Open Access
ISSN:1260-5875 (print)
ISSN:2116-7060 (online)
Publication Frequency:Continuously
With its international scientific commitments, Revue Internationale de Géomatique (RIG, International Journal of Geomatics), gathers numerous research works from many countries and disciplines, such as geography, computer science, archeology, agronomy and social sciences. All these research projects require or develop approaches, methods or tools to solve, analyse or represent spatial problems on the geographical space. The journal involves different topics, from spatial object modelling to geospatial prospective, from sensors used in accurate imagery to territorial decision making. The articles can be application- oriented, or deal with theoretical or methodological issues. Thus, RIG allows a fruitful combination of technological features (e.g. Geographical Information Systems, high resolution remote sensing) and human purpose and behaviour in spatial analysis (e.g. participatory Geographical Information Systems, territorial planning). Geomatics also concerns many questions about our environment in the context of global change and sustainability, such as biodiversity, conservation, transport, mobility and land use. Most of the articles published in RIG are resulting from a strong co-operation between different institutes and disciplines, often coupling particular themes (micro-agronomy, coastal studies, mountainous development, for instance) and associated methodologies to design appropriate solutions from computer and geographical information sciences (generalize and matching geometries, spatial metadata management, spatial ontologies, etc.). Regularly published since 1991, Revue Internationale de Géomatique (RIG, International Journal of Geomatics) publishes original articles in Sciences of Geographical Information, in French or in English.
Emerging Source Citation Index (Web of Science): 2024 Impact Factor 0.4; dblp Computer Science Bibliography; EBSCO; J-Gate; SUDOC; EZB; OpenAIRE; Portico, etc.
Open Access
REVIEW
Revue Internationale de Géomatique, Vol.34, pp. 855-879, 2025, DOI:10.32604/rig.2025.069914 - 17 November 2025
（This article belongs to the Special Issue: Progress, Challenges, and Opportunities in GIS 3D Modeling and UAV Remote Sensing)
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 >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 831-853, 2025, DOI:10.32604/rig.2025.069020 - 10 November 2025
（This article belongs to the Special Issue: Geospatial Techniques for Precision Agriculture and Water Resources Sustainability)
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 >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 809-829, 2025, DOI:10.32604/rig.2025.069538 - 06 November 2025
（This article belongs to the Special Issue: Application of Remote Sensing and GIS in Environmental Monitoring and Management)
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
Open Access
ARTICLE
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 >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 777-791, 2025, DOI:10.32604/rig.2025.070997 - 23 October 2025
（This article belongs to the Special Issue: Innovative Applications and Developments in Geomatics Technology)
Abstract Sinkholes, typically associated with karst landscapes, are emerging as significant geohazards in rapidly urbanising regions such as Kuala Lumpur, where human activities like land development, underground infrastructure, and groundwater extraction exacerbate subsurface instability. Despite their destructive potential, sinkholes remain under-monitored in Malaysia due to fragmented data and the lack of predictive spatial tools. This study aimed to develop a web-based, machine learning-driven framework for sinkhole susceptibility mapping to support public awareness, hazard mitigation, and geospatially informed urban planning. The framework was implemented using Google Earth Engine and Google Colab, focusing on Kuala Lumpur and parts… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 751-776, 2025, DOI:10.32604/rig.2025.071091 - 17 October 2025
（This article belongs to the Special Issue: Innovative Applications and Developments in Geomatics Technology)
Abstract Multicriteria Decision Analysis (MCDA) has been integrated with GIS modelling by many studies to aid the decision-making process. This integration enhances modelling by incorporating spatial relationships and using advanced techniques, including the combination of Frequency Ratio (FR) and Analytical Hierarchical Process (AHP), also known as FR-AHP. Although methods like Two-Steps Floating Catchment Area (2SFCA), AHP, and FR are widely applied in measuring accessibility, they have limitations in terms of threshold sensitivity and subjectivity. Hence, this study used FR-AHP, which combines the data-driven strength of FR and the structured decision-making technique of AHP to provide a… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 731-749, 2025, DOI:10.32604/rig.2025.066185 - 10 October 2025
（This article belongs to the Special Issue: Progress, Challenges, and Opportunities in GIS 3D Modeling and UAV Remote Sensing)
Abstract The effects of climate change are becoming more evident nowadays, and the environmental stress imposed on crops has become more severe. Farmers around the globe continually seek ways to gain insights into crop health and provide mitigation as early as possible. Phenotyping is a non-destructive method for assessing crop responses to environmental stresses and can be performed using airborne systems. Unmanned Aerial Systems (UAS) have significantly contributed to high-throughput phenotyping and made the process rapid, efficient, and non-invasive for collecting large-scale agronomic data. Because of the high complexity and cost of specialized equipment used in… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 707-729, 2025, DOI:10.32604/rig.2025.067395 - 12 September 2025
（This article belongs to the Special Issue: Resource and Environmental Information Modeling)
Abstract Road Traffic Accidents (RTAs) pose significant threats to public safety and urban infrastructure. While numerous studies have addressed this issue in other countries, there remains a notable gap in localized RTA research in Sri Lanka. In this context, the present study investigates the spatial and temporal patterns of RTAs in the Matara urban area in 2023, with the goal of supporting evidence-based policy interventions. A suite of GIS-based spatial analysis techniques including hotspot analysis, kernel density estimation, GiZscore mapping, and spatial autocorrelation (Moran’s I = 0.36, p < 0.01) was applied to examine the distribution and… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 691-705, 2025, DOI:10.32604/rig.2025.065949 - 29 August 2025
（This article belongs to the Special Issue: Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering)
Abstract Digital Elevation Model (DEM) refers to a digital map of the surface of the Earth that only shows the bare ground, without any buildings, plants, or other characteristics. However, obtaining unlimited access to DEM data at high and medium resolutions is very hard. Consequently, users often question the accuracy of freely available DEMs and their suitability for various applications. By comparing them to Global Positioning System (GPS) elevation data, this study aimed to identify the most reliable and widely available DEM for various terrains. The objectives of this study were to generate DEMs from different… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 669-689, 2025, DOI:10.32604/rig.2025.067137 - 19 August 2025
（This article belongs to the Special Issue: Applications of GNSS Remote Sensing)
Abstract This study investigates the spatial and temporal dynamics of key air pollutants—nitrogen dioxide (NO2), carbon monoxide (CO), methane (CH4), formaldehyde (HCHO), and the ultraviolet aerosol index (UVAI)—over the period 2019–2024. Utilizing high-resolution remote sensing data from the Sentinel-5 Precursor satellite and its TROPOspheric Monitoring Instrument (TROPOMI) processed via Google Earth Engine (GEE), pollutant concentrations were analyzed, with spatial visualizations produced using ArcGIS Pro. The results reveal that urban and industrial hotspots—notably in Damascus, Aleppo, Homs, and Hama—exhibit elevated NO2 and CO levels, strongly correlated with population density, traffic, and industrial emissions. Temporal trends indicate significant pollutant fluctuations More >
Graphic Abstract
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 655-668, 2025, DOI:10.32604/rig.2025.064279 - 11 August 2025
（This article belongs to the Special Issue: Applications of GNSS Remote Sensing)
Abstract This study was conducted to devise an integrated methodology for retrieval of surface soil moisture (SSM) using Landsat 8 TIRS data. For this purpose, Landsat 8 images of 15 May 2021 (pre-monsoon) and 20 November 2021 (post-monsoon) were processed for retrieval of soil moisture index (SMI) based on land surface temperature (LST). Moreover, field-based SM in the laboratory was also determined and correlated with satellite-based SMI. A moderate correlation between field-based SM and satellite-based SMI with R2 = 0.60 was obtained. Based on this relationship, SSM maps of Tehsil Faisalabad Saddar for the pre-and post-monsoon seasons… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 639-654, 2025, DOI:10.32604/rig.2025.067000 - 11 August 2025
（This article belongs to the Special Issue: Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering)
Abstract This study analyzes the spatial accessibility of key services in Caen, France, focusing on how different transport modes (car, bicycle, and public transit) influence access to essential services across the urban and suburban landscape. Indeed, the introduction of traffic restrictions in towns with low emission zones encourages a detailed study, on a fine spatial scale, of the differences in accessibility between different modes of transport, for different services and for different journey times. Using spatial analysis techniques, we examine accessibility patterns in relation to services such as shops, healthcare, education, and tourism, highlighting significant disparities… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 619-637, 2025, DOI:10.32604/rig.2025.065667 - 06 August 2025
（This article belongs to the Special Issue: Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering)
Abstract Landslides are a frequent geomorphological hazard in tropical regions, particularly where steep terrain and high precipitation coincide. This study evaluates landslide susceptibility in the Jelapang area of Perak, Malaysia, using Shannon Entropy-weighted bivariate models (i.e., Frequency Ratio, Information Value, and Weight of Evidence), in comparison with Logistic Regression. Seven conditioning factors were selected based on their geomorphological relevance and tested for multicollinearity: slope gradient, slope aspect, curvature, vegetation cover, lineament density, terrain ruggedness index, and flow accumulation. Each model generated susceptibility maps, which were validated using Receiver Operating Characteristic curves and Area Under the Curve… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 603-617, 2025, DOI:10.32604/rig.2025.065369 - 06 August 2025
（This article belongs to the Special Issue: Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering)
Abstract Urban green spaces (UGS) play a crucial role in promoting ecological, social, and environmental sustainability. UGS play a key role in reducing land surface temperature (LST) in rapidly urbanizing areas, thereby mitigating the urban heat island (UHI) effect. This paper conducts an extensive analysis of land use, Normalized Difference Vegetation Index (NDVI), and LST to examine the influence of the environmental landscapes of Shah Alam and Putrajaya from 2014 to 2023 on the variation of LST. In 2014, NDVI values in Shah Alam ranged from 0.35 to 0.50, fluctuating to 0.32 to 0.48 in 2023.… More >
Graphic Abstract
Open Access
REVIEW
Revue Internationale de Géomatique, Vol.34, pp. 587-602, 2025, DOI:10.32604/rig.2025.065583 - 06 August 2025
（This article belongs to the Special Issue: Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering)
Abstract The integration of Unmanned Aerial Vehicles (UAVs) and Uncrewed Surface Vehicles (USVs) has revolutionized topographic and bathymetric mapping, significantly enhancing the accuracy and efficiency of geospatial data acquisition processes. This innovative approach synergistically combines terrestrial data collected by UAVs with underwater data obtained through USVs, culminating in the creation of unified high-resolution Digital Elevation Models (DEMs) of the river basin region represents a vital step toward understanding the dynamic interactions between land and water bodies. Hence, the seamless Topo-Bathymetric Elevation Model offers a detailed perspective of the river system, supporting informed decision-making in addressing sediment… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 569-585, 2025, DOI:10.32604/rig.2025.066200 - 06 August 2025
（This article belongs to the Special Issue: Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering)
Abstract Single-beam echo sounders remain popular for seabed mapping because they possess an affordable cost and user-friendly design, delivering essential services for marine navigation, coastal management and resource conservation. High-amplitude echoes known as sea-spikes can severely harm depth measurement precision by disrupting readings, thus lowering the overall data accuracy. The manual processing method for outliers produces subjective results and demands excessive labor, which makes it difficult to accomplish trustworthy data processing. The study presents the Sea-Spike Filtering System (SSFS) as a semi-automatic system that utilizes mean absolute deviation (MAD) together with median filter (MF) techniques to… More >
Graphic Abstract
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 553-567, 2025, DOI:10.32604/rig.2025.066073 - 06 August 2025
（This article belongs to the Special Issue: Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering)
Abstract Urban green spaces play a crucial role in improving the well-being of city dwellers, offering recreational benefits that contribute to physical health. However, challenges remain in ensuring these spaces are distributed equitably and are accessible to all. This research examines the distribution and accessibility of green spaces in Bayan Lepas, Penang, Malaysia. The study focuses on evaluating three key factors: (1) the uniformity of green space distribution in the area, (2) the proportion of residents who can access green spaces within a 300-m walk, and (3) the identification of regions that lack sufficient green spaces,… More >
Graphic Abstract
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 535-552, 2025, DOI:10.32604/rig.2025.065284 - 06 August 2025
（This article belongs to the Special Issue: Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering)
Abstract Sediment mapping is a crucial component of environmental science, particularly in the marine environment, where the analysis of seabed sediments is essential for various purposes, including marine resource management, habitat preservation, and infrastructure development. Sediment refers to the solid particles that are transported and deposited in different areas. Multibeam echosounders have revolutionized the field of seabed sediment mapping by providing unparalleled resolution and accuracy in seafloor surveys. This study aimed to produce sediment maps by implementing multi-frequency, e.g., 200, 400, 550, and 700 kHz multibeam data using a machine learning algorithm, e.g., Support Vector Machine… More >
Open Access
REVIEW
Revue Internationale de Géomatique, Vol.34, pp. 513-533, 2025, DOI:10.32604/rig.2025.064280 - 06 August 2025
（This article belongs to the Special Issue: Resource and Environmental Information Modeling)
Abstract This review article provides a comprehensive analysis of Earth Observation (EO) applications for soil health assessment in Europe and abroad. The study explores the effectiveness of EO in capturing contextual information about various soil properties and conditions, as well as its role in monitoring soil health over time. The authors examine the current state of operational, semi-operational, and developing EO products and services relevant to soil health indicators. These include vegetation cover, forest cover, soil organic carbon, soil structure, landscape heterogeneity, and the presence of soil pollutants, excess nutrients, and salts. The review identifies gaps… More >
Graphic Abstract
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 487-511, 2025, DOI:10.32604/rig.2025.065835 - 29 July 2025
（This article belongs to the Special Issue: Resource and Environmental Information Modeling)
Abstract Understanding trends in rainfall and temperature projections is critical for assessing climate change impacts, managing water resources, mitigating disaster risks, and guiding sustainable agricultural and infrastructure planning. This study investigates projected changes in temperature and rainfall in the Upper Bernam River Basin (UBRB), Malaysia, using ten Global Climate Models (GCMs) from CMIP6 across four scenarios (SSP126, SSP245, SSP370, and SSP585). Downscaling was conducted with the Climate-Smart Decision Support System (CSDSS) for the baseline period (1985–2014) and for future periods: 2020s, 2040s, 2060s, and 2080s. Results indicate a consistent warming trend, with maximum temperatures projected to… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 461-485, 2025, DOI:10.32604/rig.2025.065814 - 29 July 2025
Abstract Urban sprawl affects the sustainable development of the world’s economy and society. Confirming urban sprawl trends and proposing countermeasures have received significant attention. Cities are self-organizing systems with dissipative attributes, and city development is accompanied by urban entropy changes. Urban entropy change reveals the essence of urban sprawl; thus, it can be used to measure urban sprawl and better understand its phenomena. However, the literature on entropy change in urban sprawl research is limited to qualitative descriptions, and no convenient or effective quantitative metrics exist. This study bridges entropy changes and urban form metrics, analyzing… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 433-460, 2025, DOI:10.32604/rig.2025.065502 - 29 July 2025
（This article belongs to the Special Issue: Resource and Environmental Information Modeling)
Abstract This study aimed to create a model for calculating the total reference crop evapotranspiration (ETo) in Mersin Province from May 2015 to 2020 and to generate maps using spatial analysis. Lemons from citrus play a significant role in Mersin’s agriculture, and because of lemons’ sensitivity to temperature, ETo is essential for them. It was observed that the ETo value () calculated using the Penman-Monteith (PM) method increased over the years. A model was developed using data from 36 Automated Weather Observing Systems (AWOS) in Mersin, Türkiye, which is located in a semi-arid climate zone. The… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 415-432, 2025, DOI:10.32604/rig.2025.067026 - 29 July 2025
（This article belongs to the Special Issue: Application of Remote Sensing and GIS in Environmental Monitoring and Management)
Abstract Noise present in remote sensing data creates obstacles to proper land use and land cover (LULC) classification methods. The paper evaluates machine learning (ML) denoising methods that adapt Raman spectroscopy’s spectral techniques to optimise remote sensing spectra for land-use/land-cover (LULC) mapping. A basic Raman spectroscopy model demonstrates that Savitzky-Golay (SG) filtering, Wavelet denoising, and basic 1D Convolutional Autoencoder have different effects on synthetic spectral features relevant to LULC classification. Savitzky-Golay filtering yielded the most efficient results, increasing classification accuracy from 0.71 (noisy) to 1.00 (denoised), resulting in perfect classification with zero errors and enhancing the More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 381-414, 2025, DOI:10.32604/rig.2025.065870 - 29 July 2025
Abstract Changes in land use/land cover (LULC) are a substantial environmental subject with considerable consequences for human well-being, climate, and ecosystems. Innovative investigations for predicting LULC changes are essential for effective land management and sustainable development. This study used Landsat images and supplementary spatial factors to evaluate spatiotemporal LULC changes in Erbil Province, Kurdistan Region-Iraq. It predicts future changes in 2040 using four climates scenario-based Shared Socioeconomic Pathways (SSPs). The Random Forest (RF) model was used to classify and forecast LULC changes, which are crucial for effective land management and sustainable development. The RF model was… More >
Open Access
EDITORIAL
Revue Internationale de Géomatique, Vol.34, pp. 379-380, 2025, DOI:10.32604/rig.2025.068400 - 16 July 2025
Abstract This article has no abstract. More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 363-377, 2025, DOI:10.32604/rig.2025.065708 - 14 July 2025
Abstract Exploring the spatiotemporal changes in Fractional Vegetation Coverage (FVC) helps to more accurately understand the quality of the ecological environment, which is of great significance for regional ecological protection and sustainable economic development. The study takes the Chengdu-Chongqing urban agglomeration as the research area, analyzes the characteristics and trends of vegetation cover changes from 2000 to 2020 using the Google Earth Engine cloud platform, and explores its driving factors based on the enhanced regression tree model. The results show that: (1) From 2000 to 2020, the annual FVC of the Chengdu-Chongqing urban agglomeration showed a… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 351-362, 2025, DOI:10.32604/rig.2025.064031 - 30 June 2025
Abstract The unconsolidated soils of the Indo-Gangetic Plains (IGP) contribute significantly to the amplification of seismic damage during earthquakes. Site-specific effects play a critical role in intensifying ground motion and shaping the spatial distribution of seismic hazards. This study aims to investigate the spatial variability of seismic hazards using geophysical and geological parameters such as lithology, shear wave velocity, soil texture, basement depth, and proximity to fault lines. Training data were derived from common hazard points identified in earthquake catalogues. Several machine learning (ML) models, including Logistic Regression (LR), K-Nearest Neighbors, Random Forest, and Decision Tree, More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 335-350, 2025, DOI:10.32604/rig.2025.064552 - 13 June 2025
（This article belongs to the Special Issue: Remote Sensing Advances for Atmospheric Monitoring)
Abstract Road construction and traffic congestion are increasingly recognized as major contributors to environmental and public health challenges in urban Nigeria, particularly in Rivers State. Despite growing urbanization, a gap remains in localized data on the combined effects of air and noise pollution in hydrocarbon-polluted environments. This study addresses that gap by conducting a preliminary environmental health assessment focused on the Port Harcourt Ring Road project. Air quality and noise levels were monitored in situ at 20 strategically selected locations, with five control points included for baseline comparison. Digital portable meters were used to measure concentrations of… More >
Open Access
EDITORIAL
Revue Internationale de Géomatique, Vol.34, pp. 333-334, 2025, DOI:10.32604/rig.2025.067517 - 05 June 2025
Abstract This article has no abstract. More >
Open Access
REVIEW
Revue Internationale de Géomatique, Vol.34, pp. 301-331, 2025, DOI:10.32604/rig.2025.065595 - 05 June 2025
Abstract Swarm intelligence, derived from the collective behaviour of biological entities, is a novel methodology for overseeing satellite constellations within decentralized control systems. Conventional centralized control systems in satellite constellations encounter constraints in scalability, resilience, and fault tolerance, particularly in extensive constellations. This research examines the use of swarm-based multi-agent systems and distributed algorithms for efficient communication, collision avoidance, and collaborative task execution in satellite constellations. We provide a comprehensive study of current swarm control algorithms, their relevance to satellite systems, and identify areas requiring further research. Principal subjects encompass decentralized decision-making, self-organization, adaptive communication protocols, More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 277-300, 2025, DOI:10.32604/rig.2025.063846 - 30 May 2025
（This article belongs to the Special Issue: Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering)
Abstract Awareness of the impact of climate change, urbanization, population growth, and anthropogenic pressure on surface waters has led to the need for specialized studies on groundwater potential. Groundwater is an important source of freshwater, particularly in regions where surface water is scarce. With climate change, the need to rely on these waters to cope with water shortages and rising demand is becoming increasingly apparent. Remote sensing, the Analytic Hierarchy Process (AHP), and the Geographic Information System (GIS) are advanced spatial tools used in this study to assess groundwater potential in the Oued Lakhdar watershed, which… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 259-275, 2025, DOI:10.32604/rig.2025.064032 - 23 May 2025
Abstract Sustainable urban development nowadays requires the consideration of vegetation, particularly green spaces, for the well-being of the population and the quality of life. It is with this purpose a study was conducted in the city of Kétou, Benin, to analyze the spatio-temporal dynamics of the wooded landscape and its influencing factors, with a view to sustainable urban planning. Using remote sensing and Geographic Information Systems, Landsat TM, ETM, and OLI/TIRS satellite images were processed using the Maximum Likelihood Algorithm in Environment for Visualizing Images (ENVI) 5.0 to assess land use changes from 2003 to 2023.… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 235-257, 2025, DOI:10.32604/rig.2025.063512 - 25 April 2025
Abstract The rapid urbanization of rural areas often leads to the construction of medium to high-rise buildings without adequate knowledge of ground suitability, posing significant risks to structural safety and long-term development. This study addresses this critical issue by developing a Comprehensive Ground Suitability Index (CGSI) framework tailored for rural municipalities. Using Geographic Information Systems (GIS) and the Analytic Hierarchy Process (AHP), the CGSI integrates geophysical, geo-environmental, and geohazard parameters to systematically evaluate land suitability for construction. Data were collected from government agencies, previous studies, and field surveys focusing on the Municipality of Odiongan, Romblon. Parameters… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 209-234, 2025, DOI:10.32604/rig.2025.061448 - 14 April 2025
Abstract Today, environmental studies based on satellite imagery are known as making valuable contributions to the dynamics and spatial prediction of sensitive or complex ecosystems such as wide protected areas and represent sustainable decision tools. The Pendjari and W Transboundary Reserves which constitute biodiversity reservoirs, habitats for wildlife conservation lack substantial investigations on the vegetation dynamics. Despite the protection measures they benefit from, these reserves remain dependent on climatic hazards that can influence their stability. The present study is innovative since it applied remote sensing techniques combined with climate records from the last thirty years to… More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 187-207, 2025, DOI:10.32604/rig.2025.063247 - 09 April 2025
Abstract Road condition assessment involves evaluating the physical state of roadways to determine necessary maintenance and rehabilitation, while traffic assessment focuses on analyzing vehicle flow patterns to improve traffic management. This study employs Geographic Information Systems (GIS) to assess and evaluate road conditions and traffic dynamics in the rural municipality of Odiongan, Romblon, Philippines. GIS mapping enabled a spatially detailed classification of road conditions, identifying areas categorized as excellent, good, fair, or poor, and highlighted sections requiring maintenance or rehabilitation. These assessments are crucial for enhancing the transportation framework amid escalating developmental and demographic demands. Concurrently,… More >
Open Access
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Revue Internationale de Géomatique, Vol.34, pp. 169-185, 2025, DOI:10.32604/rig.2025.063997 - 09 April 2025
Abstract Green space plays an important role in the sustainable urban development. This study proposes the Green Lighting Index (GLI), integrating nighttime light data from SDGSAT-1 and the Normalized Difference Vegetation Index (NDVI) from Sentinel-2, to explore the nighttime human activity in green spaces across three major urban agglomerations in China: Beijing-Tianjin-Hebei (BTH), the Yangtze River Delta (YRD), and the Greater Bay Area (GBA). The findings reveal that, for most green spaces, the relationship between nighttime lighting and green spaces is predominantly exclusionary. However, a synergistic relationship is observed in some vibrant green spaces characterized by More >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 151-168, 2025, DOI:10.32604/rig.2025.062829 - 21 March 2025
Abstract Vegetation is crucial to ecosystems, thus, detecting and assessing changes in vegetation cover are receiving increasing attention. In this study, we combine remote sensing data and geographic information systems to assess vegetation cover changes in Da Nang city, Vietnam, between 1988 and 2022. Remote sensing images for the years 1988, 2000, and 2010 were obtained from Landsat 5-TM satellite data, and imagery for 2022 was obtained from Landsat 9-OLI/TIRS satellite data. In each satellite scene, we used supervised classification and spectral indices (NDWI—Normalized Difference Water Index, NDVI—Normalized Difference Vegetation Index, and SAVI—Soil Adjusted Vegetation Index) More >
Open Access
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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 >
Open Access
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Revue Internationale de Géomatique, Vol.34, pp. 103-123, 2025, DOI:10.32604/rig.2025.060420 - 24 February 2025
（This article belongs to the Special Issue: Geospatial Data Quality: Unraveling the Essentials)
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 >
Open Access
ARTICLE
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 >
Open Access
ARTICLE
Revue Internationale de Géomatique, Vol.34, pp. 71-88, 2025, DOI:10.32604/rig.2025.057963 - 24 February 2025
（This article belongs to the Special Issue: Geospatial Data Quality: Unraveling the Essentials)
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 >
Open Access
ARTICLE
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 >
Open Access
ARTICLE
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
Open Access
ARTICLE
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 >
Open Access
ARTICLE
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
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