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© 2017

Handbook on Advances in Remote Sensing and Geographic Information Systems

Paradigms and Applications in Forest Landscape Modeling

Book

Part of the Intelligent Systems Reference Library book series (ISRL, volume 122)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Margarita N. Favorskaya, Lakhmi C. Jain
    Pages 1-15
  3. Airborne LiDAR and Optical Measurements of Forest

    1. Front Matter
      Pages 17-17
    2. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 19-68
    3. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 69-109
    4. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 111-137
  4. Individual Tree Modelling

    1. Front Matter
      Pages 139-139
    2. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 141-179
    3. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 181-202
  5. Landscape Scene Modelling

    1. Front Matter
      Pages 203-203
    2. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 205-250
    3. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 251-279
    4. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 281-320
    5. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 321-364
  6. Forest Ecosystem Modelling

    1. Front Matter
      Pages 365-365
    2. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 367-396
    3. Margarita N. Favorskaya, Lakhmi C. Jain
      Pages 397-415

About this book

Introduction

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.

Keywords

Data Fusion Techniques Forest Monitoring GIS Applications Intelligent Systems L-Systems Landscape Modeling Laser Data Natural Scenes Radar Data Remote Sensing Visual Data

Authors and affiliations

  1. 1.Department of Informatics and Computer and Computer TechniquesSiberian State Aerospace UniversityKrasnoyarskRussia
  2. 2.Faculty of Science, Technology and MatheUniversity of Canberra Faculty of Science, Technology and MatheCanberraAustralia

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