Bárbara Polo-Martín^*

Revue Internationale de Géomatique, Vol.35, pp. 53-78, 2026, DOI:10.32604/rig.2026.071069 - 05 February 2026

Abstract The expansion of transportation networks, including railways and ports, has been a major force driving urban growth, mobility, and socio-economic transformations since the Industrial Revolution. This study utilizes Historical Geographic Information Systems to examine the global evolution of transportation infrastructure, focusing on railways and ports, from 1880 to 2020. The dataset enables a multidimensional analysis of how transportation systems have shaped cities, influenced regional development, and helped to make possible sustainability efforts. By offering insights into transport accessibility, land-use changes, and economic connectivity, the study provides a robust empirical foundation for understanding long-term infrastructure dynamics. More >

Erdinç Uslan^1,*, Emin Ulugergerli²

Revue Internationale de Géomatique, Vol.35, pp. 31-51, 2026, DOI:10.32604/rig.2026.075081 - 05 February 2026

Abstract Climate classification systems are essential tools for analyzing regional climatic behavior, assessing long-term aridity patterns, and evaluating the impacts of climate change on water resources and ecosystem resilience. This study introduces a new Climate Classification Method based on uniform and unitless variables, referred to as the U2 Climate Classification (U2CC). The proposed U2 Index was designed to overcome structural limitations of the classical De Martonne (1942) and Erinç (1949) indices, which rely on raw precipitation–temperature ratios and are sensitive to extreme values, particularly subzero temperatures. The U2 methodology consisted of two key steps: (i) normalization… More >

Aakash Deep^*, Sushil Kumar, Bhagwan Singh Chaudhary

Revue Internationale de Géomatique, Vol.35, pp. 79-100, 2026, DOI:10.32604/rig.2026.074969 - 05 February 2026

Abstract The assessment of groundwater quality is crucial for ensuring its safe and sustainable use for domestic and agricultural purposes. The Kurukshetra district in the Indian state of Haryana relies heavily on groundwater to meet household and agricultural needs. Sustainable groundwater management must be assessed in terms of suitability for domestic and agricultural needs in a region. The current study analyzed pre-monsoon geochemical data from groundwater samples in the study area for 1991, 2000, 2010, and 2020. A Geographic Information System (GIS) was used to create spatial distribution maps for hydrogen ion concentration, total hardness, total… More >

N’Landu Dikumbwa^1,*, Scott Tshibang Nawej², Gabriel Mutundo Teteka², Benjamin Mayaka Kibwila³, Jules Aloni Komanda³

Revue Internationale de Géomatique, Vol.35, pp. 13-30, 2026, DOI:10.32604/rig.2026.068019 - 05 February 2026

Abstract Rainfall data from four weather stations, quite far from each other, but located in the Zambezian phytogeographic region, were analysed for the research for indices of climate change. Two variables, rainfall and the annual number of rainy days, were considered. The rainfall data examined are 114 years for Luanda (1901–2014), 106 years for Lubumbashi (1916–2021), respectively, 54 and 41 years for Huambo (1961–2014) and Boma (1981–2021); 100 years (1921–2021) for the annual number of rainy days for only the Lubumbashi weather station. The results were a widespread decline in rainfall at all weather stations. Despite… More >

Nur Afikah Juhari, Khairul Nizam Tahar^*

Revue Internationale de Géomatique, Vol.35, pp. 1-11, 2026, DOI:10.32604/rig.2026.070991 - 19 January 2026

Abstract The use of Unmanned Aerial Vehicles (UAVs) in photogrammetry has grown rapidly due to enhanced flight stability, high-resolution imaging, and advanced Structure from Motion (SfM) algorithms. This study investigates the potential of UAVs as a cost-effective alternative to Terrestrial Laser Scanners (TLS) for 3D building reconstruction. A 3D model of Bangunan Sarjana was generated in Agisoft Metashape Professional v.2.0.2 using 492 aerial images captured at flying altitudes of 40, 50, and 60 m. Ground control points were established using GNSS (RTK-VRS), and Total Station measurements were employed for accuracy validation. The results indicate that the 60 More >

Harith Iman Othman Kalam¹, Ainon Nisa Othman^1,*, Mohamad Hezri Razali^1,*, Pauziyah Mohammad Salim¹, Akhbaaruddin Abd Hamid²

Revue Internationale de Géomatique, Vol.34, pp. 973-985, 2025, DOI:10.32604/RIG.2025.071917 - 24 December 2025

Abstract Ground Penetrating Radar (GPR) is a widely used method that is non-destructive for underground or subsurface detection. It is used in various fields and has proved to be reliable and effective. This research focuses on detecting the presence of air cavities using GPR and analyzing the radargram output based on the compactness of soil and different frequencies. The compactness is used to illustrate the presence of cavities underground artificially. The research examines how variations in the compactness of soil affect the radargram response in showing the presence of cavities using different frequencies. Experimental results demonstrate More >

Mohd Hakimi Abdul Rahman¹, Amir Sharifuddin Ab Latip^1,*, Zulkiflee Abd Latif^1,2, Siti Balqis Mohd Tun¹, Nur Azlina Hariffin¹, Mohd Fikri Razali³

Revue Internationale de Géomatique, Vol.34, pp. 959-972, 2025, DOI:10.32604/rig.2025.071109 - 12 December 2025

Abstract Atmospheric phase delay, primarily caused by water vapor in the troposphere, is a major source of error in InSAR measurements, especially for land subsidence monitoring. This study integrates GNSS and GACOS data to correct tropospheric delay and enhance InSAR accuracy in Banting, Selangor. A total of 27 Sentinel-1A images, 14 GNSS stations, and 27 corresponding GACOS ZTD maps were used to monitor subsidence between 2023 and 2025. The InSAR data were processed using SNAP, StaMPS, and the TRAIN toolbox, incorporating both GNSS- and GACOS-derived ZTD corrections. The results show that applying atmospheric correction improved the… More >

Izzah Liyanamadihah Ibrahim¹, Nurhanisah Hashim^1,*, Ainon Nisa Othman^1,*, Noorfatekah Talib², Sarah Shaharuddin³

Revue Internationale de Géomatique, Vol.34, pp. 915-937, 2025, DOI:10.32604/rig.2025.072321 - 09 December 2025

Abstract This study aims to assess landslide susceptibility in Hulu Selangor, Selangor, Malaysia, an area that is exposed to rapid industrial and infrastructural growth. Six conditioning factors, such as slope, land use, lithology, road proximity, and river proximity, were integrated through the Analytic Hierarchy Process (AHP) in a GIS environment. The weights distribution analysis revealed slope (40.50%) and lithology (23.12%) as the most important factors, followed by river proximity (15.09%) and road proximity (13.76%). The developed susceptibility map was divided into five zones: very low (12.4%), low (18.7%), medium (35.6%), high (22.1%), and very high (11.2%).… More >

Igor Musikhin^*

Revue Internationale de Géomatique, Vol.34, pp. 939-957, 2025, DOI:10.32604/rig.2025.071168 - 09 December 2025

Abstract Urban environmental quality research is crucial, as cities become competitive centers concentrating human talent, industrial activity, and financial resources, contributing significantly to national economies. Municipal and government priorities include retaining residents, preventing skilled worker outflow, and meeting the evolving needs of urban populations. The study presents the development and application of a scenario-based spatial analysis tool for assessing urban environmental quality at a detailed spatial scale within the city of Novosibirsk. Using advanced geoinformatics, GIS techniques, and an expert knowledge base, the tool integrates diverse thematic data layers with user-defined scenarios to compute and visualize… More >

Saurabh Singh^1,2, Sudip Pandey^3,*, Ankush Kumar Jain¹

Revue Internationale de Géomatique, Vol.34, pp. 899-914, 2025, DOI:10.32604/rig.2025.071156 - 09 December 2025

Abstract Urban expansion in semi-arid regions poses critical challenges for sustainable land management, ecological resilience, and heritage conservation. Jaipur, India—a United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage City located in a semi-arid environment—faces rapid urbanization that threatens agricultural productivity, fragile ecosystems, and cultural assets. This study quantifies past and projects future land use/land cover (LULC) dynamics in Jaipur to support evidence-based planning. Using the Dynamic World dataset, we generated annual 10-m LULC maps from 2016 to 2025 within the municipal boundary. Temporal change detection was conducted through empirical transition probability analysis, and future… More >