Urban Climate Adaptation
Identify urban heat islands and recommend green infrastructure using high-resolution thermal imaging and AI-driven spatial analysis.
Key Features
Heat Island Detection
Map urban heat islands at street-level resolution using Landsat-8 thermal bands and AI classification.
Green Infrastructure Planning
AI recommends optimal locations for parks, green roofs, and urban forests to maximize cooling effects.
Climate Risk Assessment
Comprehensive vulnerability mapping combining thermal, demographic, and infrastructure data layers.
How It Works
Thermal Imaging Capture
Landsat-8 thermal infrared bands capture surface temperature data across urban areas at regular intervals.
AI Heat Mapping
Deep learning models fuse thermal, optical, and land-use data to produce high-resolution urban heat maps.
Vulnerability Analysis
Spatial models overlay heat data with population density, age demographics, and access to cooling infrastructure.
Adaptation Recommendations
AI generates prioritized green infrastructure proposals with projected cooling impact and cost-benefit analysis.
Our Impact
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