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  • Open Access

    ARTICLE

    Classification and clustering of buildings for understanding urban dynamics

    A framework for processing spatiotemporal data

    Perez Joan1, Fusco Giovanni1, Sadahiro Yukio2

    Revue Internationale de Géomatique, Vol.31, No.2, pp. 303-327, 2022, DOI:10.3166/RIG.31.303-327© 2022

    Abstract This paper presents different methods implemented with the aim of studying urban dynamics at the building level. Building types are identified within a comprehensive vector-based building inventory, spanning over at least two time points. First, basic morphometric indicators are computed for each building: area, floor-area, number of neighbors, elongation, and convexity. Based on the availability of expert knowledge, different types of classification and clustering are performed: supervised tree-like classificatory model, expert-constrained k-means and combined SOM-HCA. A grid is superimposed on the test region of Osaka (Japan) and the number of building types per cell and for each period is computed,… More >

  • Open Access

    ARTICLE

    Clustering building morphometrics using national spatial data

    Alessandro Araldi1, David Emsellem2, Giovanni Fusco1, Andrea Tettamanzi3, Denis Overal2

    Revue Internationale de Géomatique, Vol.31, No.2, pp. 265-302, 2022, DOI:10.3166/RIG.31.265-302© 2022

    Abstract The identification and description of building typologies play a fundamental role in the understanding of the overall built-up form. A growing body of research is developing and implementing sophisticated, computer-aided protocols for the identification of building typologies. This paper shares the same goal. An innovative data-driven procedure for the unsupervised identification and description of building types and organization is here presented. After a specific pre-processing procedure, we develop an unsupervised clustering combining a new algorithm of Naive Bayes inference and hierarchical ascendant approaches relying on six morphometric features of buildings. This protocol allows us to identify groups of buildings sharing… More >

  • Open Access

    ARTICLE

    Implementation of a solar model and shadow plotting in the context of a 2D GIS

    A validation based on radiometric measurements

    Thomas Leduc, Xenia Stavropulos-Laffaille, Ignacio Requena-Ruiz

    Revue Internationale de Géomatique, Vol.31, No.2, pp. 241-263, 2022, DOI:10.3166/RIG.31.241-263©2022

    Abstract The adaptation of public spaces to episodes of intense heat is now a major challenge for cities. With this in mind, this article presents a contribution aimed at delineating and handling the shadows on the ground or in a horizontal plane at a given height, whether it comes from buildings, street furniture or the tree cover. After a comparison with shadows obtained via two reference tools, we present two urban sites that mix shadows of different origins and, in addition, different indicators. The results of the simulations are compared with pyranometric surveys carried out on site. The aim of these… More >

  • Open Access

    EDITORIAL

    ÉDITORIAL

    François PINET, Didier JOSSELIN, Alain BOUJU

    Revue Internationale de Géomatique, Vol.31, No.2, pp. 239-240, 2022, DOI:10.3166/RIG.31.239-240©2022

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Mapping of Land Use and Land Cover (LULC) Using EuroSAT and Transfer Learning

    Suman Kunwar1,*, Jannatul Ferdush2

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

    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 (RGB) bands, we achieved an… More > Graphic Abstract

    Mapping of Land Use and Land Cover (LULC) Using EuroSAT and Transfer Learning

  • Open Access

    ARTICLE

    Contributions of Remote Sensing and GIS to the Inventory and Mapping of Colonial Geodetic Markers in the Katangese Copper Belt

    John Tshibangu Wa Ilunga1,*, Donatien Kamutanda Kalombo1, Olivier Ngoie Inabanza1, Dikumbwa N’landu1,2, Joseph Mukalay Muamba1,3, Patrice Amisi Mwana1, Urcel Kalenga Tshingomba1, Junior Muyumba Munganga1, Catherine Nsiami Mabiala1

    Revue Internationale de Géomatique, Vol.33, pp. 15-35, 2024, DOI:10.32604/rig.2024.046629

    Abstract The mutation of spaces observed in the Katangese Copper Belt (KCB) causes significant topographical changes. Some colonial geodetic markers are easily noticeable on many of the hills making up the KCB. These hills are subject to mining which ruins the completeness of the network of triangulations: geometric and trigonometric Katangese. In order to keep control of the latter, the study shows on the one hand the possibility of using SRTM data (Shuttle Radar Topography Mission) in the monitoring of the macro-change of the reliefs, from 442 positions, and on the other hand, an indirect (remote) inventory method of the existing… More >

  • Open Access

    ARTICLE

    Utilisation du système d’information géographique et modèle numérique de terrain dans l’analyse des caractéristiques hydro-morphométriques des sous-bassins versants de la rivière Tshopo, République démocratique du Congo

    Faidance Mashauri1,2,*, Mokili Mbuluyo1,3, Nsalambi Nkongolo2,4

    Revue Internationale de Géomatique, Vol.32, pp. 99-122, 2023, DOI:10.32604/rig.2023.044899

    Abstract L’analyse et la quantification des caractéristiques hydro-morphométriques sont essentielles pour une meilleure gestion des ressources en eau et une planification plus efficace des projets hydroélectriques dans le bassin de la Tshopo. Malheureusement, peu d’études ont été réalisées pour évaluer ces caractéristiques à l’échelle de ce bassin. Notre approche méthodologique consiste à utiliser les outils d’analyse des logiciels Système d’Information Géographique (SIG) appliqués au Modèle Numérique de Terrain (MNT) dérivé de l’image Advanced Land Observing Satellite (ALOS) World 3D-30m. Cela nous a permis d’extraire automatiquement le réseau hydrographique et de générer les sous-bassins versants de la Tshopo. Les résultats de cette… More >

  • Open Access

    ARTICLE

    Inversion of Water Quality TN-TP Values Based on Hyperspectral Features and Model Validation

    Yaping Luo1, Na Guo1,*, Dong Liu2, Shuming Peng3, Xinchen Wang4, Jie Wu3

    Revue Internationale de Géomatique, Vol.32, pp. 39-52, 2023, DOI:10.32604/RIG.2023.046014

    Abstract Using hyperspectral data collected in January and June 2022 from the Sha River, the concentrations of total nitrogen (TN) and total phosphorus (TP) were estimated using the differential method. The results indicate that the optimal bands for estimation vary monthly due to temperature fluctuations. In the TN model, the power function model at 586 nm in January exhibited the strongest fit, yielding a fit coefficient (R2) of 0.95 and F-value of 164.57 at a significance level (p) of less than 0.01. Conversely, the exponential model at 477 nm in June provided the best fit, with R2 = 0.93 and F… More > Graphic Abstract

    Inversion of Water Quality TN-TP Values Based on Hyperspectral Features and Model Validation

  • Open Access

    ARTICLE

    Influence des paramètres hydro-morphométriques sur l’écoulement des eaux des sous-bassins versants de la Tshopo, République démocratique du Congo

    Faidance Mashauri1,2,*, Mokili Mbuluyo1,3, Nsalambi Nkongolo2,4

    Revue Internationale de Géomatique, Vol.32, pp. 79-98, 2023, DOI:10.32604/RIG.2023.044124

    Abstract Les paramètres hydro-morphométriques les plus caractéristiques qui contrôlent l’écoulement des eaux du bassin versant de la Tshopo n’ont pas encore été déterminés. L’analyse de corrélation, la régression linéaire multiple et la classification ascendante hiérarchique ont été appliquées à l’ensemble des données afin d’identifier les variables les plus caractéristiques qui influencent considérablement la vitesse d’écoulement des eaux et regrouper les sous-bassins versants semblables physiquement. Les résultats obtenus mettent en évidence l’importance de la topographie sur l’écoulement des eaux. Trois variables topographiques, à savoir l’altitude médiane (H50), le dénivelé global (Dg) et le dénivelé spécifique (Ds), ont une influence significative (p-value ≤… More >

  • Open Access

    ARTICLE

    L’impact du Terrassement des Versants sur L’érosion Dans le Pourtour Occidental du Plateau du Jord Tannourine-Aaqoura (Liban)

    Hussein El Hage Hassan1,*, Laurence Charbel2, Ninon Blond3

    Revue Internationale de Géomatique, Vol.32, pp. 53-78, 2023, DOI:10.32604/RIG.2023.043180

    Abstract Le pourtour occidental du plateau du Jord Tannourine-Aaqoura (Liban) est une région montagnarde méditerranéenne qui réunit les conditions de l’érosion hydrique : pluie abondante, pente raide, couvert végétal naturel ravagé et sol sensible à la dégradation. Cependant les terrasses agricoles aménagées depuis des décennies demeurent une pratique robuste pour limiter le ruissellement et élargir la surface agricole utile. Afin d’évaluer l’érosion aréolaire et le rôle des pratiques antiérosives, la méthodologie adoptée repose sur l’équation universelle de l’USLE révisée (RUSLE). La combinaison de paramètres du modèle, dans un SIG, a permis de définir que l’érosion hydrique peut dépasser les 51 t/ha/an… More >

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