TerraXUrban

Real-time Digital Twins and spatial intelligence for next-generation of safety and resilience in Smart Cities & Urban Planning

Urban Digital Twin Intelligence

TerraXUrban powered by TerraXai Platform transforms cities with Remote Sensing, GIS, and Digital Twin technologies. From interactive 3D city models and scenario simulations to traffic optimization, green space monitoring, and energy management, our solutions turn complex urban data into actionable insights. Planners, developers, and decision-makers can visualize growth, test ideas, and create smarter, more sustainable, and future-ready communities, making every city a place where people and innovation thrive

Featured Applications

3D Digital City Model for Urban Sustainability

TerraXUrban creates and operates the 3D Digital City Model enabling a series of Smart City applications including but not limited to real-time monitoring & visualization, running what-if simulation & planning, performing predictive maintenance & forecasting, implementing operational optimization along with establishing collaboration, stakeholder engagement & decision support. The key features include:

  • AI-Driven Modeling: Cutting-edge AI and geospatial models for precise and dynamic simulation
  • Cloud-Native Architecture: Scalable and real-time solutions
  • Multi-Source Data Fusion: Combines satellite, IoT, drone, and in-situ data for a richer DT
  • Action-Oriented Insights: Interactive dashboards and decision-support tools tailored to clients’ needs

Snowfall, Rainfall, Flooding, and Sealevel rise Simulations

TerraXUrban runs snowfall and rainfall simulation powered by remote sensing and artificial intelligence enabling municipalities to anticipate weather impacts and manage resources more effectively. By integrating satellite observations, radar data, terrain models, and historical climate patterns, AI-driven models can forecast the timing, intensity, and spatial distribution of precipitation events with high accuracy. These insights support proactive planning for snow removal, stormwater management, flood prevention, and emergency response. Municipalities can use this information to optimize deployment of crews and equipment, manage drainage and road safety, assess flood-prone zones, and reduce operational costs while improving public safety and service reliability during extreme weather events.

Urban Heat Islands Monitoring

TerraXUrban predicts and monitors urban heat island (UHI) intensity across metropolitan and industrial regions. Our innovative platform combines thermal infrared satellite imagery, land surface data, and urban morphology indicators to identify heat accumulation zones and evaluate their relationship with land cover, built-up density, and green infrastructure.

The results support urban planning, climate adaptation, and cooling strategy development in rapidly growing cities. The thermal analysis is acrried out by using Landsat-8/9 TIRS, ECOSTRESS, and MODIS thermal data to derive land surface temperature (LST) and detect spatial temperature variability across urban zones; Land Cover Classification, by integration of Sentinel-2 multispectral data to map vegetation, impervious surfaces, and water bodies influencing local microclimates; Urban Morphology Modeling, by application of GIS-based metrics such as building density, surface albedo, and height-to-width ratios, to analyze structural drivers of heat concentration; Temporal and Seasonal Assessment, by multi-temporal analysis of LST trends to monitor seasonal UHI dynamics and evaluate the impact of urban greening or surface modification projects; and Heat Vulnerability Mapping, by overlay of temperature anomalies with population density, age distribution, and socio-economic data to identify communities most affected by urban heat stress

Urban Growth Prediction & Monitoring

TerraXUrban predicts and monitors urban expansion, land conversion, and spatial development patterns. By combining multi-temporal satellite imagery with predictive modeling, our system supports smart city planning, infrastructure optimization, and sustainable land management. The key features of the system iuncludes:

  • Use of satellite imagery to track built-up expansion, vegetation loss, and land-use transitions.
  • Application of AI models for accurate sprawl detection.
  • Integration of cellular automata and AI models to simulate future urban growth scenarios.
  • Analysis of population density, road networks, and economic indicators to understand the drivers of urbanization.

Taxi Demand Prediction and Mobility Pattern Analysis

TerraXUrban provides a GIS- and AI-based intelligent demand prediction system that integrates remote sensing, urban data, and real-time analytics to forecast taxi and mobility demand across metropolitan areas. By combining spatial, temporal, and demographic factors, our system identifies high-demand zones, peak periods, and service gaps, helping transport authorities and fleet operators optimize dispatching, reduce congestion, and improve passenger satisfaction. The system key features include:

  • Urban Density and Land Use Analysis: Use Sentinel-2 and nighttime light data to map population density, built-up areas, and commercial activity zones influencing taxi demand.
  • Traffic and Mobility Data Integration: Combine GPS trajectory data, road networks, and real-time traffic flow information to capture dynamic mobility patterns.
  • Temporal and Event-Based Forecasting: Apply machine learning models to analyze temporal demand variations linked to work hours, events, holidays, and weather conditions.
  • Accessibility and Service Gap Mapping: Use GIS-based spatial analysis to identify underserved neighborhoods and high waiting-time areas.
  • Predictive Analytics Dashboard: Deploy an interactive dashboard visualizing demand heat maps, peak-hour forecasts, and route optimization suggestions for operational decision-making.

Similar insights are provided for access to public facilities.

Smart Cities Land Use & Land Cover Mapping

TerraXUrban provides a remote sensing–driven mapping framework that enables accurate and up-to-date classification of land use and land cover (LULC) within rapidly developing urban environments that has been applied cross Canada. By integrating high-resolution satellite imagery, AI-based analytics, and GIS spatial modeling, our solution supports urban planning, infrastructure management, and sustainable city development through data-driven decision-making