DrSrikanta Sannigrahi

My research broadly covers: (1) Advancing GeoAI and geocomputation within spatial data science for urban environmental insights. Focus on innovative spatial analytical methodologies for quantifying the benefits of nature for promoting sustainability and climate neutrality; (2) Utilizing urban analytics for sustainable urban development. Emphasis on data-driven urban dynamics, living space optimization, and sustainability improvements; (3) Implementing nature-based solutions for urban resilience. Targets climate adaptation, biodiversity, and environmental sustainability through natural process integration in urban design; (4) Innovating with remote sensing and GIS for environmental and urban management. Focuses on environmental monitoring, analysis, and modeling for informed decision-making; (5) Empowering voluntary GIS and citizen science for enriched data and community engagement. Enhances environmental solutions through volunteer data collection and scientific participation; (6) Merging geostatistics with machine learning for spatial data insights. Aims at spatial pattern recognition and outcome prediction through advanced statistical and computational models.