Urban heat and surface temperature diagnostics
Domain / Urban Resilience
Climate resilience scoring for neighborhoods and infrastructure corridors
Translate heat, land cover, flood exposure, vulnerability, and service access into planning-grade resilience indicators.
Run Related APIsDecision Outputs
Resilience composite score
Exposure and vulnerability overlays
Adaptation priority zones
Workflow
Step 1
Combine satellite diagnostics with infrastructure and population attributes.
Step 2
Normalize indicators into transparent scoring dimensions.
Step 3
Compare resilience scenarios for planning and investment decisions.
GeoAI Toolchain
Recommended AI and geospatial tools for turning this model into a production-grade Nita AI module.
GeoAI / OpenGEOAI
Geospatial AI model training, segmentation, object detection, inference, and imagery workflows.
Optional runtime integration through geoai-py; the site reports availability when installed. Open docsGoogle Earth Engine
Cloud-scale public geospatial datasets, satellite imagery, population rasters, and time-series analysis.
Optional live mode after Earth Engine authentication. Open docsLeaflet + Leaflet Draw
Interactive AOI drawing, map inspection, layer controls, and user-facing spatial workflows.
Enabled in the browser UI. Open docsChart.js
Time-series, indicator, and demographic charts for decision dashboards.
Enabled in the browser UI. Open docs