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Rapport d'activité 2020 de l'Institut National de l'Information Géographique et Forestière IGN, 1. Activité / Institut national de l'information géographique et forestière (2012 -) (2021)
Titre de série : Rapport d'activité 2020 de l'Institut National de l'Information Géographique et Forestière IGN, 1 Titre : Activité Type de document : Rapport Auteurs : Institut national de l'information géographique et forestière (2012 -), Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2021 Importance : 51 p. Format : 21 x 30 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Histoire IGN
[Termes IGN] biodiversité
[Termes IGN] borne cadastrale
[Termes IGN] cartographie
[Termes IGN] DORIS
[Termes IGN] image aérienne
[Termes IGN] Institut national de l'information géographique et forestière (France)
[Termes IGN] intelligence artificielle
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] tempêteIndex. décimale : 42.40 Histoire IGN Note de contenu : - Tribune de Sébastien Soriano directeur général
- L'intelligence artificielle au service du climat
- Sensorialité de la carte papier
- Retour en images sur les 80 ans de l'Institut
- Doris a 30 ans
- Débusquer ensemble les bornes pour améliorer le plan cadastral
- Tempête Alex : l'IGN survole les zones sinistréesNuméro de notice : 28621A Affiliation des auteurs : IGN (2020- ) Thématique : FORET/GEOMATIQUE/IMAGERIE/POSITIONNEMENT Nature : Rapport d'activité DOI : sans En ligne : https://fr.calameo.com/read/0011885821cf2c195bd7c Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99521 Voir aussiRéservation
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Code-barres Cote Support Localisation Section Disponibilité 28621-01A 42.40 Livre Centre de documentation Histoire Disponible Documents numériques
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Rapport d'activité 2020 de l'IGNAdobe Acrobat PDF Remotely-sensed rip current dynamics and morphological control in high-energy beach environments / Isaac Rodriguez Padilla (2021)
Titre : Remotely-sensed rip current dynamics and morphological control in high-energy beach environments Titre original : Télédétection par système vidéo de la dynamique des courants induits par les vagues et de l’évolution morpholoqique des plages soumises aux houles énergétiques Type de document : Thèse/HDR Auteurs : Isaac Rodriguez Padilla, Auteur ; Bruno Castelle, Directeur de thèse ; Philippe Bonneton, Directeur de thèse Editeur : Bordeaux : Université de Bordeaux 1 Année de publication : 2021 Importance : 156 p. Format : 21 x 30 cm Note générale : Bibliographie
Thèse présentée pour obtenir le grade de Docteur de l’Université de Bordeaux, Spécialité : Physique de l'environnementLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de données localisées
[Termes IGN] carte bathymétrique
[Termes IGN] courant marin
[Termes IGN] données bathymétriques
[Termes IGN] données topographiques
[Termes IGN] érosion côtière
[Termes IGN] extraction de données
[Termes IGN] géomorphologie locale
[Termes IGN] houle
[Termes IGN] image vidéo
[Termes IGN] océanographie dynamique
[Termes IGN] Pyrénées-atlantiques (64)
[Termes IGN] séquence d'images
[Termes IGN] série temporelle
[Termes IGN] surveillance du littoral
[Termes IGN] tempête
[Termes IGN] trait de côte
[Termes IGN] vagueIndex. décimale : THESE Thèses et HDR Résumé : (Auteur) Understanding the surf zone circulation and the morphological changes within the nearshore is essential for both scientific and societal interests. However, direct measurements with in-situ instruments are logistically challenging and expensive. The development of optical remote sensing techniques in combination with low-cost image platforms and open-source algorithms offers the possibility of collecting large amounts of information at a reasonable instrumental and computational cost. This work builds on existing and new video monitoring techniques to remotely sense the nearshore bathymetry as well as the surf zone circulation in a high-energy meso-macro tidal beach environment, including storm events. The methods are validated against a dense data set acquired during an intensive field campaign conducted at Anglet beach, SW France. For the first time the temporal and spatial variability of concurrent nearshore bathymetry and surface currents are addressed under high-energy wave forcing. Note de contenu : 1. Introduction
1.1 General context
1.2 Objectives and approach
1.3 Thesis outline
2. Field site and data
2.1 Study site: La Petite Chambre d’Amour (PCA), Anglet Beach
2.2 October 2018 field experiment
3. Image stabilization
3.1 Preamble
3.2 Introduction
3.3 Article: A Simple and Efficient Image Stabilization Method for Coastal Video Monitoring Video Systems
4. Nearshore bathymetric mapping from video imagery
4.1 Preamble
4.2 Introduction
4.3 Indirect bathymetric mapping
4.4 cBathy algorithm
4.5 cBathy results and previous validation
4.6 cBathy settings for PCA beach field experiment
4.7 Topo-bathymetry surveys comparison
4.8 cBathy results
4.9 cBathy error assessment
4.10 Discussion
4.11 Conclusions
5. Optically derived wave-filtered surface currents
5.1 Preamble
5.2 Introduction
5.3 Article: Wave-Filtered Surf Zone Circulation under High-Energy Waves Derived from Video-Based Optical Systems
5.4 Implications and potential of optically derived wave-filtered surface cur?rents
6. Conclusions and perspectives
6.1 General conclusions
6.2 Research perspectivesNuméro de notice : 26726 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Physique de l'environnement : Bordeaux : 2021 Organisme de stage : Environnements et Paléoenvironnements Océaniques et Continentaux EPOC nature-HAL : Thèse DOI : sans Date de publication en ligne : 19/11/2021 En ligne : https://hal.science/tel-03436157 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99523 The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland / Ranjith Gopalakrishnan in Annals of Forest Science, vol 77 n° 4 (December 2020)
[article]
Titre : The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland Type de document : Article/Communication Auteurs : Ranjith Gopalakrishnan, Auteur ; Petteri Packalen, Auteur ; Veli-Pekka Ikonen, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 18 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] cartographie des risques
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] forêt
[Termes IGN] forêt boréale
[Termes IGN] image multibande
[Termes IGN] modèle de simulation
[Termes IGN] risque naturel
[Termes IGN] tempête
[Termes IGN] vent
[Termes IGN] zone à risqueRésumé : (auteur) Key message: The potential of airborne laser scanning (ALS) and multispectral remote sensing data to aid in generating improved wind damage risk maps over large forested areas is demonstrated. This article outlines a framework to generate such maps, primarily utilizing the horizontal structural information contained in the ALS data. Validation was done over an area in Eastern Finland that had experienced sporadic wind damage.
Context: Wind is the most prominent disturbance element for Finnish forests. Hence, tools are needed to generate wind damage risk maps for large forested areas, and their possible changes under planned silvicultural operations.
Aims: (1) How effective are ALS-based forest variables (e.g. distance to upwind forest stand edge, gap size) for identifying high wind damage risk areas? (2) Can robust estimates of predicted critical wind speeds for uprooting of trees be derived from these variables? (3) Can these critical wind speed estimates be improved using wind multipliers, which factor in topography and terrain roughness effects?
Methods: We first outline a framework to generate several wind damage risk–related parameters from remote sensing data (ALS + multispectral). Then, we assess if such parameters have predictive power. That is, whether they help differentiate between damaged and background points. This verification exercise used 42 wind damaged points spread over a large area.
Results: Parameters derived from remote sensing data are shown to have predictive power. Risk models based on critical wind speeds are not that robust, but show potential for improvement.
Conclusion: Overall, this work described a framework to get several wind risk–related parameters from remote sensing data. These parameters are shown to have potential in generating wind damage risk maps over large forested areas.Numéro de notice : A2020-629 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-020-00992-8 Date de publication en ligne : 09/10/2020 En ligne : https://doi.org/10.1007/s13595-020-00992-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96045
in Annals of Forest Science > vol 77 n° 4 (December 2020) . - 18 p.[article]Mining spatiotemporal association patterns from complex geographic phenomena / Zhanjun He in International journal of geographical information science IJGIS, vol 34 n° 6 (June 2020)
[article]
Titre : Mining spatiotemporal association patterns from complex geographic phenomena Type de document : Article/Communication Auteurs : Zhanjun He, Auteur ; Jiannan Cai, Auteur ; Zhong Xie, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 1162 -1 187 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] approche hiérarchique
[Termes IGN] Chine
[Termes IGN] diffusion spatiale
[Termes IGN] données localisées dynamiques
[Termes IGN] exploration de données géographiques
[Termes IGN] interaction spatiale
[Termes IGN] modèle entité-association
[Termes IGN] modélisation spatio-temporelle
[Termes IGN] phénomène géographique
[Termes IGN] pollution atmosphérique
[Termes IGN] tempêteRésumé : (auteur) Spatiotemporal association pattern mining can discover interesting interdependent relationships among various types of geospatial data. However, existing mining methods for spatiotemporal association patterns usually model geographic phenomena as simple spatiotemporal point events. Therefore, they cannot be applied to complex geographic phenomena, which continuously change their properties, shapes or locations, such as storms and air pollution. The most salient feature of such complex geographic phenomena is the geographic dynamic. To fully reveal dynamic characteristics of complex geographic phenomena and discover their associated factors, this research proposes a novel complex event-based spatiotemporal association pattern mining framework. First, a complex geographic event was hierarchically modeled and represented by a new data structure named directed spatiotemporal routes. Then, sequence mining technique was applied to discover the spatiotemporal spread pattern of the complex geographic events. An adaptive spatiotemporal episode pattern mining algorithm was proposed to discover the candidate driving factors for the occurrence of complex geographic events. Finally, the proposed approach was evaluated by analyzing the air pollution in the region of Beijing-Tianjin-Hebei. The experimental results showed that the proposed approach can well address the geographic dynamic of complex geographic phenomena, such as the spatial spreading pattern and spatiotemporal interaction with candidate driving factors. Numéro de notice : A2020-340 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1566549 Date de publication en ligne : 01/02/2019 En ligne : https://doi.org/10.1080/13658816.2019.1566549 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95216
in International journal of geographical information science IJGIS > vol 34 n° 6 (June 2020) . - pp 1162 -1 187[article]Real-time mapping of natural disasters using citizen update streams / Iranga Subasinghe in International journal of geographical information science IJGIS, vol 34 n° 2 (February 2020)
[article]
Titre : Real-time mapping of natural disasters using citizen update streams Type de document : Article/Communication Auteurs : Iranga Subasinghe, Auteur ; Silvia Nittel, Auteur ; Michael Cressey, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 393 - 421 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] approche participative
[Termes IGN] cartographie collaborative
[Termes IGN] catastrophe naturelle
[Termes IGN] classification par réseau neuronal
[Termes IGN] diagramme de Voronoï
[Termes IGN] données localisées des bénévoles
[Termes IGN] effondrement de terrain
[Termes IGN] incendie
[Termes IGN] inondation
[Termes IGN] positionnement cinématique en temps réel
[Termes IGN] système multi-agents
[Termes IGN] tempête
[Termes IGN] temps réel
[Termes IGN] ville intelligenteRésumé : (auteur) Natural disasters such as flooding, wildfires, and mudslides are rare events, but they affect citizens at unpredictable times and the impact on human life can be significant. Citizens located close to events can provide detailed, real-time data streams capturing their event response. Instead of visualizing individual updates, an integrated spatiotemporal map yields ‘big picture’ event information. We investigate the question of whether information from affected citizens is sufficient to generate a map of an unfolding natural disaster. We built the Citizen Disaster Reaction Multi-Agent Simulation (CDR-MAS), a multi-agent system that simulates the reaction of citizens to a natural disaster in an urban region. We proposed an rkNN classification algorithm to aggregate the update streams into a series of colored Voronoi event maps. We simulated the 2018 Montecito Creek mudslide and customized the CDR-MAS with the local environment to systematically generate stream data sets. Our experimental evaluation showed that event mapping based on citizen update streams is significantly influenced by the amount of citizen participation and movement. Compared with a baseline of 100% participation, with 40% citizen participation, the event region was predicted with 40% accuracy, showing that citizen update streams can provide timely information in a smart city. Numéro de notice : A2020-031 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1639185 Date de publication en ligne : 15/07/2019 En ligne : https://doi.org/10.1080/13658816.2019.1639185 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94486
in International journal of geographical information science IJGIS > vol 34 n° 2 (February 2020) . - pp 393 - 421[article]A spatially explicit database of wind disturbances in European forests over the period 2000–2018 / Giovanni Forzieri in Earth System Science Data, vol 12 n° 1 (January 2020)PermalinkSpace, time, and situational awareness in natural hazards: a case study of Hurricane Sandy with social media data / Zheye Wang in Cartography and Geographic Information Science, Vol 46 n° 4 (July 2019)PermalinkInterpreting effects of multiple, large-scale disturbances using national forest inventory data: A case study of standing dead trees in east Texas, USA / Christopher B. Edgar in Forest ecology and management, vol 437 (1 April 2019)PermalinkForest conversion from Norway spruce to European beech increases species richness and functional structure of aboveground macrofungal communities / Peggy Heine in Forest ecology and management, vol 432 (15 January 2019)PermalinkGlobal observations of ocean surface winds and waves using spaceborne synthetic aperture radar measurements / Huimin Li (2019)PermalinkTempête Xynthia à la Faute-sur-Mer : une analyse a posteriori de l’impact des « zones noires » et des alternatives possibles / Axel Creach in Norois, n° 251 ([01/01/2019])PermalinkAssessing forest windthrow damage using single-date, post-event airborne laser scanning data / Gherardo Chirici in Forestry, an international journal of forest research, vol 91 n° 1 (January 2018)PermalinkPermalinkPermalinkStand-level wind damage can be assessed using diachronic photogrammetric canopy height models / Jean-Pierre Renaud in Annals of Forest Science, vol 74 n° 4 (December 2017)Permalink