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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 189 Documents
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Modelling Spatial-Temporal Wildfire Susceptibility Using Geospatial Techniques Over the Table Mountain Nature Reserve, South Africa Syed Tanweer Raza Nujjoo; Patroba Achola Odera
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.12.2.197-214

Abstract

Mountains in Cape Town are generally highly susceptible to wildfire due to the hot-dry summer months and various climatological factors that could aggravate the situation. In fact, the Cape Floral Kingdom in Table Mountain National Park is categorized as the world’s hottest floral hotspot. This study has utilized geospatial techniques to model spatial-temporal wildfire susceptibility over the Table Mountain Nature Reserve (TMNR) from 1978 to 2022 at a nearly 10-year interval epoch. This is achieved by first mapping and categorizing influential factors such as land use/land cover, aspect, temperature, slope, normalized difference vegetation index, precipitation, elevation, and wind speed. The categorized layers are then weighted and numerically integrated to determine wildfire susceptibility (WS) levels based on wildfire susceptibility index (WSI) over the TMNR. Results show that low WS levels occurred only in 1978, 1991 and 2014 with area coverage at 0.1% 0.01%, and 0.6% of the total area of TMNR, respectively. All the epochs contained moderate WS (24.5%; 24.8%; 4.4%; 32.6%; 4.0%), high WS (67.2%; 70.3%; 73.4%; 63.2%; 77.0%) and very high WS (8.2%; 4.9%; 22.2%; 3.6%; 19.0%) for 1978, 1991, 2002, 2014, and 2022, respectively. In general, results indicate increasing wildfire susceptibility over the TMNR, with the northern and western parts being the highly susceptible areas.
Sustainable Livelihood Approach (SLA) using Spatial Model: A Case from Labuan Bajo, Indonesia Ardiyanto Maksimilianus Gai; Ernan Rustiadi; Baba Barus; Akhmad Fauzi
Geoplanning: Journal of Geomatics and Planning Vol 13, No 1 (2026)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.13.1.1-20

Abstract

Despite its economic potential, Indonesia’s rapidly developing tourism hub faces socio-economic disparities. While tourism contributes significantly to local incomes, many communities still struggle with poverty, unequal access to resources, and environmental degradation. Labuan Bajo, located in West Manggarai Regency, depends heavily on tourism, fishing, and small-scale agriculture, yet faces challenges such as seasonal water scarcity, limited infrastructure, and land-use conflicts that threaten sustainable development. While some areas benefit from tourism-driven economic growth, others remain marginalized due to inadequate access to capital assets. The Sustainable Livelihood Approach (SLA) provides a framework for understanding how local assets—human, social, natural, financial, and physical—shape livelihood outcomes. However, livelihoods are spatially heterogeneous and require localized analysis to inform targeted interventions. By integrating Geographically Weighted Regression (GWR), this study aims to identify spatial disparities in livelihood sustainability and the key drivers of economic resilience in different areas of Labuan Bajo. The results provide spatially explicit evidence on livelihood assets and poverty clusters, supporting local governments and communities in designing targeted interventions for employment access, infrastructure provision, financial inclusion, and essential services.
Integrated Flood Risk Mapping and Hazard-Vulnerability Assessment for Mitigation Prioritization in Sumatra Hasan Adi Nugraha; M. Angga Hadi Pratama; Muhammad Alsamtu Tita Sabila Pratama Suhartono; Anjar Dimara Sakti; Ketut Wikantika
Geoplanning: Journal of Geomatics and Planning Vol 13, No 1 (2026)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.13.1.35-60

Abstract

Flood risk in tropical regions such as Sumatra is increasing due to intensified rainfall extremes and rapid urbanization. Although flood hazard mapping is widely applied, many studies do not clearly distinguish physical hazard from socio-economic vulnerability, limiting their usefulness for targeted mitigation. This study proposes an integrated geospatial framework combining multi-parameter flood hazard assessment and a socio-demographic vulnerability index through a bivariate hazard–vulnerability matrix to support risk reduction. The framework was applied to the November 2025 flood events in Aceh, North Sumatra, and West Sumatra, using nine hazard parameters and four vulnerability indicators. Results show that High to Very High Hazard zones cover 21% of the study area, in lowland basins, while 12% of the area falls into the Very High-Risk category. Validation using observed damage data shows that medium-risk (Risk 2) zones, rather than only the highest-risk cores, account for 87.5%–100% of the exposed population across five major cities, capturing 97.5% of affected residents in Aceh Tamiang. The proposed 5×5 bivariate matrix separates risk dominated by physical hazard, socio-economic vulnerability, or their interaction This enables stratified mitigation strategies, ranging from integrated structural and social interventions to targeted engineering and community-based measures, while providing spatially explicit guidance to strengthen flood risk management and support Sendai Framework objectives under climate change.
Landslide Investigation Based on Satellite Remote Sensing and Numerical Modeling: A Case Study of Slope Failure in Kennon Road, Benguet, Philippines Ryan Angeles Ramirez; Jann Rheynald Cañeda; Irvin Olchondra; Mark Morales
Geoplanning: Journal of Geomatics and Planning Vol 13, No 1 (2026)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.13.1.21-34

Abstract

The structural stability and serviceability of transport infrastructure in mountainous regions are increasingly compromised by climate- and human-induced geohazards. Traditional ground-based geodetic monitoring methods, while reliable, are often limited by high costs, labor demands, and restricted spatial coverage. This study aims to develop a cost-effective monitoring framework integrating satellite remote sensing and numerical stability analysis to detect precursory slope movements in mountainous terrains. The study utilized 43 Sentinel-1 (S1) C-band SAR images acquired between January 10, 2022, and May 29, 2023. Using the Persistent Scatterer Interferometric SAR (PSInSAR) method, the research monitored a critical section of Kennon Road in Benguet, Philippines. The S1-PSInSAR analysis identified precursory instability beginning in March 2023, approximately two months before a major slope failure occurred on May 31, 2023, due to heavy rainfall from a super typhoon. The results indicate a maximum cumulative displacement of 34 mm along the radar line-of-sight. These findings were cross-validated using limit equilibrium analysis in Slide2 software, which yielded safety factors (FS) significantly below unity for all methods, confirming the inherent instability of the slope even under dry conditions. The study concludes that despite technical challenges such as dense vegetation and atmospheric interference in mountainous terrain, the integrated PSInSAR and numerical modeling approach provides a viable, near-real-time tool for enhancing the resilience of transport infrastructure networks in the Philippines.
Low-Cost RPAS Photogrammetric Protocol for Multitemporal Monitoring of an Urban High-Andean Wetland: Application to Santa María del Lago, Bogotá César Augusto Gutiérrez-Rodríguez
Geoplanning: Journal of Geomatics and Planning Vol 13, No 1 (2026)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.13.1.89-100

Abstract

Urban wetlands require frequent high-resolution monitoring, yet costs and logistics hamper traditional approaches. This study designs and validates a low-cost photogrammetric protocol using remotely piloted aircraft systems (RPAS) to quantify short-term water-surface dynamics in an urban wetland. Ten fortnightly campaigns were conducted at Santa María del Lago (Bogotá) between 1 May and 4 September 2025 using nadir imagery with 80/75% overlap and a GSD of 2.8–3.2 cm/px. Without ground control points, internal geometric precision was assessed through sub-pixel reprojection error (~0.82 px) and relative scale consistency. Water extent was delineated using HSV thresholding and vectorization with a conservative positional threshold. Over 126 days, water-surface area decreased from 5.60 to 5.20 ha (−0.40 ha; −7.1%), with a median shoreline retreat of 1.1 m and a significant monotonic trend (Mann–Kendall τ = −1.00, p < 0.001). Each campaign required 35–45 min of fieldwork and 2.0–3.5 h of processing, with direct costs of USD 25–40 per flight. The protocol produced reproducible multitemporal datasets with decimetric planimetric sensitivity while reducing time and direct costs relative to conventional monitoring. The protocol proved feasible for high-Andean urban wetlands and potentially transferable to similar environments following local adaptation and validation.
Green to Grey: Spatial Transformation and Urban Expansion of Panjim City -India (2003-2023) Deepak Jyotiba Kumbhar; Nandkumar Sawant; Rajiv Kumar Chaturvedi
Geoplanning: Journal of Geomatics and Planning Vol 13, No 1 (2026)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.13.1.61-74

Abstract

Urban expansion in cities poses critical challenges to sustainability and environmental resilience. The study evaluates the spatial pattern of urban expansion and transformation of Panjim, the capital of Goa, India, from 2003 to 2023. The core focus is to analyze the transformation of green landscapes into built-up areas. Using a combined approach of geospatial techniques, demographic indicators, and the Shannon entropy index, it quantifies patterns of urban expansion and change. The research analyses changes in land use and land cover (LULC), demographic trends, and real estate values. For LULC change, Satellite imagery from IRS LISS III and LISS IV was used to map built-up areas and vegetation loss, while Shannon's Entropy Index was used to measure urban sprawl and spatial dispersion. Results reveal that as the population increases and land values rise, built-up areas increase significantly from 29.37% in 2003 to 34.10% in 2023, accompanied by a sharp decline in agricultural land and vegetation. The core areas of Panjim exhibited optimal land utilization, while peripheral areas such as Bambolim and Chimbel witnessed rapid real estate growth, indicating decentralization. Demographic estimates show a 43% rise in population from 2011 to 2025, with proportionate land value escalation, particularly in outgrowths due to rising demand. The study reveals interconnections among urban expansion, demographic change, and rising land values, highlighting the reshaping of the city and underscoring the urgent need for integrated urban policies that balance infrastructural growth with ecological sustainability.
Bayesian Geoadditive Modeling of Poverty Distribution: A Spatial Analysis of Indonesia Abdul Karim; Toha Saifudin; Nur Chamidah; Agus Riyadi
Geoplanning: Journal of Geomatics and Planning Vol 13, No 1 (2026)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.13.1.111-124

Abstract

Zakat, as an instrument of financial redistribution in the Islamic economy, has significant potential for poverty alleviation; however, the spatial distribution patterns of its impact in Indonesia have not yet been extensively analysed using spatial modelling. In this paper, we measure the spatial pattern of the impact of zakat on poverty data in Indonesia and form a zakat cluster in Indonesia using the Bayesian geoadditive model approach. In this study, we collected data from the Indonesian Central Statistics Agency and the National Amil Zakat Agency (BAZNAS) in 2024, respectively, to map and model socio-economic and spatial determinants, namely the relationship between zakat and poverty in Indonesia. We found strong support for our approach to mapping and modeling flexibly to include spatial analysis. The results of the analysis indicate that zakat has a significant effect on poverty, with a posterior mean of 21,042.1 (SD = 28,142.4; 95% PCI: 12,665.3–30,185.0), where the entirely positive credible interval indicates a consistent spatial association between the distribution of zakat and the concentration of the poor. Furthermore, the structured spatial effects reveal regional heterogeneity with a significant East–West divide: the Papua region exhibits the highest positive spatial effect (up to +317.67), indicating a poverty burden far exceeding the model’s predictions, whilst Java and parts of Kalimantan show a negative effect (up to −317.67), reflecting the greater effectiveness of zakat distribution. The model identifies distinct regional cluster structures, demonstrating significant spatial heterogeneity across regions in Indonesia. The Bayesian geoadditive approach proved superior to conventional models in capturing these non-linear patterns and spatial inequalities. The resulting maps could serve as a new analytical method for policymakers to design more targeted zakat collection and distribution strategies in support of national poverty alleviation.
A GIS-Based Genetic Algorithm-Travelling Salesman Problem Integration for Heritage Tourism Route Optimization Elina Alias; Nabilah Naharudin; Siti Aekbal Salleh
Geoplanning: Journal of Geomatics and Planning Vol 13, No 1 (2026)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.13.1.75-88

Abstract

Heritage tourism route planning frequently encounters spatial and accessibility challenges, particularly in older urban areas where cultural heritage sites are concentrated within a small, narrow, and irregular layouts. Although the Travelling Salesman Problem (TSP) model is widely used for route optimization, it has limitation in addressing real-world tourism constrain related to the user diversity, dynamic environment, physical access, and route efficiency in complex heritage environments. This paper proposes a methodological framework that integrates the Genetic Algorithm (GA) and TSP within a Geographical Information System (GIS) based environment to improve route optimization for the heritage tourism. The model uses simulated data from thirteen heritage attractions in Ipoh, Perak, Malaysia to compare the performance of GA-TSP and traditional TSP approaches. GIS-based network analysis, Origin-Destination cost matrix generation, and heuristic optimization techniques were applied to evaluate route efficiency and sequencing. The findings shows that GA-TSP generates a more effective routes with shorter distance travel and a smoother flow that reducing any unnecessary and excessive backtracking which is very useful for mobility disabilities visitors and tourists. The proposed framework demonstrates the potential of integrating GIS and evolutionary optimization techniques to support more efficient and scalable heritage tourism route planning and provides a foundation for future implementation using real-world tourism and accessibility data.
Appraising Land Use Dynamics and Dam Feasibility in Ratargul Swamp Forest, Bangladesh via Sentinel-2 Data Imran Ahmed; Kazi Mohammad Masum
Geoplanning: Journal of Geomatics and Planning Vol 13, No 1 (2026)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.13.1.101-110

Abstract

Ratargul Swamp Forest (RSF), the only freshwater swamp ecosystem in Bangladesh, is well-known for its rich biodiversity and unique wetland features that attract significant tourist traffic. However, dry season water scarcity restricts tourism, reducing local income and driving communities to illegally harvest resources, which accelerates forest degradation. This study aims to analyze land use and land cover (LULC) changes in the RSF from 2016 to 2024 and evaluate the feasibility of placing a dam to regulate dry-season water flow. Sentinel-2A satellite imagery was utilized to assess long-term LULC dynamics. Additionally, a Digital Elevation Model (DEM) was applied to identify optimal dam locations along the Chengir Khal to control water flow during the dry season. LULC analysis revealed that forest vegetation decreased at an annual rate of 1.23% while bare land expanded by 1.04% annually.  Thus, highlight an urgent need for emergency conservation efforts in this special biodiversity area. The current dry season watershed area spans 80 hectares. DEM identified potential dam location to control water flow during the dry season. Establishing a dam at Chengir Khal is projected to increase the dry season water area to 121 hectares, without subverting or damaging existing forest plant habitats. Constructing a dam at Chengir Khal offers a sustainable solution to mitigate dry season water scarcity. By maintaining water levels, the dam will enhance the travel activity, secure local livelihoods, eliminate resource-dependence degradation, and promote long-term forest conservation.

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