Fawad Salam Khan^1,*, Noman Hasany², Sheikh Kamran Abid³, Muhammad Khurram⁴, Jerome Gacu^5,6,7, Cris Edward Monjardin⁸, Kevin Lawrence de Jesus⁷

Revue Internationale de Géomatique, Vol.34, pp. 415-432, 2025, DOI:10.32604/rig.2025.067026 - 29 July 2025

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 >

Abdulqadeer Rash^1,*, Yaseen T. Mustafa^2,3,4, Rahel Hamad⁵

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 >

Muazu Dantala Zakari^1,2,*, Md. Rowshon Kamal^1,*, Norulhuda Mohamed Ramli¹, Balqis Mohamed Rehan³, Mohd Syazwan Faisal Bin Mohd⁴

Revue Internationale de Géomatique, Vol.34, pp. 487-511, 2025, DOI:10.32604/rig.2025.065835 - 29 July 2025

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 >

Zhensen Wei¹, Penghui Jiang^1,*, Zhen Chen²

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 >

Fatma Bunyan Unel^1,*, Lutfiye Kusak¹, Murat Yakar¹, Abdullah Sahin², Hakan Dogan³, Fikret Demir⁴

Revue Internationale de Géomatique, Vol.34, pp. 433-460, 2025, DOI:10.32604/rig.2025.065502 - 29 July 2025

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 >

Walter Timo de Vries^*

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 >

Wuyi Zhu¹, Meng Zou¹, Wenji Liu¹, Linlin Cui^2,*

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 >

Harsh Kumar¹, Shilpa Suman², Abhishek Rawat^2,*, Rajat Subhra Chatterjee³, Dheeraj Kumar⁴, B. S. Chaudhary⁵

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 >

Idongesit Sunday Ambrose¹, Sunday Edet Etuk², Okechukwu Ebuka Agbasi^3,*, Ijah Ioryue Silas⁴, Unyime Udoette Saturday⁵, Eyo Edet Orok⁶

Revue Internationale de Géomatique, Vol.34, pp. 335-350, 2025, DOI:10.32604/rig.2025.064552 - 13 June 2025

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 >

Hou Jiang^*

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 >