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Use case · Climate

Heat island effect measurement

Dense, green-poor districts run hotter. Measure the urban heat island and target greening where it matters most.

Dense urban district in summer

Heat and air quality, mapped together

Densely built, green-poor districts run measurably hotter than their surroundings. Urban heat islands raise health risks for vulnerable residents, drive up cooling demand and accelerate ground-level ozone formation.

Because every unit measures temperature, humidity and pressure alongside pollutants, one network maps heat and air quality together, showing where green infrastructure investment matters most.

  • District-by-district temperature mapping identifies the hottest, most exposed neighbourhoods.
  • Combined heat and ozone data supports heat-wave response plans for sensitive groups.
  • Before-and-after measurement verifies the effect of greening and shading projects.
How we handle it

The solution we provide

The same network that monitors your city's air measures its heat: every Unit L records temperature, humidity and pressure alongside pollutants, at street level and in real time. Lens maps heat and ozone together, district by district, through summer.

That gives planners a ranked view of the hottest, most exposed neighbourhoods to target with greening and shading, and a before-and-after record that shows whether each intervention worked.

In this deployment
  • Unit L with meteorology: temperature, humidity, pressure
  • Anemometer add-ons for wind speed and direction
  • Airqoon Lens mapping heat and air quality on one view
  • Data export & API for climate adaptation planning tools
Example references

Kadıköy

8 monitoring points deployed within an EU climate adaptation project, measuring heat and air quality together in one of İstanbul's densest districts.

MELTEM research programme

With Boğaziçi University and the University of Crete, the same units support research on how climate and air quality interact.

Plan green infrastructure with real data.