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 >

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 >

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 >

Gildas N’tibouti Idakou, Abdel Aziz Osseni, Etienne Romaric Adéwalé Godonou, Gbodja Houéhanou François Gbesso^*

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 >

Jerome Gacu^1,2,3,*, John Angelo Venus¹, Cleo Faith Forio¹, Leo Banay¹, Eljay Soledad¹, Anabeth Famini¹, April Rose Fajiculay¹, Aprille Ann Sim¹, Jason Rufon¹

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 >

Suman Kunwar^1,*, Jannatul Ferdush²

Revue Internationale de Géomatique, Vol.33, pp. 1-13, 2024, DOI:10.32604/rig.2023.047627 - 27 February 2024

Abstract As the global population continues to expand, the demand for natural resources increases. Unfortunately, human activities account for 23% of greenhouse gas emissions. On a positive note, remote sensing technologies have emerged as a valuable tool in managing our environment. These technologies allow us to monitor land use, plan urban areas, and drive advancements in areas such as agriculture, climate change mitigation, disaster recovery, and environmental monitoring. Recent advances in Artificial Intelligence (AI), computer vision, and earth observation data have enabled unprecedented accuracy in land use mapping. By using transfer learning and fine-tuning with red-green-blue More > Graphic Abstract

Shen Zhang¹, Yongqi Jian¹, Bingjing Yan², Jin Jin¹, Jiasen Wu¹, Chenfei Liang¹, Juan Liu^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.8, pp. 1745-1756, 2022, DOI:10.32604/phyton.2022.021076 - 14 April 2022

Abstract The impact of land consolidation on the soil microbial PLFA diversity is of great importance for understanding the effective arable land usage, improving agricultural ecological conditions and environment. In this study, we collected the soil samples (0–20 cm) in experimental plots with 0 (Z₀), 1 (Z_1a) and 4 (Z_4a) years of land consolidation in the forest station of Ningbo City, Zhejiang Province, southeastern China. The results were analyzed using ANOVA for randomized block design. Compared with control (Z₀), the soil pH value under Z_1a treatment increased by 14.6%, soil organic carbon (SOC) content decreased by 65.4%, so did… More >

Seung-Yeon Hwang¹, Jeong-Joon Kim^2,*

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2649-2663, 2022, DOI:10.32604/cmc.2022.022593 - 29 March 2022

Abstract Artificial intelligence, which has recently emerged with the rapid development of information technology, is drawing attention as a tool for solving various problems demanded by society and industry. In particular, convolutional neural networks (CNNs), a type of deep learning technology, are highlighted in computer vision fields, such as image classification and recognition and object tracking. Training these CNN models requires a large amount of data, and a lack of data can lead to performance degradation problems due to overfitting. As CNN architecture development and optimization studies become active, ensemble techniques have emerged to perform image… More >

Garay MM¹, NM Amiotti², P Zalba¹

Phyton-International Journal of Experimental Botany, Vol.84, No.2, pp. 280-287, 2015, DOI:10.32604/phyton.2015.84.280

Abstract Afforestation is a recommended practice to mitigate global warming. However, their implementation may generate undesirable impacts, mostly if exotic species are used. Plantations of Pinus radiata D Don in Ventania (Bs. As., Argentina) soils showed notorious increments of extractable P (Pe), which could affect the dynamic of this element as well as the degree of phosphorus saturation (GSP_Bray). The objectives of this study were: i) to quantify the GSP_Bray in Mollisols afforested with P. radiata comparing the results with those coming from adjacent, natural grassland areas (base line); ii) to evaluate the potential environmental risk induced by afforestation… More >