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Building intelligent systems that fuse satellite imagery, sensor data, and AI to understand infrastructure, movement, environment, and spatial behaviour — from India to the world.
Flagship Framework · Raipur, Chhattisgarh
GUNIF is a five-stage modular GeoAI pipeline that integrates multi-temporal LULC, biophysical remote sensing indices (NDVI, NDWI, NDBI), land surface temperature, SUHI mapping, road networks, and CPCB air quality data into a single spatial intelligence architecture — producing the Urban Stress Index (USI) for evidence-based urban planning.
Five-Stage Modular Pipeline
ESRI LULC 10m, Landsat 8, OSM networks, WorldPop, CPCB — exclusively open datasets for global transferability.
NDVI, NDBI, NDWI, LST retrieval, SUHI zoning, PM₂.₅ IDW interpolation across 512 harmonized 1 km grid cells.
Getis-Ord Gi* hotspots, Global Moran's I, LISA clustering, OLS diagnostics, and GWR with adaptive bi-square kernel.
PCA-weighted UI, equal-weight ESI, MSPA-derived EBI — all min-max normalized and synthesized into the composite USI.
Risk & vulnerability mapping, double-burden zone identification, actionable planning intelligence for Tier-2 cities globally.
Key Findings · Raipur Urban Agglomeration
Live Intelligence Feed
Space science dispatches, live Earth events, and geospatial discoveries — curated in real-time from NASA, USGS, and global space newsrooms.
Core Domains
Multi-temporal satellite imagery analysis, SAR processing, and spectral decomposition for land-cover mapping and change detection.
Deep learning pipelines for spatial feature extraction, object detection in aerial imagery, and geospatial foundation models.
Advanced geostatistics, spatial econometrics, and scalable vector/raster workflows with GeoPandas, GDAL, and PostGIS.
GPS trajectory mining, urban mobility modelling, transport network analysis, and traffic pattern forecasting at city scale.
Climate & environmental data pipelines from ERA5, MODIS, Sentinel — fused with ML for environmental intelligence.
Precise point positioning, multi-GNSS processing, and real-time kinematic workflows for centimetre-level accuracy.
Peer-Reviewed Work
Real-Time IoT-Based Connected Vehicle Infrastructure for Intelligent Transportation Safety
Advanced Transportation Safety Using Real-Time GIS-Based Alarming System for Animal-Prone Zones and Pothole Areas
Cost Reduction for Advanced Driver Assistance Systems Through Hardware Downscaling and Deep Learning
SMARTS: Sustainable Management and Agriculture Resource Technology System Using Remote Sensing Descriptors and IoT
Hazardous Zone Identification by Spectral Analysis of Ground Penetrating Radar Response
Adaptive Fuzzy Logic for Gap Filling in UAV Orthomosaics
Spatial Analysis and Classification of Land Use Patterns in Lucknow Using GIS and Random Forest
Predictive Modeling of Land Cover Changes in Round-1 Smart Cities of India Using Cellular Automata and GIS
Satellite-Driven Assessment of Urban Pollution Susceptibility in West Bengal, India
About
Spatial Mind is a research-driven platform at the intersection of geospatial science, machine learning, and Earth observation. Rooted at IIT Roorkee — India's foremost civil engineering and spatial technology institution — we build tools and knowledge that matter at scale.
Our work spans precision positioning, satellite analytics, mobility intelligence, and AI-driven terrain understanding. We collaborate globally while staying anchored in India's rich geospatial landscape.
Get In Touch
Open to collaborations in GeoAI, remote sensing research, spatial data consultancy, and intelligent mobility systems.