REMOTE SENSING AND GIS-BASED COMPUTATIONAL ANALYSIS OF CLIMATE CHANGE IMPACTS IN THE COASTAL REGION OF THOOTHUKUDI DISTRICT, TAMIL NADU
DOI: https://doi.org/10.65725/JCISE/1/2/008
JOURNAL OF COMPUTATIONAL INTELLIGENCE SCIENCE AND ENGINEERING (JCISE)
ISSN: 3107-8168
Volume 1 Issue 2, October 2025
Abstract
Climate change poses significant threats to coastal ecosystems, infrastructure, and livelihoods, particularly in vulnerable regions such as the coastal areas of Thoothukudi District, Tamil Nadu, India. This study presents a Remote Sensing and GIS-based computational analysis to assess the spatial and temporal impacts of climate change along the coastal region of Thoothukudi. Multitemporal satellite imagery and geospatial datasets were utilized to examine key climate-induced
parameters, including shoreline change, land use and land cover (LULC) dynamics, sea surface temperature variations, and coastal erosion patterns. Advanced image processing techniques and GISbased spatial analysis were employed to extract, classify, and quantify changes over multiple time periods.
The computational framework integrates change detection algorithms, spatial overlay analysis, and statistical modeling to evaluate long-term environmental transformations and vulnerability hotspots. The results reveal significant alterations in coastal morphology, increased shoreline retreat in select zones, and notable shifts in land use patterns attributed to climate variability and anthropogenic activities. The study further demonstrates the effectiveness of geospatial technologies in providing accurate, scalable, and data-driven insights for coastal monitoring and climate impact assessment.
This research highlights the importance of integrating Remote Sensing, GIS, and computational analysis for evidence-based coastal management, climate adaptation planning, and sustainable development. The proposed approach can be extended to other coastal regions to support decision-making and early warning systems under changing climatic conditions.
Authors: Dr. S. Kumar
Keywords: Remote Sensing; Geographic Information System (GIS); Climate Change; Coastal Vulnerability; Shoreline Change Analysis; Land Use and Land Cover (LULC); Thoothukudi District; Computational Analysis.
