Urban Data Mining
Advanced data mining and spatial analytics to extract multidimensional urban patterns from big geospatial datasets.
Research Areas & Thrusts
Leading academic research in Urban Data Mining, Satellite Data Analysis, Land Use Land Cover (LULC), Machine Learning, Deep Learning, and Urban Flood & Disaster Resilience at IIT Kharagpur.
Areas of Investigation
Advanced data mining and spatial analytics to extract multidimensional urban patterns from big geospatial datasets.
Pattern recognition algorithms and soft computing to analyze urban morphology, growth corridors, and spatial configuration.
Assessing Surface Urban Heat Island (SUHI) intensity and microclimate variability using thermal remote sensing.
Applying supervised and unsupervised machine learning algorithms for high-accuracy LULC classification and transition modeling.
Automated satellite imagery classification pipelines assessing long-term climate vulnerability and land transformation.
Extracting building footprints, road networks, and urban infrastructure from high-resolution satellite and aerial data.
High-resolution Unmanned Aerial Vehicle (UAV) / Drone data processing for localized infrastructure audit and terrain mapping.
Developing automatic classifiers using Night-Time Lights (NTL) satellite data to track electrification, economic activity, and urbanisation.
Spectroscopy and hyperspectral band analytics for urban material characterization and environmental monitoring.
Ecosystem valuation, natural capital accounting, and sustainability frameworks for regional and urban planning.
Deep neural networks and convolutional models for predicting urban stress, resilience indices, and dynamic pattern shifts.
Flood vulnerability modeling, coastal inundation risk assessment, and prioritizing critical emergency infrastructure.