built-up areas indicating rapid urban growth.    
Application of Remote Sensing and Geographic Information System in Identification of Urban Growth nodes: A Case of Surat City, India Sheladiya, Kaushikkumar Prafulbhai; Patel, Chetan R.
Geoplanning: Journal of Geomatics and Planning Vol 10, No 2 (2023)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.10.2.97-110

Abstract

With the passage of time, the city's growth behavior will not change unless and until the government intervenes, and thus its identity will shift from monocentric to polycentric to meet the needs of citizens. As a result, this study is being conducted to identify emerging growth nodes within a selected area of Surat City, as well as their growth drivers over a 30-year period. Quantified built-up area within a patch size of 1km x 1km was used to compute patch density at five-year intervals from 1991 to 2021. In addition, the spatial changes that occurred within patches over the same time period were examined. Both analyses aid in determining the emerging growth nodes over a 30-year period. From 1991 to 2021, the city was driven by socioeconomic criteria such as land price, availability of good health and educational facilities, water and sewerage networks, fire stations, proximity factors such as proximity to major roads, bridges, bus stations, metro, railway stations, airport, environmental factors such as the development of riverfront and linear park, bio-diversity park, and government interventions in terms of Town Planning Schemes. This study thus aids urban planners and decision-makers in selecting which growth nodes to plan for new development and type of development, what to connect, and what to protect in the years to come.
Tracking the Temporal Changes in Land Surface Temperature, Vegetation, and Built-up Patterns in Rizal Province, Philippines using Landsat Imagery Sobremonte-Maglipon, Pauline Angela; Olfato-Parojinog, Anne; Almadrones-Reyes, King Joshua; Limbo-Dizon, James Eduard; Dagamac, Nikki Heherson A
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.71-84

Abstract

The Rizal Province was subjected to a series of natural and human-induced disturbances throughout the years. Currently, the area is undergoing urbanization which in turn results in shifts in the extent of impervious surfaces that can intensify heat-related health concerns, increase energy consumption for cooling, and alter local weather patterns. This study uses remote sensing images from to quantify the various environmental considerations that remain undocumented and unmapped for areas caused by changes in land use and land cover from Landsat Collection 1- Level 1 (Landsat 4-5 ™ C1- Level 1 & Landsat 8 OLI/ TIRS C1 Level 1) and calculated three parameters namely, (i) Land surface temperature (LST), (ii) Normalized Difference Vegetation Index (NDVI), and (iii) the Normalized Difference Built-up Index (NDBI). The results showed the following: (i) an increase in the vegetation cover from 1993-2020 showed a decrease in LST from 29.34°C to 24.03°C, (ii) the relationship between LST and NDBI is directly proportional, whereas an inversely proportional relationship can be observed between LST and NDVI, and (iii) there is a fluctuating LST due to the changes in the land cover of the study site for almost three decades. This implicates the extensive shift in the ambient temperature of Rizal which further emphasizes the effects of the modification in certain land use land cover classifications, especially in vegetation cover and urban development. This highlights how human-induced and natural factors significantly contribute to the release of heat and ambient temperature, thus, accentuating the need for sustainable urban planning.
Sonic Justice and Tree Equity: Exploring Spatial Correlations between Aviation-Related Noise, Demographics, and Tree Canopy Rodriguez-González, Mayra I; Torres-Garrido, Kevin G
Geoplanning: Journal of Geomatics and Planning Vol 10, No 2 (2023)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.10.2.179-184

Abstract

The intricate relationship between aviation-related noise pollution, demographic factors, and tree canopy cover can hold significant implications for targeted interventions promoting environmental equity, sonic justice, and sustainable urban development. This study offers a geospatial exploration of these interconnections within the continental United States by employing National Transportation Noise Pollution data from the United States Department of Transportation alongside tree canopy cover from the United States Geological Survey’s National Land Cover Database and demographic data from the American Community Survey in a correlation analysis. Our analysis reveals stark disparities in noise exposure levels, notably underscoring that low-income and predominantly Hispanic neighborhood shoulder a disproportionate burden of aviation-related noise. Moreover, a correlation between aviation-related noise pollution and low tree canopy cover suggests a potential avenue for utilizing nature as a buffer against heightened noise levels. However, recognizing the delicate equilibrium between fostering a thriving tree canopy and ensuring aviation safety highlights a need for innovative urban planning solutions capable of simultaneously addressing sonic injustice and tree inequity.
Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia Wijaya, Muhammad Sufwandika; Kamal, Muhammad; Widayani, Prima; Arjasakusuma, Sanjiwana
Geoplanning: Journal of Geomatics and Planning Vol 10, No 2 (2023)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.10.2.123-134

Abstract

Mapping and inventory of the distribution and composition of mangrove vegetation structures are crucial in managing mangrove ecosystems. The availability of airborne LiDAR remote sensing technology provides capability of mapping vegetation structures in three dimensions. It provides an alternative data source for mapping and inventory of the distribution of mangrove ecosystems. This study aims to test the ability of airborne LiDAR data to classify mangrove vegetation structures conducted in Ratai Bay, Pesawaran District, Lampung Province. The classification system applied integrates structure attributes of lifeforms, canopy height, and canopy cover percentage. Airborne LiDAR data are derived into canopy height models (CHM) and canopy cover percentage models, then grouped by examining statistics and the zonation distribution of mangroves in the study area. The results of this study show that airborne LiDAR data are able to map vegetation structures accurately. The canopy height model derived using a pit-free algorithm can represent the maximum tree height with an error range of 3.17 meters and 82.3-88.6% accuracy. On the other hand, the canopy cover percentage model using LiDAR Fraction Cover (LFC) tends to be overestimate, with an error range of 16.6% and an accuracy of 79.6-94.7%. Meanwhile, the classification results of vegetation structures show an overall accuracy of 77%.
Beyond Park Boundaries: Exploring The Effect of Surrounding Land Use on Sound Levels of Parks Lee, Josephine Siaw Ling; Hosni, Nafisa; Rusli, Noradila; Ghani, Nabila Abdul
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.99-120

Abstract

Urban parks in big cities can help reduce noise while providing spaces for recreation and rest, but their size, location and surroundings can limit their environmental benefits. This article will discuss how surrounding land use affects noise levels in a particular park, as well as how park landscaping can limit noise exposure. Four study areas were selected from Kuala Lumpur and Putrajaya to highlight a range of land uses, locations and park sizes. The sound levels were measured twice for each site-morning and evening-using measurement points along the park path and the SL-5868P sound level meter. The results showed that the study area exceeded the recommended noise limit of 55dBA as stipulated by Malaysian Noise Limit and World Health Organization guidelines. In addition, there was a pattern of influence on the measured noise levels based on land use and landscape around the park. Parks located in dense land use have higher noise levels, but have lower variation in noise levels within the park due to higher surrounding noise levels, compared to parks with more than 87% tree cover. The KLCC park, with 76% tree cover, has an overall higher noise level of more than 60dBA, indicating that the tree cover serves as a noise barrier for the park. Therefore, park planning should be tailored to its location and environment, while landscaping can be used to reduce noise levels and keep them within noise limits. In the future, the soundscape idea may be taken into account to enhance Malaysia's park environment.
Agroforestry-Silvopastoral Systems Suitability for the Plateau Landforms: Devrekani Plateau (Northern Turkiye) Duran, Celalettin
Geoplanning: Journal of Geomatics and Planning Vol 11, No 2 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.2.139-148

Abstract

The Devrekani Plateau, located in the Kure Mountains massif (Kastamonu-Türkiye), is a geomorphological unit with flat areas ranging between 1000 and 1300 meters in altitude. Agriculture, animal husbandry, and forestry activities are standard on the plateau. Due to environmental constraints, versatile, holistic, and sustainable land use plans are needed in such high areas. This study examines land use patterns compatible with natural environmental conditions for the Plateau Landforms. Agroforestry-silvopastoral systems where agriculture, pasture, forest lands, and recreational functions are applied together have been evaluated in the study area. Criteria that have a high relationship with land use have been identified. Using Geographic Information Systems, weighted overlay analysis was carried out with factor maps regarding Lithology, Slope, Elevation, and Actual Land Use. The model output reveals that the regions between agriculture and forest are the most suitable for the agroforestry-silvopastoral systems (outside urban areas) and recreation. The most suitable areas for mixed land use plans on the plateau are generally karst areas with sparse vegetation, located above 1200 meters, and having a 6-12% slope. The lower border of these areas is agricultural areas with flat or nearly flat slopes, commonly formed by alluviums. The upper limit consists of forest areas with steep slopes surrounded by high hills. Implementing agroforestry-silvopastoral land use models on plateau landforms can be an effective strategy for sustainable environmental management and land use.
Informal Settlement Characterization and Socio-Economic Vulnerability Assessment in Kolkata Metropolitan City, India Banerjee, Shravani; Diksha, Diksha; Prasad, Alisha; Kumar, Amit
Geoplanning: Journal of Geomatics and Planning Vol 11, No 2 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.2.121-138

Abstract

The study investigates the physical, social, and economic environment of the Kolkata Metropolitan Area (KMA) to elucidate the living conditions of informal settlements and its influence on the local environment using geoinformatics and multi-criteria decision making-analytical hierarchical process (MCDM-AHP). The informal settlements were delineated using high-resolution Google Earth imagery and generic ontology informal settlements. knowledge considering building characteristics, building density, locations of the dwelling units, and their characteristics. The study exhibits that most informal settlements were concentrated in the wards located in the eastern and central parts of the city. The neighborhood land-use functions of the major informal settlements indicated that the informal settlements were highly influenced by green space (R2=0.97), followed by water bodies (R2=0.74), unplanned settlement (R2=0.68) and planned settlement (R2=0.67) in KMA. In addition, the informal settlements were closely associated with very low relief zones (3m to 13m) followed by moderate relief zones (13-23m). The municipal ward-level analysis of the physical-socio-economic health conditions exhibited that most of the areas located in the low vulnerable zones (53.71 km2; primarily in southern, and eastern periphery), followed by very highly vulnerable zones (43.09 km2; primarily in central and northern parts). The study provides an insight into urban areas with special reference to informal settlements and necessitates the implication of effective policy for poverty alleviation. This study encourages the availability of real-time data that can improve mitigation activities in the event of a health disaster, such as SARS COVID-19 through methods for qualitative investigation of disadvantaged locations in Kolkata. 
Traffic Noise Absorption and Propagation in A Three-Dimensional Spatial Environment Wickramathilaka, Nevil Vidyamanee; Ujang, Uznir; Azri, Suhaibah; Choon, Tan Liat; Rupasinghe, Attygalage Ranjith
Geoplanning: Journal of Geomatics and Planning Vol 11, No 2 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.2.149-164

Abstract

The impact of noise barriers on noise propagation is vital for traffic noise calculations and visualizations. Noise barriers create a major noise reduction. Green belts are the most common type of noise barrier to mitigate road traffic noise. The width, height, and surface area of leaves a green belt, as well as the noise absorption coefficient of leaves, are vital for noise absorption. This review aims to compare the characteristics and performance of green belts barriers built for traffic noise reduction. Individual tree canopies play the main role in absorbing noise in green belts. Therefore, identifying the canopy's properties is important. The side scan and nadir scan from the LiDAR survey were used to detect the tree canopy points cloud. The voxel-based, convex hull, and concave hull methods are used to visualize tree canopies in three-dimensional (3D). Concave hull provides an extract fitting surface than convex hull visualization. However, these hull surfaces do not provide accurate estimation of surface area of leaves. Further, voxel-based horizontal layers through the voxel-based profiling describes a significant method to calculate surface area of leaves in tree canopies. Establishing green belts as barriers is more cost-effective, making the former better for developing countries.

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