Advances in Remote Sensing for Forest Monitoring

400 Pages·2022·19.728 MB·English

by  Paul Arellano, Prem C. Pandey

Advances in Remote Sensing for 
Forest Monitoring

Advances in Remote Sensing for
Forest Monitoring
Edited by Prem C. Pandey and Paul Arellano
This edition first published 2023
© 2023 John Wiley & Sons Ltd
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Library of Congress Cataloging- in- Publication Data
Names: Pandey, Prem C., 1985- editor. | Arellano, Paul, 1967– editor.
Title: Advances in remote sensing for forest monitoring / edited by Prem
C. Pandey & Paul Arellano.
Description: Hoboken, NJ : Wiley, 2023. | Includes bibliographical
references and index.
Identifiers: LCCN 2022040573 (print) | LCCN 2022040574 (ebook) | ISBN
9781119788126 (cloth) | ISBN 9781119788133 (adobe pdf) | ISBN
9781119788140 (epub)
Subjects: LCSH: Forests and forestry–Remote sensing. | Forest monitoring.
Classification: LCC SD387.R4 A36 2023 (print) | LCC SD387.R4 (ebook) |
DDC 634.9–dc23/eng/20220829
LC record available at https://lccn.loc.gov/2022040573
LC ebook record available at https://lccn.loc.gov/2022040574
Cover Design: Wiley
Cover Image: © Vonkara1/Getty Images
Set in 9.5/12.5pt STIXTwoText by Straive, Pondicherry, India
Dedicated to the loving memory of my father, 1941–2019, and mother, 1946–2013.who
inspired me to follow the dreams for success.
— Dr. Prem C. Pandey
This book is dedicated to my six- year- old beloved son Paul Nicolás, the sweetest little
sunshine of my life.
— Dr. Paul Arellano

vii
Contents
List of Contributors xv
Foreword xix
Preface xxi
List of Abbreviations xxv
Editors xxxiv
Section I General Introduction to Forest Monitoring 1
1 Introduction to Forest Monitoring Using Advanced Remote Sensing Technology –
An Editori al Message 3
Prem C. Pandey and Paul Arellano
1.1 Introduction 3
1.2 Forest Monitoring: Importance and Trends 3
1.3 Advances in Remote Sensing Technology for Forest Monitoring 5
1.4 Summary 8
References 8
2 Geospatial Perspectives of Sustainable Forest Management to Enhance Ecosystem
Services and Livelihood Security 10
Amit Kumar, Pawan Ekka, Subhashree Patra, Gajendra Kumar, Bodi S.P.C. Kishore,
Rahul Kumar, and Purabi Saikia
2.1 Introduction and Background 10
2.2 Major Ecological Disturbances of Forests 12
2.2.1 Livelihood Dependencies 12
2.2.1.1 Livestock Grazing 12
2.2.1.2 Fuelwood Collection 16
2.2.1.3 Forage Removal 16
2.2.1.4 Minor Forest Products (MFPs) Collection 17
2.3 Forest Fires 19
2.4 Invasive Plant Species (IPS) 20
2.5 Climate Change 23
2.6 Forest Ecosystem Services (FESs) 24
viii Contents
2.7 Sustainable Uses of Forests and Their Contributions to Livelihood Security 26
2.8 Landscape Based Approach (LbA) and Ecosystem- Based Approach (EbA) of
Sustainable Forests Management (SFM) 27
2.9 Conclusions 29
References 29
Section II Forest Parameters – Biochemical and Biophysical Parameters 43
3 Distinguishing Carotene and Xanthophyll Contents in the Leaves of Riparian
Forest Species by Applying Machine Learning Algorithms to Field
Reflectance Data 45
Guillaume Lassalle and Sophie Fabre
3.1 Introduction 45
3.1.1 Chapter Overview 45
3.1.2 Threats to Riparian Forests 45
3.1.3 Remote Sensing of Riparian Forests 46
3.1.4 Implication of Carotenoids in Plant Stress 46
3.1.5 Advances in Carotenoid Retrieval Using Reflectance
Spectroscopy 48
3.1.6 Applying Machine Learning to Reflectance Spectroscopy 48
3.2 Study Area 49
3.3 Data 49
3.3.1 Leaf Sampling and Analysis 49
3.3.2 Reflectance Measurements 50
3.4 Methodology 50
3.4.1 Preprocessing of Reflectance Data 50
3.4.2 ML Algorithms 52
3.4.3 Carotenoid Prediction 53
3.5 Results 54
3.5.1 Leaf Carotenoid Contents 54
3.5.2 Predictions of Carotenoid Contents Using ML Algorithms 55
3.6 Discussion 58
3.6.1 Sources of Variability in the Carotenoid Pool among Species 58
3.6.2 Toward a Broad- Scale Monitoring of Carotenoids? 59
3.6.3 Sensitivity Analysis 60
3.7 Conclusion 61
Acknowledgments 61
Funding 61
References 61
Supporting Information 69
4 Modeling of Abiotic Stress of Conifers with Remote Sensing Data 78
Lachezar Filchev
4.1 Introduction 78
4.2 Natural Factors 81