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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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Automatic Image Processing for Detecting Courtyards Geo-Locations of Urban Fabric of ‎Mosul Old City Ismaeel, Emad Hani; Omer, Mazin Jaber; Al-Nima, Raid Rafi
Geoplanning: Journal of Geomatics and Planning Vol 12, No 1 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.1.1-14

Abstract

In the post-conflict periods, cities often suffer significant damage, requiring more effort to rebuild. However, proper reconstruction requires documentation of the previous urban fabric. Aerial photography is an important element in documenting the components of the urban fabric. In 2017, extensive destruction occurred in many areas of Mosul's Old City (MOC), with some districts suffering so much damage that the distinctive urban fabric was lost. The MOC is characterized by its dense urban structure and the presence of internal courtyards within its buildings. This paper aims to utilize historical aerial photographs to relocate the position of building courtyards in parts of the MOC urban fabric, as one of the first steps in a comprehensive plan to represent them in the absence of the necessary documents and surveys. The methodology proposed in this paper involves a series of automated image processing (AIP) stages, where the position of the courtyard can be determined in the form of a network whose geolocation can be easily identified. This study offers a stepwise and semi-automated methodology for courtyard location determination. Furthermore, this study demonstrates the efficacy of applying automated image processing techniques in the context of preventive conservation and protection of urban structures in historic cities. However, the study encountered limitations related to the type and accuracy of the available aerial images. Additionally, the potential use of more advanced software could yield more accurate results or facilitate the generalization of findings to other cities, a direction suggested for future research.
The Ecological Impact of Urban Expansion in Oasis Environments: A combined Cartographic and Landscape Analysis Dechaicha, Assoule; Arab, Walid; Alkama, Djamel
Geoplanning: Journal of Geomatics and Planning Vol 12, No 1 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.1.123-138

Abstract

Current patterns of urban expansion are mostly considered as impulsive, leading to numerous negative consequences for our biosphere. This disturbing fact has not gone unnoticed in the sprawling oasis cities of the Algerian Sahara, where palm groves are the primary victim. Furthermore, any approach taken to preserve oasis ecosystems requires considering ecological variables. In this perspective, the present study seeks to highlight the spatial growth process of the Laghouat oasis in southern Algeria, during the period 1986 - 2019. The methodology employed is based on the supervised classification of four Landsat satellite images to initiate a cartographic analysis and a landscape quantification of the land use evolution. The analysis is focused on two LUC classes: built-up areas and palm groves. The results of the cartographic analysis highlighted two completely opposite spatiotemporal trends: a significant growth of built-up areas, against a considerable decline in palm groves. The monitoring of the landscape metrics also revealed two different behaviours: growth by densification and elongation of the urban fabric, versus progressive morcellation and fragmentation of the palm groves. These findings pointed to the negative impact of uncontrolled extensions on both the palm groves and the overall oasis ecosystem. This research highlighted the importance of landscape metrics in assessing various forms of spatial urban growth and may support urban planners in choosing the optimal solutions for oasis sustainability.
Deep Learning for Coastal Erosion Assessment: Case Study of Vietnam’s Coastal Regions Tran, HuuBang; Nguyen, HongGiang
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.139-158

Abstract

Vietnam’s coastal erosion has experienced a significant increase cause climate change and anthropogenic factors over the past decade. This study intends to analyze the trends of coastline erosion, identify the factors that drive it, and utilize deep learning algorithms to estimate the erosion risk in the future. The National Centre for Hydro-Meteorological Forecasting of Vietnam, Open Development Mekong, and Landsat 8 OLI/TIRS satellite pictures taken between the years 2016 and 2022 are the sources of data for the study, in the 52 erosion prone locations across Vietnam’s coastlines. The significant environmental factors for the model are the height of tides, waves, storm intensity, soil porosity, high monsoon rainfall, sea level rise, temperature, and coastal geomorphology. A Pearson correlation analysis indicates the strongest correlation between storm intensity, wave height, temperature alongside a strong negative correlation of tidal height with rainfall and coastal slope. Accuracy of the forecast was performed with five models: Recurrent Neural Network (RNN), Long Short-Term Memory Network (LSTM), Bidirectional Long Short-Term Memory Network (BiLSTM), Bidirectional RNN (BiRNN), and Hybrid RNN_LSTM. Among the tested models, the Hybrid RNN_LSTM outperformed others, achieving R² and a correlation coefficient to gain 0.77 and 0.91, respectively, at the same time, the study emphasized monsoon winds, storms intensity, and tidal height as the most impactful parameters. These findings can form the basis for data-driven policy and management strategies to improve coastal resilience. Further research should consider anthropogenic activities and land use changes to expand scope and improve model accuracy in areas experiencing global erosion.
Empirical Evidence of Environmental Degradation Using Geospatial Technology in Tasik Temenggor, Royal Belum Perak, Malaysia Kamaruzzaman, Kamilia; Salleh, Siti Aekbal; Pardi, Faezah; Abdullah, Muhammad Fuad; Foronda, Vladimir; Khushairi, Zulfadhlan Ahmad; Abu Hassan, Muhamad Soleh; Dom, Nazri Che
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.215-238

Abstract

Freshwater ecosystems are vital ecosystems for life, but in reality, they face severe pressure from anthropogenic activities, climate change, and land use changes. These conditions cause the environmental degradation process to accelerate, as is the case in Lake Temenggor, Malaysia. This study examines environmental degradation in Tasik Temenggor, Malaysia, using geospatial techniques to analyze land surface temperature (LST), normalized difference vegetation index (NDVI), land use and land cover (LULC), water quality, and air temperature. The aim of this study is to identify factors associated with environmental degradation, specifically focusing on climate and meteorological parameters and analyzing their temporal changes through spatio-temporal analysis. Data used were obtained from Landsat 8 OLI/TIRS and field observations, processed using ArcGIS Pro with Principal Component Analysis (PCA) and Weighted Overlay Analysis (WOA). The results show increasing degradation in agricultural and development areas, while forest zones remain relatively stable. Consistent LST classification is applied across all years to ensure valid temporal comparisons. The integration of PCA and WOA demonstrates a robust methodological framework that supports effective environmental monitoring. These findings highlight the practical utility of geospatial techniques in conservation planning and suggest targeted interventions for high-risk areas. In conclusion, this study demonstrates the application of geospatial technology in monitoring and assessing environmental degradation in Tasik Temenggor.
Urban Flood Susceptibility Analysis Using Multi Criteria Decision Analytical Hierarchy Process (AHP) Method: Case Study of Bandung City Agustina, Rena Denya; Putra, Riki Purnama; Susanti, Seni; Setyadji, Agustinus Bambang; Virtriana, Riantini
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.173-186

Abstract

Flood is one of the natural disasters and is supported by bad human habits, of course, this disaster can cause enormous losses, which can take lives. Flood handling certainly requires proper analysis before handling is carried out. Various methods for mapping flood susceptibility can be done, one of which is using the AHP Multi-Criteria Decision method which is considered the most up-to-date and very accurate method in terms of accuracy. This study aims to map the susceptibility of flood hazard in urban areas, especially in the city of Bandung with the help of satellite imagery. The method in this study uses the AHP Multi-Criteria Decision method, where five experts are needed to carry out an assessment in determining the variable weight value, with the variable in question namely; (1) TWI; (2) Elevations; (3) Slopes; (4) Precipitation; (5) Land Cover; (6) NDVI; (7) Distance from Rivers; and (8) Distance from Roads. In addition, this study validates the results of the mapping by comparing the real events of flooding in the city of Bandung in 2002-2022 with the map of the susceptibility of flood hazard in the city of Bandung. The results obtained in this study are flood hazard susceptibility maps created well with validation of 80.20%. In addition, areas that are very at hazard of being affected by flooding are the East Bandung area (Mandalajati, Ujungberung, Cibiru, Gedebage, and Panyileukan) with a high hazard of over 75%, and an extreme hazard of above 0.1%.
Extended Continental Shelf Under UNCLOS 1982: A Comprehensive Analysis of State Submissions Taftazani, Muhammad Iqbal; Arsana, I Made Andi; Widjajanti, Nurrohmat; Schofield, Clive
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.267-278

Abstract

The United Nations Convention on the Law of the Sea (UNCLOS) establishes a framework for coastal states to confirm their continental shelf beyond 200 nautical miles from baselines, often referred to as the Extended Continental Shelf (ECS). This procedure, outlined in UNCLOS Article 76, requires states to submit extensive scientific and legal documentation to the United Nations Commission on the Limits of the Continental Shelf (UN-CLCS). While the technical and legal aspects of ECS delineation have been widely studied, research focused on the process’s broader effects on geospatial governance and marine spatial planning (MSP) is limited. This study aims to examine how the ECS delineation process contributes to geospatial governance and provides a spatial foundation for marine spatial planning. This research addresses this gap by analyzing the executive summaries of 34 successful ECS submissions receiving formal UN-CLCS recommendations. Using qualitative content analysis, the study examines specific criteria states have employed, including their survey methods, data sources, and how they applied UNCLOS formulas and constraints. The data include bathymetric, geophysical, geological, and sediment thickness information from national and international sources. The findings show that bathymetric surveys are used in all submissions, with many states also applying both the Gardiner and Hedberg formulas while consistently adhering to the 350-nautical-mile and 100-nautical-mile-beyond-2,500-m-isobath constraints. The study also highlights the key role of current and former UN-CLCS members in providing expert advice to ensure submissions are scientifically sound and legally valid. Beyond technical aspects, the ECS submission process improves geospatial clarity, decreases jurisdictional uncertainty, and supports sustainable ocean governance.
Spatial Upgrading of Riverbank Slums Towards Sustainability of Watershed Infrastructure Mukaromah, Hakimatul; Permana, Chrisna T; Sa'adah, Zumrotus
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.187-196

Abstract

Due to limited land availability, riverbanks are frequently the preferred location for the establishment of slums or squatters. The expansion of these areas can diminish the capacity and sustainability of urban drainage system. It is envisaged that the upgrading of slum settlements on riverbanks will not only enhance livelihood levels but also contribute to the watershed's sustainability as primary drainage. The research study area is Kampong Mojo, a pilot project for slum upgrading along the Bengawan Solo River. This article seeks to determine how slum upgrading and infrastructure can contribute to the sustainability of the Bengawan Solo watershed’s supporting infrastructure. In this study, qualitative and spatial analysis were utilized, with data support provided by field observations, interviews, and document research. Furthermore, data and information will be analyzed in three stages: (1) mapping the land use change of infrastructure and settlement along the river; (2). identification of settlement riverside upgrading models; and (3). analyzing the relevance of settlement planning on the sustainability of the watershed infrastructure. The findings of this study indicate that, for a river to function optimally as a primary drainage and flood control system, it is essential to promote the development of watershed-supporting infrastructure by strategically structuring land use along the river and enhancing the community’s capacities. This study highlights the significance of an integrated approach to slum management, thereby facilitating the government's capacity to implement more inclusive and sustainable riverbank management.
Classification and Monitoring of Kahayan River Riparian Zone Settlement Expansion Utilizing Satellite Imagery to Prevent Environmental Damage Sutrisno, Herwin; Susi, Theresia; Hartanto, Singgih; Perkasa, Petrisly; Supriadi, Benong; Mantana, Handri
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.159-172

Abstract

As the population residing along the Kahayan River increased, many tall trees were cut down. This rapid growth of settlements negatively impacted environmental quality and accelerated soil erosion. Human activities such as tree logging and mining further aggravated erosion along the riverbanks, increasing the risk of flooding and damaging ecosystems. Settlements on the riverbanks became vulnerable to flooding, especially during heavy rains, which could destroy buildings and cause significant financial losses. This study aims to understand the relationship between settlement development and forest loss in the riparian zone of the Kahayan River in Palangka Raya City. To achieve this goal, high-resolution imagery and Geographic Information System (GIS) were used in conjunction with periodic satellite image classification methods. The main findings of the study show a drastic landscape transformation. During the study period, settlement areas expanded exponentially by 412%, increasing from 47.44 hectares to 243.07 hectares. This trend inversely correlated with a significant 57% reduction in riparian forest cover, decreasing from 390.08 hectares to 166.66 hectares. These findings have dual implications. Institutionally, the data provide an urgent empirical basis for local governments to formulate stricter and more effective spatial planning policies. Theoretically, this study strengthens understanding of the cause-and-effect relationship between urbanization processes and the degradation of sensitive riparian ecosystems. This quantitative evidence underscores the need to integrate urban planning and environmental conservation to achieve sustainable development.
Spatial Classification of Sentinel-2 Satellite Images with Machine Learning Approach Nursidah, Dea Ratu; Fauzan, Achmad; Setya Adhiwibawa, Marcelinus Alfafisurya
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.253-266

Abstract

Urban expansion and land use change are increasingly critical issues in developing regions, where rapid development often leads to unplanned growth and environmental challenges. Accurate and timely classification of built-up and non-built-up areas is essential for supporting sustainable spatial planning and resource management. This study aims to classify built-up and non-built-up areas from Sentinel-2 satellite imagery using a machine learning approach and to analyze their spatial distribution around the Universitas Islam Indonesia (UII) campus. Three machine learning algorithms—Support Vector Machine (SVM), Logistic Regression (LR), and Decision Tree (DT)—were applied to perform the classification, and their performances were evaluated using four metrics: accuracy, sensitivity, specificity, and Area Under the Curve (AUC). Among these, the SVM method demonstrated the best performance based on the highest average accuracy, the smallest variance difference between training and testing datasets, and consistent results across multiple iterations. Using the classification results from the best-performing model, a spatial density proportion analysis was conducted. The findings revealed a clear spatial trend: areas closer to the UII campus exhibited a higher proportion of built-up land, while areas located farther from the center had a greater share of non-built-up land. These results confirm the effectiveness of the SVM algorithm for land cover classification using Sentinel-2 imagery and offer valuable insights into urban development patterns in the study area. The outcomes of this research can inform urban planners and policymakers in developing data-driven strategies for sustainable land use, infrastructure development, and campus-centered regional growth planning.
Integration of AHP and GIS to Derive Walkability Index for Women to Access Rail-Transit Stations Nazri, Nur Intan Marlissa; Naharudin, Nabilah
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.239-252

Abstract

This study utilized Geographic Information Systems (GIS) and the Analytical Hierarchy Process (AHP) to develop a walkability index for women in accessing rail transit stations. By integrating spatial analysis and multi-criteria decision-making techniques, it addressed key factors such as accessibility, comfort, traffic safety, and attractiveness from a gender-specific perspective. The aim of the research is to identify barriers women face in accessing public transportation and provide actionable insights for urban planning. Expert and public input were gathered to determine the weightage of criteria influencing walkability. Pairwise comparisons through AHP were used to ensure consistent weighting of criteria, while GIS was employed to map and analyze walkability indices. The findings emphasized the need for inclusive urban planning that considers women's unique safety and mobility concerns, offering recommendations for tailored policy interventions. The study demonstrates the effectiveness of GIS and AHP in evaluating walkability, incorporating physical and social dimensions to reflect women’s needs in urban environments. Recommendations include integrating real-time data, engaging diverse groups through surveys and focus groups, and expanding the model to other demographic groups. The research highlights the role of enhanced walkability in promoting mobility, increasing public transit use, reducing congestion, and improving public health. Future studies should refine methodologies, incorporate dynamic data, and broaden assessments to ensure equitable and sustainable urban development. This approach underscores the importance of addressing gender-specific needs to create safer, more accessible, and inclusive cities.

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