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Remote Sensing for Vegetation Monitoring
Technologies, Applications and Models
- 1st Edition - February 1, 2026
- Editors: Prem Chandra Pandey, Mukunda Behera, Komali Kantamaneni, Navneet Kumar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 0 7 6 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 0 7 7 - 3
Remote Sensing for Vegetation Monitoring provides insight on the pivotal role that remote sensing plays in vegetation monitoring. As traditional field assessments face challenges… Read more
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Request a sales quoteRemote Sensing for Vegetation Monitoring provides insight on the pivotal role that remote sensing plays in vegetation monitoring. As traditional field assessments face challenges due to inaccessible study sites and lengthy data collection, this book offers a comprehensive view of remote sensing applications for monitoring various vegetation ecosystems, including forests, grasslands, mangroves, and agriculture. The book presents a coherent and consistent structure, across five sections that build upon prior knowledge and detail the quantitative and qualitative assessments made possible through remote sensing technologies. Remote Sensing for Vegetation Monitoring caters to a diverse audience, including researchers and practitioners seeking to navigate the evolving landscape of vegetation monitoring through case studies, new algorithms and state-of-the-art methods.
• Provides the latest remote sensing techniques applied in all aspects of vegetation monitoring including forests, agriculture, grassland, phytoplankton, and mangroves
• Chapters are well-integrated and interdisciplinary, with consistent quality and continuity
• Includes recent, practical case studies across major global geographies that are formatted to be easily understood and reproduced
• Chapters are well-integrated and interdisciplinary, with consistent quality and continuity
• Includes recent, practical case studies across major global geographies that are formatted to be easily understood and reproduced
Masters and PhD Students, engineers, and scientists from Research and Academia inclusing geoscientists, environmentalist scientists, water science, hydrology, and computing experts working in the area of remote sensing
1. Introduction to Remote Sensing for Vegetation Monitoring
Section 1 Conventional and Advanced Forest Ecosystem Monitoring
2. Surveying Techniques and Sampling Techniques in Forest Ecosystems
3. Crop Canopy Stress/Chlorophyll Estimation Using Drone or Thermal Sensors
4. Biophysical And Biochemical Analysis and Monitoring of Forest Ecosystems
5. Species-Level Classification Using Pixel Based and OBIA Object Based Approaches Drones in Vegetation and Surroundings Assessment
6. Mangroves Forests - Blue Carbon Places to Help Mitigate Climate Change
7. Multi-Source and Multi-Sensor Approaches in Forest Monitoring
8. Forest Fire Analysis, Simulation and Modelling Using Advanced Techniques
9. Biophysical/Biochemical Parameter Retrieval from An Unmanned Autonomous Vehicle (UAV)
10. Forest Ecosystem Monitoring Summary
Section 2 Agriculture and Grassland Monitoring
11. Crop Stress and Water Deficit Relationship Using Remote Sensing and Field Inventory Methods
12. Crop Yield Estimation and Modelling
13. Crop Damage Assessment Using Multi-Sensors and Multi-Source Remote Sensing Data
14. Artificial Intelligence Techniques in Grassland Monitoring
15. Establishment Of Relationships Between in Situ Measured Biophysical/Biochemical Parameters and Ground-Measured Data
16. Agriculture and Grassland Monitoring Summary
Section 3 Monitoring Urban Green Space and Mangrove Forests
17. Urban Discomfort Analysis and Urban Green Space Assessment
18. Urban Heat Islands – Can This Be Mitigated by Increasing Green Spaces?
19. Monitoring Urban Green Space and Mangrove Forests Summary
Section 4 Advanced Modelling for Machine Learning / Artificial Intelligence
20. Hyperspectral Data for Quantification of Vegetation
21. Multi-Source and Machine Learning in Vegetation Classification
22. Data Fusion Technique and GUI Based Model in Vegetation Mapping and Monitoring
23. Deep Learning Techniques in Mangrove Forest Monitoring
24. ML and Modelling Summary
Section 5 Future Aspects and Challenges in Remote Sensing
25. Challenges And Emerging Applications in Vegetation Monitoring
26. Future Earth Observation Space Missions Devoted to Vegetation Monitoring for Sustainable Development Goals.
27. Summary of Future Challenges
Section 1 Conventional and Advanced Forest Ecosystem Monitoring
2. Surveying Techniques and Sampling Techniques in Forest Ecosystems
3. Crop Canopy Stress/Chlorophyll Estimation Using Drone or Thermal Sensors
4. Biophysical And Biochemical Analysis and Monitoring of Forest Ecosystems
5. Species-Level Classification Using Pixel Based and OBIA Object Based Approaches Drones in Vegetation and Surroundings Assessment
6. Mangroves Forests - Blue Carbon Places to Help Mitigate Climate Change
7. Multi-Source and Multi-Sensor Approaches in Forest Monitoring
8. Forest Fire Analysis, Simulation and Modelling Using Advanced Techniques
9. Biophysical/Biochemical Parameter Retrieval from An Unmanned Autonomous Vehicle (UAV)
10. Forest Ecosystem Monitoring Summary
Section 2 Agriculture and Grassland Monitoring
11. Crop Stress and Water Deficit Relationship Using Remote Sensing and Field Inventory Methods
12. Crop Yield Estimation and Modelling
13. Crop Damage Assessment Using Multi-Sensors and Multi-Source Remote Sensing Data
14. Artificial Intelligence Techniques in Grassland Monitoring
15. Establishment Of Relationships Between in Situ Measured Biophysical/Biochemical Parameters and Ground-Measured Data
16. Agriculture and Grassland Monitoring Summary
Section 3 Monitoring Urban Green Space and Mangrove Forests
17. Urban Discomfort Analysis and Urban Green Space Assessment
18. Urban Heat Islands – Can This Be Mitigated by Increasing Green Spaces?
19. Monitoring Urban Green Space and Mangrove Forests Summary
Section 4 Advanced Modelling for Machine Learning / Artificial Intelligence
20. Hyperspectral Data for Quantification of Vegetation
21. Multi-Source and Machine Learning in Vegetation Classification
22. Data Fusion Technique and GUI Based Model in Vegetation Mapping and Monitoring
23. Deep Learning Techniques in Mangrove Forest Monitoring
24. ML and Modelling Summary
Section 5 Future Aspects and Challenges in Remote Sensing
25. Challenges And Emerging Applications in Vegetation Monitoring
26. Future Earth Observation Space Missions Devoted to Vegetation Monitoring for Sustainable Development Goals.
27. Summary of Future Challenges
- No. of pages: 450
- Language: English
- Edition: 1
- Published: February 1, 2026
- Imprint: Elsevier
- Paperback ISBN: 9780443330766
- eBook ISBN: 9780443330773
PP
Prem Chandra Pandey
Dr. Prem Chandra Pandey received PhD from the University of Leicester, United Kingdom, under Commonwealth Scholarship and Fellowship Plan. Currently, he is working as an assistant professor at the Department of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence (Deemed to be University), UP, India. Previously, he has been associated with Banaras Hindu University, India, as an SERB-NPDF fellow. He received BSc and MSc degrees from Banaras Hindu University and MTech degree (Remote Sensing) from Birla Institute of Technology, India. He has worked as a professional research fellow on remote sensing applications in the National Urban Information System funded by NRSC Government of India. He has been a recipient of several awards including Commonwealth Fellow, United Kingdom, INSPIRE fellow GoI, MHRD-UGC fellow GoI, Malviya Gold Medal from Banaras Hindu University, SERB-NPDF from Government of India, and Young Investigator Award. Dr. Pandey is working in three projects related to monitoring of wetlands/Chilika lake mainly focusing on Ramsar sites along with other natural resourcesbased research work funded by NGP and SERB Government of India. He has published more than 50 peerreviewed journal papers, seven edited books, several book chapters, and presented his work in national and international conferences. He is serving as a member of editorial board for Geocarto International journal, Taylor & Francis, Sustainable Development (Wiley- IF 12.5) and acted as a guest editor for Remote Sensing,
Affiliations and expertise
Assistant Professor, Department of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence (Deemed to be University), IndiaMB
Mukunda Behera
Dr. Mukunda Dev Behera is an associate Professor in the Centre for Oceans, Rivers, Atmosphere and Land Sciences at the Indian Institute of Technology Kharagpur. Prior to this, he has worked for the Indian Space Research Organization (ISRO). Dr. Behera has made outstanding contributions to the fields of forest remote sensing, land and water resource management, and ecological climatology by theorizing, modeling, and conducting innovative experiments and field-based measurements with satellite remote sensing. He has developed innovative protocols and new methods for estimating a range of vegetation photosynthetic/ structural variables including leaf area index, canopy height, aboveground biomass and productivity using suite of satellite data products and modeling. He has over 110 peer-reviewed journal publications, and has co-edited several books. He serves the editorial boards of several reputed environmental journals and contributed to IPCC AR-6 of WG-II.
Affiliations and expertise
Associate Professor, Centre for Oceans, Rivers, Atmosphere and Land Sciences (CORAL), Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, IndiaKK
Komali Kantamaneni
Dr Kantamaneni is currently working as a Senior Research Fellow at the Faculty of Science and Technology, University of Central Lancashire (UCLan), United Kingdom. Her research has produced, for the first time, a combined vulnerability assessment based on physical science parameters and economic drivers. Her academic background gives her different perspectives, and she engages with interdisciplinary and multidisciplinary projects such as coastal and water infrastructures, natural disasters, risk assessment and management. Her research focuses mainly on coastal vulnerability, natural disasters, natural hazards, climate change, water infrastructure and GIS mapping, and she has been plenary/keynote and invited speaker at many major international conferences. Dr Kantamaneni has been an evaluator for various coastal and maritime research projects, and is also Principal Investigator and Co-Investigator to a number of international research projects.
NK
Navneet Kumar
Dr Navneet Kumar is a Senior Researcher in the Ecology and Natural Resources Management Division of the Center for Development Research (ZEF), Germany. His research interests in water and natural resource management & Geoinformatics (Remote sensing & GIS) include water resource management; environmental and climate change; sustainable use of natural resources; new technologies; environmental impact analysis; and agriculture, land use, and climate change. He has performed research over a broad variety of geographies including Germany and Europe, Ethiopia, USA, India, Uzbekistan, Niger among others. He has contributed to numerous international research projects including WESA: Water and Energy Security for Africa, Opportunities for climate change mitigation through afforestation of degraded croplands in Central Asia, and a collaboration Initiation Project between Germany and South Korea: “Hydro-ecological basis and future projections for re- and afforestation efforts under climate change”, along with many other research projects. He is also a Disciplinary Course Coordinator for the ZEF Doctoral Program and has been Guest editor for a Special Issue in Sustainability: Sustainable Innovations in Natural Resources Management Using Earth Observation Data and Geospatial Technologies.