Part 1. Introduction to Forest Monitoring
1. Traditional methods in forest management
Prof. M L Khan, H S Gour
2. An overview of remote sensing technology in forest management
Dr Pavan Kumar, RLBCAU, Jhansi
3. A global vulnerability management of forest resources
P K Joshi, JNU, New Delhi
4. Forest resource sustainable exploitation and management
Dr. Ayyanadar Arunachalam, CAFRI
Part 2. Forest Species Stand Classification: Definition and Perspectives
5. A general method for the classification of forest stands
Dr Prashant Srivastava, BHU
6. Forest stand species mapping using the Sentinel-2
Dr George Petropoulos, University of Athens, Greece
7. Multi-species stand classification: Definition and Perspectives
Dr. Mukund Behera, IIT Kharagpur
8. Classification of forest stand considering shapes and sizes of tree crown calculated
Ionut Sandric, University of Bucharest, Romania
Part 3. Assessment of Biophysical and Biochemical Parameters
9. Establishing relationships between in situ measured between biophysical and biochemical parameters
Jochem Verrelst, University of Valencia, Spain
10. Chlorophyll assessment and sensitivity analysis using NIR- 11. Carbon stock assessment using non-linear processes
Dr. Avijit Ghose, GSM Division, ICAR-IGFRI, Jhansi
12. Forest biodiversity and vegetation health assessment using narrow band hyperspectral data
Sudhakar Reddy (Lead), NRSC
Part 4. Methodological Considerations in the Study of Forest Ecosystems
13. Thermal hyperspectral applications in forest ecosystem classification
14. Invasive species identification and mapping using multi-source data
Prem Pandey, SNU
15. Social functional mapping of urban green space using remote sensing data
Prof. AS Raghubanshi, BHU
16. Bayesian data synthesis for forest fire estimation
Krishna Prasad Vadrevu, NASA Marshall Centre, USA
Part 5. Artificial Intelligence, Machine Learning and Deep Learning Techniques
17. Developments of LiDAR for forest monitoring
Sudhakar Reddy (Lead), NRSC.
18. Forest damage assessment using deep learning
Akash Anand, Wisconsin Madison University, USA
19. Artificial intelligence and forest management
Dr Salim Lamine, Algeria
20. Application of machine-learning in forest monitoring: Recent progress and future challenges
Dr. Bappa Das, CCARI, Goa
Part 6. Challenges and Future Needs
21. Building capacity in remote sensing for conservation: present and future challenges
Prof. P S Roy, WRI
22. Developments of optical remote sensing: UAVs, hyperspectral and multispectral
Prashant Srivastava, BHU
23. Developments of Review of present perspective, challenges, and Future aspects
Er. Kireet Kumar, NMHS
24. New satellite missions and sensors for forest monitoring
C S Jha, NRSC, ISRO