Integration of Remote Sensing and Geotechnical Engineering Approaches for Sustainable Environmental Monitoring

Abstract

Remote sensing, environmental science, and geotechnical engineering have increasingly converged to address modern challenges related to land degradation, urbanization, natural hazards, and environmental sustainability. The combination of high-resolution satellite imagery, GIS platforms, and in situ geotechnical data provides unparalleled opportunities to monitor land subsidence, slope stability, groundwater contamination, soil moisture, and deforestation impacts. This study explores the integration of geotechnical parameters such as soil strength, porosity, and permeability with remotely sensed data to provide accurate environmental assessments. It emphasizes how geotechnical engineering models, when coupled with multi-spectral and hyperspectral imaging, improve the prediction of erosion risks, landslides, and groundwater dynamics. The paper further highlights the role of advanced remote sensing tools such as LiDAR, UAV-based imaging, and Synthetic Aperture Radar (SAR) in analyzing terrain variations, while also considering the environmental science perspective on ecosystem preservation, air quality monitoring, and soil contamination assessment. The outcomes reveal that interdisciplinary methodologies are not only more reliable in hazard prediction but also promote sustainability by enabling proactive planning in urban expansion, resource management, and disaster mitigation. This integrative approach is therefore essential in creating resilient infrastructures, mitigating environmental degradation, and safeguarding natural ecosystems against anthropogenic and climatic threats.

KEYWORDS: Remote Sensing, Geotechnical Engineering, Environmental Sustainability, Hazard Prediction, GIS