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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 184 Documents
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Modelling Spatial-Temporal Wildfire Susceptibility Using Geospatial Techniques Over the Table Mountain Nature Reserve, South Africa Nujjoo, Syed Tanweer Raza; Odera, Patroba Achola
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): Accepted Manuscripts
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.%p

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): Accepted Manuscripts
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.%p

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, in the Philippines Ryan Angeles Ramirez; Jann Rheynald Cañeda; Irvin Olchondra; Mark Morales
Geoplanning: Journal of Geomatics and Planning Vol 13, No 1 (2026): Accepted Manuscripts
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.%p

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.

Page 19 of 19 | Total Record : 184

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