: 10.62796/pijst
Remote Sensing for Monitoring Natural Disastersand Earthquakes
Dr. N. Perera, Earth Sciences, Ruhuna Valley College of Applied Studies, Matara, Sri Lanka
Published Date: 04-12-2024 Issue: Vol. 1 No. 12 (2024): December 2024 Published Paper PDF: Download
Abstract- Natural disasters such as earthquakes, floods, landslides, hurricanes, and wildfires pose serious threats to human lives, infrastructure, and the environment. Effective monitoring is essential for disaster preparedness, risk reduction, and recovery planning. Remote sensing has emerged as a vital tool in this context due to its ability to provide timely, wide-scale, and multi-sensor observations. Satellite-based techniques, particularly Synthetic Aperture Radar (SAR), enable detection of seismic ground deformation, rapid damage mapping, and flood extent delineation under all-weather conditions. Aerial platforms, including UAVs, complement satellite data by supplying ultra-high-resolution imagery for detailed post-disaster assessment, while ground-based systems such as LiDAR and photogrammetry deliver precise local measurements. The integration of these approaches enhances disaster monitoring capabilities and mitigates limitations inherent to individual platforms. Applications extend beyond earthquake monitoring to include flood forecasting, wildfire mapping, landslide susceptibility analysis, and hurricane track prediction. Emerging technologies such as machine learning and artificial intelligence further improve the interpretation of remote sensing datasets, supporting early warning systems and real-time decision-making. This paper highlights the importance of combining satellite, aerial, and ground-based remote sensing techniques to strengthen disaster management strategies and foster global resilience against natural hazards. Keywords: Remote Sensing, Natural Disasters, Earthquake Monitoring, Flood Mapping, Synthetic Aperture Radar (SAR), Disaster Management.
Published Date: 04-12-2024 Issue: Vol. 1 No. 12 (2024): December 2024 Published Paper PDF: Download
Abstract- Natural disasters such as earthquakes, floods, landslides, hurricanes, and wildfires pose serious threats to human lives, infrastructure, and the environment. Effective monitoring is essential for disaster preparedness, risk reduction, and recovery planning. Remote sensing has emerged as a vital tool in this context due to its ability to provide timely, wide-scale, and multi-sensor observations. Satellite-based techniques, particularly Synthetic Aperture Radar (SAR), enable detection of seismic ground deformation, rapid damage mapping, and flood extent delineation under all-weather conditions. Aerial platforms, including UAVs, complement satellite data by supplying ultra-high-resolution imagery for detailed post-disaster assessment, while ground-based systems such as LiDAR and photogrammetry deliver precise local measurements. The integration of these approaches enhances disaster monitoring capabilities and mitigates limitations inherent to individual platforms. Applications extend beyond earthquake monitoring to include flood forecasting, wildfire mapping, landslide susceptibility analysis, and hurricane track prediction. Emerging technologies such as machine learning and artificial intelligence further improve the interpretation of remote sensing datasets, supporting early warning systems and real-time decision-making. This paper highlights the importance of combining satellite, aerial, and ground-based remote sensing techniques to strengthen disaster management strategies and foster global resilience against natural hazards. Keywords: Remote Sensing, Natural Disasters, Earthquake Monitoring, Flood Mapping, Synthetic Aperture Radar (SAR), Disaster Management.
