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Handbook on advances in remote sensing and geographic information systems / Margarita N. Favorskaya (2017)
Titre : Handbook on advances in remote sensing and geographic information systems : paradigms and applications in forest landscape modeling Type de document : Guide/Manuel Auteurs : Margarita N. Favorskaya, Auteur ; Lakhmi C. Jain, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2017 Collection : Intelligent Systems Reference Library num. 122 Importance : 415 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-52306-4 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] arbre (flore)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] éclairage
[Termes IGN] écosystème forestier
[Termes IGN] fusion de données
[Termes IGN] image optique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] lasergrammétrie
[Termes IGN] logiciel
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] modèle numérique de terrain
[Termes IGN] modélisation 3D
[Termes IGN] ombre
[Termes IGN] réalité virtuelle
[Termes IGN] reconstruction d'objet
[Termes IGN] rendu (géovisualisation)
[Termes IGN] semis de points
[Termes IGN] texturageIndex. décimale : 35.41 Applications de télédétection - végétation Résumé : (Editeur) This book presents the latest advances in remote-sensing and geographic information systems and applications. It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) and Optical Measurements of Forests; Individual Tree Modelling; Landscape Scene Modelling; and Forest Eco-system Modelling. Given the scope of its coverage, the book offers a valuable resource for students, researchers, practitioners, and educators interested in remote sensing and geographic information systems and applications. Note de contenu : 1 INNOVATIONS IN REMOTE SENSING OF FORESTS
1.1 Introduction
1.2 Chapters Including in the Book
1.3 Conclusions
Part 1 - Airborne LiDAR and Optical Measurements of Forest
2 OVERVIEW OF LIDAR TECHNOLOGIES AND EQUIPMENT FOR LAND COVER SCANNING
2.1 Introduction
2.2 Development of LiDAR Technology
2.3 Overview of Airborne Laser Scanning
2.4 Overview of UAV Laser Scanning
2.5 Overview of Terrestrial Laser Scanning
2.6 Comparison of Remote Sensing Techniques for Forest Inventory
2.7 Conclusions
3 SOFTWARE TOOLS FOR TERRAIN AND FOREST MODELLING
3.1 Introduction
3.2 Survey of Software Tools for Terrain Modelling
3.3 Survey of Software Tools for Vegetation Modelling
3.4 Conclusions
4 DATA FUSION FOR EVALUATION OF WOODLAND PARAMETERS
4.1 Introduction
4.2 Related Work
4.3 Generalized Flowchart for Data Fusion of Airborne Laser Scanning, Imaging Spectroscopy, and Imaging Photography
4.4 Representation of Airborne LiDAR and Digital Photography Data
4.5 Method for Crown and Trunk Measurements
Active Contour Models
4.6 Experimental Results
4.7 Conclusions
Part 2 - Individual Tree Modelling
5 TREE MODELLING IN VIRTUAL REALITY ENVIRONMENT
5.1 Introduction
5.2 Related Work
5.3 Fundamentals of L-Systems
5.4 Procedural Modelling of Broad-Leaved Trees and Shrubs
5.5 Procedural Modelling of Coniferous Trees
5.6 Modelling Results
5.7 Conclusions
6 REALISTIC TREE MODELLING
6.1 Introduction
6.2 Related Work
6.3 Voxel Modelling of Vegetation
6.4 Improvement of Tree Models by Realistic Data
6.5 Experimental Results
6.6 Conclusions
Part 3 - Landscape Scene Modelling
7 DIGITAL MODELLING OF TERRAIN SURFACE
7.1 Introduction
7.2 Related Work
7.3 Densification of LiDAR Point Cloud
7.4 Filtering of LiDAR Points
7.5 Generation of Digital Terrain Model
7.6 Experimental Results
7.7 Conclusions
8 TEXTURING OF LANDSCAPE SCENES
8.1 Introduction
8.2 Related Work
8.3 Fundamentals of Texture Mapping
8.4 Multi-resolution Texturing for Digital Earth Surface Model
8.5 Multi-resolution Texturing for Vegetation Models
8.6 Experimental Results
8.7 Conclusions
9 LARGE SCENE RENDERING
9.1 Introduction
9.2 Related Work
9.3 Large Landscape Scene Rendering
9.4 Large Terrain Rendering
9.5 Vegetation Rendering
9.6 Realistic Lighting
9.7 Shaders
9.8 Conclusions
10 SCENE RENDERING UNDER METEOROLOGICAL IMPACTS
10.1 Introduction
10.2 Related Work
10.3 Wind Rendering
10.4 Fog Simulation
10.5 Rain Simulation
10.6 Snow Covering Simulation
10.7 Natural Objects’ Rendering
10.8 Experimental Results
10.9 Conclusions
Part 4 - Forest Ecosystem Modelling
11 LIGHTING AND SHADOWS RENDERING IN NATURAL SCENES
11.1 Introduction
11.2 Related Work
11.3 Background of Lighting
11.4 Simulation of Lighting in Modelling Scene
11.5 Simulation of Lighting Changes in Modelling Scene
11.6 Implementation
11.7 Conclusions
12 MODELLING OF FOREST ECOSYSTEMS
12.1 Introduction
12.2 Related Work
12.3 Forest Scene Modelling
12.4 Forest Ecosystems
12.5 Modelling of Living Conditions
12.6 ConclusionsNuméro de notice : 22742 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85782 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 22742-01 35.41 Livre Centre de documentation Télédétection Disponible
Titre : Theories and Simulations of Complex Social Systems Type de document : Monographie Auteurs : Vahid Dabbaghian, Éditeur scientifique ; Vijay Kumar Mago, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Intelligent Systems Reference Library num. 52 Importance : 204 p. ISBN/ISSN/EAN : 978-3-642-39148-4 Langues : Anglais (eng) Résumé : (éditeur) Research into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research. Numéro de notice : sans Affiliation des auteurs : non IGN Nature : Recueil / ouvrage collectif En ligne : http://dx.doi.org/10.1007/978-3-642-39149-1 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78555 Theories and simulations of complex social systems, ch. Modeling humain behavior in space and time using mobile phone data / Ana-Maria Olteanu-Raimond (2014)
Titre de série : Theories and simulations of complex social systems, ch Titre : Modeling humain behavior in space and time using mobile phone data Type de document : Chapitre/Contribution Auteurs : Ana-Maria Olteanu-Raimond , Auteur ; Thomas Couronné, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Intelligent Systems Reference Library num. 52 Importance : pp 31 - 42 Langues : Anglais (eng) Résumé : (auteur) in this chapter, we present an overview of the main sources of data coming from mobile phone tracking and models allowing the use of these data. Several issues due to the quality of mobile phone data are explained. In particular, we provide a taxonomy of mobile phone data imprecison and suggest new metrics to estimate the basic properties of displacements are defined: mobility intensity (speed-like measure) and uncertainty. Numéro de notice : H2014-002 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-3-642-39149-1_4 Date de publication en ligne : 27/10/2013 En ligne : http://dx.doi.org/10.1007/978-3-642-39149-1_4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78554