Utilization of Remote Sensing Technology and IoT for Forest Condition Monitoring and Environmental Analysis

Abstract

Forest monitoring is essential for environmental conservation and resource management, addressing deforestation, climate change, illegal activities, and natural disasters. This book chapter explores the application of remote sensing technology and the Internet of Things (IoT) for accurate, efficient, and sustainable forest condition monitoring. Remote sensing technologies, such as Landsat, MODIS, and Sentinel, track land cover changes, vegetation health, and illegal activities, while vegetation indices like NDVI and EVI assess ecosystem conditions. IoT technology, with real-time sensors measuring temperature, humidity, soil moisture, and air quality, provides continuous data for early risk detection. This integrated approach combines large-scale data collection with real-time analysis, empowering stakehold-ers to address forest challenges effectively. The integration of IoT with Geographic Information Systems (GIS) enhances spatial analysis, supporting informed decision-making for forest conservation. By adopting these innovations, forest ecosystems can be better preserved, ensuring sustainability and resilience against environmental threats.