Margarita N. Favorskaya, Lakhmi C. Jain

Handbook on Advances in Remote Sensing and Geographic Information Systems

Paradigms and Applications in Forest Landscape Modeling

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Intelligent Systems Reference Library 122
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-84871-6
• Softcover reprint of the original 1st ed. 2017
• Seitenzahl: 436
• Erscheinungstermin: 18. Juli 2018
• Englisch
• Abmessung: 235mm x 155mm x 24mm
• Gewicht: 685g
• ISBN-13: 9783319848716
• ISBN-10: 3319848712
• Artikelnr.: 53584163

Inhaltsangabe

Innovations in Remote Sensing of Forests.- Overview of LiDAR Technologies and Equipment for Land Cover Scanning.- Software Tools for Terrain and Forest Modelling.- Data Fusion for Evaluation of Woodland Parameters.- Tree Modelling in Virtual Reality Environment.- Realistic Tree Modelling.- Digital Modelling of Terrain Surface.- Texturing of Landscape Scenes.- Large Scene Rendering.- Scene Rendering under Meteorological Impacts.- Lighting and Shadows Rendering in Natural Scenes.- Modelling of Forest Ecosystems.

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Innovations in Remote Sensing of Forests.- Overview of LiDAR Technologies and Equipment for Land Cover Scanning.- Software Tools for Terrain and Forest Modelling.- Data Fusion for Evaluation of Woodland Parameters.- Tree Modelling in Virtual Reality Environment.- Realistic Tree Modelling.- Digital Modelling of Terrain Surface.- Texturing of Landscape Scenes.- Large Scene Rendering.- Scene Rendering under Meteorological Impacts.- Lighting and Shadows Rendering in Natural Scenes.- Modelling of Forest Ecosystems.