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Flood risk mapping using uncertainty propagation analysis on a peak discharge: case study of the Mille Iles River in Quebec / Jean-Marie Zokagoa in Natural Hazards, vol 107 n° 1 (May 2021)  

Public [article]  inNatural Hazards > vol 107 n° 1 (May 2021) . - pp 285 - 310 Titre : Flood risk mapping using uncertainty propagation analysis on a peak discharge: case study of the Mille Iles River in Quebec Type de document : Article/Communication Auteurs : Jean-Marie Zokagoa, Auteur ; Azzeddine Soulaïmani, Auteur ; Pierre Dupuis, Auteur Année de publication : 2021 Article en page(s) : pp 285 - 310 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] bathymétrie [Termes IGN] calcul de flux [Termes IGN] cartographie des risques [Termes IGN] hypercube [Termes IGN] inondation [Termes IGN] modèle hydrographique [Termes IGN] modèle mathématique [Termes IGN] propagation d'incertitude [Termes IGN] Québec (Canada) Résumé : (auteur) This study uses uncertainty propagation in real flood events to derive a probabilistic flood map. The flood event of spring 2017 in Quebec was selected for this analysis, with the computational domain being a reach of the Mille Iles River. The main parameter deemed uncertain in this work is the upstream water discharge; a given value of this discharge is utilized to build a random sample of 500 scenarios using the Latin hypercube sampling method. Simulations were run using CuteFlow-Cuda, an in-house finite volume-based shallow water equations solver, to derive the statistical mean and the standard deviation of the free surface elevation and the water depth at each node. For this real flood case, the initial interface flux scheme had to be adapted, combining a developed version of the scheme introduced by Harten, Lax and van Leer at wet interfaces and the Lax–Friedrichs scheme with additional free surface corrections for wet and dry transitions. Comparisons with results obtained from TELEMAC and from in situ observations show generally close predictions, and overall good agreement with observations. Errors of the free surface prediction relative to observations are less than 2.75%. A map based on the standard deviation of the water depth is presented to enhance the areas most prone to flooding. Finally, a flood map is produced, showing the flooded inhabited areas near the municipalities of Saint-Eustache and Deux Montagnes around the reach of the Mille Iles River as it overflows its natural bed. Numéro de notice : A2021-538 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s11069-021-04583-2 date de publication en ligne : 20/02/2021 En ligne : https://doi.org/10.1007/s11069-021-04583-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98008 [article]

Using climate-sensitive 3D city modeling to analyze outdoor thermal comfort in urban areas / Rabeeh Hosseinihaghighi in ISPRS International journal of geo-information, vol 9 n° 11 (November 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 11 (November 2020) . - n° 688 Titre : Using climate-sensitive 3D city modeling to analyze outdoor thermal comfort in urban areas Type de document : Article/Communication Auteurs : Rabeeh Hosseinihaghighi, Auteur ; Fatemeh Izadi, Auteur ; Rushikesh Padsala, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : n° 688 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] albedo [Termes IGN] arbre urbain [Termes IGN] ArcGIS [Termes IGN] changement climatique [Termes IGN] CityEngine [Termes IGN] climat urbain [Termes IGN] distribution spatiale [Termes IGN] gestion urbaine [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] modèle de simulation [Termes IGN] Montréal (Québec) [Termes IGN] planification urbaine [Termes IGN] température Résumé : (auteur) With increasing urbanization, climate change poses an unprecedented threat, and climate-sensitive urban management is highly demanded. Mitigating climate change undoubtedly requires smarter urban design tools and techniques than ever before. With the continuous evolution of geospatial technologies and an added benefit of analyzing and virtually visualizing our world in three dimensions, the focus is now shifting from a traditional 2D to a more complicated 3D spatial design and assessment with increasing potential of supporting climate-responsive urban decisions. This paper focuses on using 3D city models to calculate the mean radiant temperature (Tmrt) as an outdoor thermal comfort indicator in terms of assessing the spatiotemporal distribution of heat stress on the district scale. The analysis is done to evaluate planning scenarios for a district transformation in Montreal/Canada. The research identifies a systematic workflow to assess and upgrade the outdoor thermal comfort using the contribution of ArcGIS CityEngine for 3D city modeling and the open-source model of solar longwave environmental irradiance geometry (SOLWEIG) as the climate assessment model. A statistically downscaled weather profile for the warmest year predicted before 2050 (2047) is used for climate data. The outcome shows the workflow capacity for the structured recognition of area under heat stress alongside supporting the efficient intervention, the tree placement as a passive strategy of heat mitigation. The adaptability of workflow with the various urban scale makes it an effective response to the technical challenges of urban designers for decision-making and action planning. However, the discovered technical issues in data conversion and wall surface albedo processing call for the climate assessment model improvement as future demand. Numéro de notice : A2020-728 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9110688 date de publication en ligne : 19/11/2020 En ligne : https://doi.org/10.3390/ijgi9110688 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96335 [article]

Aux sources institutionnelles de l’enregistrement et du cadastre fonciers au Québec / Francis Roy in XYZ, n° 164 (septembre 2020)

Public [article]  inXYZ > n° 164 (septembre 2020) . - pp 43-55 Titre : Aux sources institutionnelles de l’enregistrement et du cadastre fonciers au Québec Type de document : Article/Communication Auteurs : Francis Roy, Auteur ; Yaïves Ferland, Auteur Année de publication : 2020 Article en page(s) : pp 43-55 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cadastre étranger [Termes IGN] arpentage [Termes IGN] cadastre ancien [Termes IGN] droit civil [Termes IGN] droit foncier [Termes IGN] géomètre [Termes IGN] histoire [Termes IGN] plan cadastral [Termes IGN] Québec (Canada) Résumé : (auteur) Les arpenteurs-géomètres du Québec ont dressé à la fin du XIXe siècle un cadastre graphique, dit “originaire”. Une fois aboli le régime seigneurial hérité de la Coutume de Paris, le Code civil du Bas-Canada (1866) a combiné la tenure des terres en censive avec les lots de canton concédés sous le Common Law, établissant la propriété foncière “absolue”. Chaque plan local de cadastre servit à identifier et numéroter les lots pour l’enregistrement des transactions et hypothèques. La désuétude des plans cadastraux, accrue par la multiplication de parties de lot non officialisées, devint un problème majeur. Le nouveau Code civil du Québec (1994) amorça la réforme du registre foncier et du cadastre du Québec, en version informatisée, pour immatriculer tous les lots du territoire à l’aide d’un plan présumé exact. Les mêmes questions organisationnelles et pratiques qu’à l’époque de l’institution du cadastre originaire se posèrent, dans un contexte technologique performant. Numéro de notice : A2020-554 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtSansCL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95822 [article]

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Tree annotations in LiDAR data using point densities and convolutional neural networks / Ananya Gupta in IEEE Transactions on geoscience and remote sensing, vol 58 n° 2 (February 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 2 (February 2020) . - pp 971 - 981 Titre : Tree annotations in LiDAR data using point densities and convolutional neural networks Type de document : Article/Communication Auteurs : Ananya Gupta, Auteur ; Jonathan Byrne, Auteur ; David Moloney, Auteur Année de publication : 2020 Article en page(s) : pp 971 - 981 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] données lidar [Termes IGN] Dublin (Irlande ; ville) [Termes IGN] étiquette [Termes IGN] extraction d'arbres [Termes IGN] image spectrale [Termes IGN] Montréal (Québec) [Termes IGN] segmentation [Termes IGN] semis de points [Termes IGN] voxel [Termes IGN] zone urbaine Résumé : (auteur) LiDAR provides highly accurate 3-D point clouds. However, data need to be manually labeled in order to provide subsequent useful information. Manual annotation of such data is time-consuming, tedious, and error prone, and hence, in this article, we present three automatic methods for annotating trees in LiDAR data. The first method requires high-density point clouds and uses certain LiDAR data attributes for the purpose of tree identification, achieving almost 90% accuracy. The second method uses a voxel-based 3-D convolutional neural network on low-density LiDAR data sets and is able to identify most large trees accurately but struggles with smaller ones due to the voxelization process. The third method is a scaled version of the PointNet++ method and works directly on outdoor point clouds and achieves an F score of 82.1% on the ISPRS benchmark data set, comparable to the state-of-the-art methods but with increased efficiency. Numéro de notice : A2020-095 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2942201 date de publication en ligne : 11/10/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2942201 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94658 [article]

Mapping dead forest cover using a deep convolutional neural network and digital aerial photography / Jean-Daniel Sylvain in ISPRS Journal of photogrammetry and remote sensing, vol 156 (October 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 156 (October 2019) . - pp 14 - 26 Titre : Mapping dead forest cover using a deep convolutional neural network and digital aerial photography Type de document : Article/Communication Auteurs : Jean-Daniel Sylvain, Auteur ; Guillaume Drolet, Auteur ; Nicolas Brown, Auteur Année de publication : 2019 Article en page(s) : pp 14 - 26 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] apprentissage profond [Termes IGN] arbre mort [Termes IGN] base de données forestières [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] couvert forestier [Termes IGN] feuillu [Termes IGN] forêt boréale [Termes IGN] image aérienne [Termes IGN] orthoimage [Termes IGN] peuplement mélangé [Termes IGN] Pinophyta [Termes IGN] Québec (Canada) [Termes IGN] santé des forêts Résumé : (Auteur) Tree mortality is an important forest ecosystem variable having uses in many applications such as forest health assessment, modelling stand dynamics and productivity, or planning wood harvesting operations. Because tree mortality is a spatially and temporally erratic process, rates and spatial patterns of tree mortality are difficult to estimate with traditional inventory methods. Remote sensing imagery has the potential to detect tree mortality at spatial scales required for accurately characterizing this process (e.g., landscape, region). Many efforts have been made in this sense, mostly using pixel- or object-based methods. In this study, we explored the potential of deep Convolutional Neural Networks (CNNs) to detect and map tree health status and functional type over entire regions. To do this, we built a database of around 290,000 photo-interpreted trees that served to extract and label image windows from 20 cm-resolution digital aerial images, for use in CNN training and evaluation. In this process, we also evaluated the effect of window size and spectral channel selection on classification accuracy, and we assessed if multiple realizations of a CNN, generated using different weight initializations, can be aggregated to provide more robust predictions. Finally, we extended our model with 5 additional classes to account for the diversity of landcovers found in our study area. When predicting tree health status only (live or dead), we obtained test accuracies of up to 94%, and up to 86% when predicting functional type only (broadleaf or needleleaf). Channel selection had a limited impact on overall classification accuracy, while window size increased the ability of the CNNs to predict plant functional type. The aggregation of multiple realizations of a CNN allowed us to avoid the selection of suboptimal models and help to remove much of the speckle effect when predicting on new aerial images. Test accuracies of plant functional type and health status were not affected in the extended model and were all above 95% for the 5 extra classes. Our results demonstrate the robustness of the CNN for between-scene variations in aerial photography and also suggest that this approach can be applied at operational level to map tree mortality across extensive territories. Numéro de notice : A2019-316 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.07.010 date de publication en ligne : 02/08/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.07.010 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93353 [article]

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Wood quality of black spruce and balsam fir trees defoliated by spruce budworm: A case study in the boreal forest of Quebec, Canada / Carlos Paixao in Forest ecology and management, vol 437 (1 April 2019)  

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Towards operational marker-free registration of terrestrial lidar data in forests / Jean-François Tremblay in ISPRS Journal of photogrammetry and remote sensing, vol 146 (December 2018)  

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Parametric bootstrap estimators for hybrid inference in forest inventories / Mathieu Fortin in Forestry, an international journal of forest research, vol 91 n° 3 (July 2018)  

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Post-1980 shifts in the sensitivity of boreal tree growth to North Atlantic Ocean dynamics and seasonal climate / Clémentine Ols in Global and Planetary Change, vol 165 (June 2018)  

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GPS coordinate time series measurements in Ontario and Quebec, Canada / Hadis Samadi Alinia in Journal of geodesy, vol 91 n° 6 (June 2017)  

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InSAR assessment of surface deformations in urban coastal terrains associated with groundwater dynamics / Jonathan C. L. Normand in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)  

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Cahiers de géographie de Quebec : Toponymie (Bulletin de Cahiers de géographie du Québec) / L. Trottier

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Pertinence de l’utilisation du LiDAR terrestre pour l’acquisition de données 3D à des fins de représentations cadastrales (condominiums) / Marc Vasseur (2014) 

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Pratique professionnelle de l'arpentage et SIG au Québec / Francis Roy in Géomètre, n° 2107 (octobre 2013)

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Couplage de l'AMCD avec les SIG en appui au processus décisionnel d'analyse des projets de fermes éoliennes, L'approche DEMIT / Maria De Vazquez in Revue internationale de géomatique, vol 23 n° 1 (mars - mai 2013)

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