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 APIs

Decision Outputs

01

Urban heat and surface temperature diagnostics

02

Resilience composite score

03

Exposure and vulnerability overlays

04

Adaptation priority zones

Workflow

01

Step 1

Combine satellite diagnostics with infrastructure and population attributes.

02

Step 2

Normalize indicators into transparent scoring dimensions.

03

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 docs

Google Earth Engine

Cloud-scale public geospatial datasets, satellite imagery, population rasters, and time-series analysis.

Optional live mode after Earth Engine authentication. Open docs

Leaflet + Leaflet Draw

Interactive AOI drawing, map inspection, layer controls, and user-facing spatial workflows.

Enabled in the browser UI. Open docs

Chart.js

Time-series, indicator, and demographic charts for decision dashboards.

Enabled in the browser UI. Open docs