PROBLEM

  • Current maps are too coarse (250–1000 m scale). Cities map heat islands at city scale, missing micro-scale variations
  • People experience heat at the street scale. Narrow streets and dense blocks can be several degrees hotter, unseen by satellites.
  • Street-level temperatures vary by 5–12°C inside the same block, making coarse UHI maps insufficient for adaptation.
  • Cities do not have accessible, scalable, and regularly updated Street-level heat maps that can guide where to plant trees, add shade, or protect vulnerable groups.

SOLUTION

COMPETITION

  • Satellites are coarse and miss street-level variation.
  • Fixed sensors are accurate but expensive and not scalable.
  • Consulting studies are slow, costly, and not repeatable.

BUSINESS MODEL

  • City climate adaptation teams → need micro-scale heat data for shading, cooling, tree placement
  • Urban resilience offices → must justify adaptation budgets with local-scale evidence
  • Public-health departments → require heat-risk visibility for vulnerable groups

  • Per-project mapping fee → one-time micro-scale heat-risk mapping for a district/city
  • Annual update subscription → yearly re-mapping to track changes & maintain up-to-date risk layers
  • Sensor integration add-on → cities that want their own fleet get installation + calibration support
Expert Interviews
  • 4 climate-adaptation and urban-environment experts
  • All confirmed a data gap at the street-level scale

Key Insight

  • Traditional UHI maps miss 5–12°C micro-scale variations, this directly affects shading, tree placement and cooling strategies.

Municipality Feedback

  • One adaptation team expressed interest in using mobile heat-risk layers
  •  Validation that cities lack fine-grained data for prioritising interventions

TEAM

FUNDING NEED

  • Sensors + calibration
  • Field operators (bike/scooter runs)
  • Data processing (cloud + advisory)
  • 1 complete district-scale heat-risk map
  • Public-facing pilot summary

This is the minimum budget required

to validate the sensing workflow, map

delivery pipeline, and 1-week turnaround

model.

  • Validated sensing methodology
  • Standardized “1-week map package”
  • Testimonials + early metrics
  • Basis for annual subscription model
  • Clear cost structure for scale-up

CALL TO ACTION