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 >

Cyril Enault^*

Revue Internationale de Géomatique, Vol.34, pp. 881-897, 2025, DOI:10.32604/rig.2025.065740 - 09 December 2025

Abstract Considérée souvent en France comme discontinue, la transition du bâti urbain-rural est largement envisagé comme continue au niveau international. Si la question de la forme urbaine n’est donc, aujourd’hui, plus en suspens du fait des très nombreuses études à l’échelle internationale, la limite urbain périurbain et rural isolé convient d’être néanmoins encore réinterrogée. La notion de proxémique développée dans les années 1970, pourrait permettre une résolution du problème. Utiliser cette notion pour revoir la métrique géographique pourrait permettre de réviser la limite urbain-campagne et raisonner alors sur un espace continu au-delà même des limites du More >

Mukesh Kumar Verma^1,2,*, Manohar Yadav¹

Revue Internationale de Géomatique, Vol.34, pp. 855-879, 2025, DOI:10.32604/rig.2025.069914 - 17 November 2025

Abstract Precision Agriculture (PA) is revolutionizing modern farming by leveraging remote sensing (RS) technologies for continuous, non-destructive crop monitoring. This review comprehensively explores RS systems categorized by platform—terrestrial, airborne, and space-borne—and evaluates the role of multi-sensor fusion in addressing the spatial and temporal complexity of agricultural environments. Emphasis is placed on data from LiDAR, GNSS, cameras, and radar, alongside derived metrics such as plant height, projected leaf area, and biomass. The study also highlights the significance of data processing methods, particularly machine learning (ML) and deep learning (DL), in extracting actionable insights from large datasets. By More >

Ihsan Qadir¹, Usama Naeem², Ahmed Nouman³, Aamir Raza⁴, Jun Wu^1,*

Revue Internationale de Géomatique, Vol.34, pp. 831-853, 2025, DOI:10.32604/rig.2025.069020 - 10 November 2025

Abstract The Jhelum River Basin in Pakistan has experienced recurrent and severe flooding over the past several decades, leading to substantial economic losses, infrastructure damage, and socio-environmental disruptions. This study uses multi-temporal satellite remote sensing data with historical hydrological records to map the spatial and temporal dynamics of major flood events occurring between 1988 and 2019. By utilizing satellite imagery from Landsat 5, Landsat 8, and Sentinel-2, key flood events were analyzed through the application of water indices such as the Normalized Difference Water Index (NDWI) and the Modified NDWI (MNDWI) to delineate flood extents. Historical… More >

Shohreh Moradpour^1,#, Shuai Zhao^2,#, Mojgan Entezari¹, Shamsollah Ayoubi^3,*, Seyed Roohollah Mousavi⁴

Revue Internationale de Géomatique, Vol.34, pp. 809-829, 2025, DOI:10.32604/rig.2025.069538 - 06 November 2025

Abstract Accurate spatial prediction of soil organic carbon (SOC) and soil inorganic carbon (SIC) is vital for land management decisions. This study targets SOC/SIC mapping challenges at the watershed scale in central Iran by addressing environmental heterogeneity through a random forest (RF) model combined with bootstrapping to assess prediction uncertainty. Thirty-eight environmental variables—categorized into climatic, soil physicochemical, topographic, geomorphic, and remote sensing (RS)-based factors—were considered. Variable importance analysis (via) and partial dependence plots (PDP) identified land use, RS indices, and topography as key predictors of SOC. For SIC, soil reflectance (Bands 5 and 7, ETM+), topography, More > Graphic Abstract

Miljenko Lapaine^*

Revue Internationale de Géomatique, Vol.34, pp. 793-808, 2025, DOI:10.32604/rig.2025.066916 - 06 November 2025

Abstract The paper investigates the properties of the Lambert equivalent azimuthal projection, which is often used in normal aspect in atlases for maps of the northern and southern hemispheres. The field of research is theoretical in nature and assumes a mastery of mathematics because it deals with map projections. The transverse aspect is commonly used for eastern and western hemisphere atlas maps. In addition, the Hammer projection was created from the transverse aspect of that projection. Therefore, if we want to get to know the Hammer projection better, we must first investigate the Lambert equivalent azimuthal… More >