Low cost sensory modeling approach for environmental monitoring and sustainability

Modern climate change is mainly caused by human activities, which have become more important than natural factors. This has led to environmental problems. To address these issues, we need better ways to monitor the environment. While remote sensing technologies like Lidar and InSar can help, they are expensive and not suitable for large areas. The rise of the Internet of Things, better sensors, and crowdsourcing offers a cost-effective way to monitor the environment. This study focuses on developing a new approach that uses inexpensive sensors and collective data gathering to reduce monitoring costs. It also includes a smart parking system to reduce traffic congestion and improve urban living.