Mishra / Agarwal Forest Health Monitoring Using AI and Remote Sensing

1. Auflage 2025
ISBN: 978-3-389-14220-2
Verlag: GRIN Verlag
Format: PDF
Kopierschutz: 0 - No protection

E-Book, Englisch, 68 Seiten

Scientific Study from the year 2025 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: Forest ecosystems play a pivotal role in global ecological stability, biodiversity conservation, and climate regulation. Monitoring forest health is critical to combating deforestation, disease outbreaks, and climate-induced stressors. This book presents the integration of Artificial Intelligence (AI) and Remote Sensing (RS) technologies as transformative tools for forest health monitoring. The book explores AI-based approaches, data fusion techniques, satellite and UAV applications, and real-world case studies, highlighting the potential for predictive, scalable, and real-time ecosystem management. Forests are indispensable components of Earth's ecological and climatic systems, serving as critical reservoirs of biodiversity, carbon sinks, and providers of ecosystem services. However, they are increasingly threatened by deforestation, climate-induced stressors, pest outbreaks, and anthropogenic disturbances. Traditional forest health monitoring methods-such as manual ground surveys and visual inspections-are labor-intensive, limited in spatial and temporal scope, and often insufficient for large-scale, dynamic assessments. Recent advancements in Artificial Intelligence (AI) and Remote Sensing (RS) technologies have enabled transformative approaches to monitoring forest health with improved scalability, accuracy, and temporal frequency. This book investigates the synergistic integration of AI and RS for comprehensive forest health monitoring. Key themes include the use of satellite and Unmanned Aerial Vehicle (UAV) platforms, spectral and thermal indices, machine learning and deep learning algorithms, and real-world applications in detecting deforestation, disease outbreaks, and drought stress. By leveraging multisource data fusion and AI-driven analytics, forest monitoring systems can achieve predictive, automated, and near real-time capabilities. The book also discusses technological challenges, data limitations, and future directions, underscoring the potential of AI-RS integration in enhancing ecosystem resilience and supporting sustainable forest management in the Anthropocene era.

Dr. Rajesh Kumar Mishra, ICFRE-Tropical Forest Research Institute, Jabalpur (MP), India is an internationally acclaimed researcher in the field of astrophysics, cosmic rays, space science, electronics, computer science and forestry. He has a postgraduate degree in Physics and Mathematics. He has done his doctoral degree in space science. Dr. Mishra has more than 30 years experience in various branches of astrophysics, cosmic rays, space science, climate change, computer applications, web application, network application and database development, and forestry science. He has more than 500 research publications in International and National journals in his credit. He has published 10 books, 20 book chapters at national and international forum. He is a life member of Indian Physics Association and Plasma Space science of India and member of Division of Plasma Physics, Association of Asia Pacific Physical Societies (AAPPS-DPP). He isworking as Assistant Editor for the online open access magazine "Van Sangyan" and Executive Board Member and Editorial Board Member for the journal Indian Journal of Tropical Biodiversity published by Society for Promotion of Tropical Biodiversity.

Autoren/Hrsg.

Mishra, Rajesh Kumar

Mishra, Divyansh

Agarwal, Rekha