Abstract ID: 3.10136 | Accepted as Poster | Poster | TBA | TBA

Air pollution, particularly from sulfur dioxide (SO₂) has significant environmental implications, influencing both atmospheric quality and terrestrial ecosystems. This study employs online based platform of Google Earth Engine (GEE) for geospatial analysis to monitor SO₂ concentrations in the Halwani Himalayan Tarai Regions and assess their impact on land dynamics. This research analyses spatial and temporal variations in pollutant levels and their correlations with vegetation health and land cover changes. The Halwani Himalayan Tarai Regions, known for its varied topography and climatic diversity, is experiencing rising anthropogenic emissions due to urban expansion, biomass combustion, and industrial activities. These pollutants contribute to atmospheric deposition, causing soil acidification and stress on vegetation. Consequently, these environmental changes disturb the local ecological equilibrium, potentially impacting biodiversity and ecosystem stability. by integrating satellite-derived datasets, machine learning algorithms, and remote sensing data-derived band indices. such as the Normalized Difference Vegetation Index (NDVI). GEE provide an efficient framework for large-scale monitoring of natural resources dynamics and their environmental interactions. The study utilizes multi-temporal satellite imagery from Sentinel-5P TROPOMI, and Sentinel-2a processed within the GEE cloud-computing platform to extract pollutant trends and their interactions with land surface dynamics. Findings indicate a strong seasonal dependency of SO₂ concentrations, with higher levels observed during winter due to temperature inversion effects, and a notable reduction in NDVI values corresponding to peak pollution events. This research provides critical insights into atmospheric-terrestrial interactions, emphasizing the need for continuous geospatial monitoring of air pollutants in ecologically sensitive regions. Integrating machine learning in pollution assessment enhances predictive capabilities, aiding policymakers in designing mitigation strategies to minimize the environmental consequences of anthropogenic emissions in the Halwani Himalayan Tarai Regions.