Implementation and Assessment of Remote Sensing Technologies for Environmental Protection and Disaster Management

Abstract

Remote sensing technologies have transformed environmental protection and disaster management through their ability to provide timely, accurate, and large-scale observations. These technologies enable rapid detection of environmental degradation, early warnings for natural disasters, and continuous monitoring of vulnerable regions. This study investigates the implementation, performance, and comparative assessment of modern remote sensing systems—including satellite imagery, UAV-based sensing, multispectral and hyperspectral monitoring, and thermal observations—for effective environmental
and disaster-response applications. A multi method analytical framework evaluates spatial resolution, temporal coverage, sensor sensitivity, and data-processing efficiency across different platforms. Case-study simulations demonstrate that integrated Earth-observation systems significantly improve prediction accuracy for floods, landslides, forest fires, and pollution dispersion. Results show that remote-sensing-enhanced response strategies reduce assessment delays by up to 45% and improve environmental-damage estimation by over 30% when combined with GIS-based analysis. The findings highlight the critical role of integrated remote-sensing systems in strengthening modern environmental management and disaster-risk-reduction mechanisms.