Walter Timo de Vries^*, Veronica Cristina Astudillo Avila, Achmad Ghozali

Revue Internationale de Géomatique, Vol.34, pp. 125-149, 2025, DOI:10.32604/rig.2025.057970 - 11 March 2025

Abstract The development of Indonesia’s New Capital City (Ibu Kota Negara (IKN)) does not only offer opportunities but also faces uncertainties. One of these concerns is wastewater management, in terms of volume, location, and treatment facilities. To evaluate how the city might be able to manage this, this study starts with a theoretical evaluation of which wastewater management principles are crucial. Then the empirical study evaluates where and how the current infrastructure of the IKN could manage the wastewater and assesses—based on spatial scenarios—if the current wastewater management plans for the IKN are adequate. A Geographic… More >

Efdal Kaya^*

Revue Internationale de Géomatique, Vol.34, pp. 103-123, 2025, DOI:10.32604/rig.2025.060420 - 24 February 2025

Abstract Global warming leads to climate change and hence effects tourism activities. Bioclimatic comfort indices are used to understand the changing climates of outdoor tourism. In this study, the models for the automatic calculation of the tourism climate index (TCI), heat index (HI), and new summer simmer index (NSSI) from bioclimatic comfort indices are used to determine the climatic conditions of outdoor tourism. The study compared the maps generated by the models with those manually created maps in ArcGIS. In order to statistically reveal how accurately the models produced maps, the relationship between the maps obtained… More >

Sanghati Banerjee¹, Om Pal², Tauseef Ahmad³, Shruti Kanga⁴, Suraj Kumar Singh^1,*, Bhartendu Sajan¹

Revue Internationale de Géomatique, Vol.34, pp. 71-88, 2025, DOI:10.32604/rig.2025.057963 - 24 February 2025

Abstract Agriculture is a primary activity in many countries, with wheat being a major cereal crop in India. Accurate pre-harvest forecasts of crop acreage and production are critical for policymakers to address supply-demand dynamics, pricing, and trade. This study focuses on estimating wheat acreage and yield in Barwala block, Hisar district, Haryana, for the 2019–2020 Rabi season using remote sensing techniques. Multi-temporal satellite data capturing phenological stages of wheat (Seedling to Ripening) were processed using supervised classification with a maximum likelihood classifier in ERDAS Imagine. Wheat crop acreage was determined by overlaying ground truth points on… More >

Nur Nabihah Ghazali¹, Noraain Mohamed Saraf^1,*, Abdul Rauf Abdul Rasam^1,*, Ainon Nisa Othman¹, Siti Aekbal Salleh¹, Nurhafiza Md Saad²

Revue Internationale de Géomatique, Vol.34, pp. 89-101, 2025, DOI:10.32604/rig.2025.057562 - 24 February 2025

Abstract Forest fires are contributing significantly to the acceleration of deforestation. Monitoring and mapping these fires are crucial, and remote sensing technology has proven effective for this purpose. This research employs remote sensing methods to evaluate the severity of a forest fire in Kampung Balai Besar, Dungun. The incident, covering a 23-hectare area, occurred on 15 June 2021. Initial data processing utilized Sentinel-2 satellite images from 14 June 2021 (pre-fire) and 19 June 2021 (post-fire). The extent and severity of the fire were assessed using the Normalized Burn Ratio (NBR) index derived from satellite images. Different… More >

Nilotpal Kalita^1,*, Ashok Kumar Bora², Rana Sarmah³, Dhrubajyoti Sahariah², Manash Jyoti Nath^2,*

Revue Internationale de Géomatique, Vol.34, pp. 37-51, 2025, DOI:10.32604/rig.2024.058265 - 13 January 2025

Abstract Flooding is a natural event often associated with floodplain areas, characterised by large, sudden and significant rises in river water levels that drastically alters the surrounding landscape. The research employs ArcGIS tools, multi-criteria evaluation techniques and the Maximum Entropy (MaxEnt) model to assess flood hazard zones. The key physical elements of slope, elevation, rainfall, drainage density, land use, and soil types have been integrated to identify areas vulnerable to flooding. Overlay analysis has been used to construct zones specifically designated for flood hazards. Additionally, pairwise comparison using Saaty’s scale was employed to calculate the Eigenvector More > Graphic Abstract

Muhammad Salahuddin Mohamad Shahrul Annuar, Nabilah Naharudin^*, Nur Aina Adiela Azmi, Nafisah Khalid

Revue Internationale de Géomatique, Vol.34, pp. 53-69, 2025, DOI:10.32604/rig.2025.058078 - 13 January 2025

Abstract Tourism trails connect destinations, points of interest, and travel-related businesses. By enhancing connectivity, these trails reduce travel time, allowing tourists to maximize their exploration of sites, leading to more efficient and satisfying travel experiences. The rising popularity of e-scooters in urban areas has highlighted the need to identify safe and accessible routes, particularly in cities where safety concerns have led to restrictions. Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) network analysis can be employed to determine optimal paths by considering multiple criteria. This study focuses on finding an optimal street art trail for… More >

Muhammad Aliff Haiqal Darmawan¹, Shahrul Nizan Abd Mukti², Khairul Nizam Tahar^1,*

Revue Internationale de Géomatique, Vol.34, pp. 21-35, 2025, DOI:10.32604/rig.2024.057266 - 13 January 2025

Abstract Potholes are the most prevalent type of structural defect found on roads, caused by aging infrastructure, heavy rains, heavy traffic, thin or weak substructures, and other factors. Regular assessment of road conditions is essential for maintaining and improving road networks. Current techniques for identifying potholes on urban roadways primarily rely on public reporting, such as hotlines or social networking websites, which are both time-consuming and inefficient. This study aims to detect potholes using Unmanned Aerial Vehicles (UAVs) images, enabling accurate analysis of their size, shape, and location, thereby enhancing detection efficiency compared to conventional methods.… More >

Auriane Chelle^1,*, Johnny Douvinet^1,2

Revue Internationale de Géomatique, Vol.34, pp. 1-20, 2025, DOI:10.32604/rig.2024.054737 - 13 January 2025

Abstract Cet article propose une analyse séparée puis combinée de trois procédures administratives qui servent de référence pour cartographier les communes à risque inondation en France hexagonale (i.e., les arrêtés de catastrophes naturelles (CatNat), les Dossiers Départementaux des Risques Majeurs (DDRM) et les Plans de Prévention du Risque Inondation (PPRi)). Deux questions sont posées : quels enseignements peut-on tirer de l’analyse de la couverture spatiale de chacune des procédures, et en les combinant, peut-on voir des effets de seuils ou des jeux d’échelle ? Si les arrêtés CatNat sont révélateurs d’une saisonnalité des inondations et d’une More > Graphic Abstract

Nigel Walford^*

Revue Internationale de Géomatique, Vol.33, pp. 445-464, 2024, DOI:10.32604/rig.2024.054535 - 25 October 2024

Abstract The impact of World War II on the physical landscape of British towns and cities as a result of airborne assault is well known. However, less newsworthy but arguably no less significant is the impact of the war on agriculture and the countryside, especially in South-East England. This paper outlines the building of an historical Geographical Information System (GIS) from different data sources including the National Farm Survey (NFS), Luftwaffe and Royal Air Force (RAF) aerial photographs and basic topographic mapping for the South Downs in East and West Sussex. It explores the impact and… More >

Grace Gau¹, Minerva Singh^2,3,*

Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >