In today's world, urban heat islands have become a growing challenge in cities worldwide. Dense infrastructure, limited green spaces, and human activity cause urban areas to retain more heat than surrounding regions. This leads to higher temperatures, reduced outdoor comfort, increased energy demand, and elevated health risks during heat waves. Our advanced IoT sensors for urban heat islands provide real time insights into local climate conditions across the city. This enables municipalities, planners, and researchers to better understand heat patterns and implement effective mitigation strategies.
Our IoT sensors measure critical environmental parameters that help identify, analyze, and manage urban heat accumulation.
Temperature
Air temperature measurements reveal localized heat buildup across streets, neighborhoods, and urban zones. This data is essential for identifying heat hotspots and assessing the effectiveness of cooling strategies.
Relative Humidity
Humidity influences perceived heat stress and thermal comfort. Monitoring relative humidity helps evaluate the combined impact of temperature and moisture on human well being.
Horizontal Wind Speed
Wind speed affects heat dispersion and cooling potential in urban environments. Measuring horizontal wind speed provides insight into airflow patterns between buildings and open spaces.
Wind Gust
Wind gust data captures short term airflow variations that influence ventilation and localized cooling effects in dense urban areas.
Wind Direction
Wind direction measurements help map airflow paths through the city. This supports urban design decisions aimed at improving natural ventilation and reducing heat accumulation.
Radiant Temperature
Radiant temperature reflects the heat emitted from surfaces such as roads, buildings, and pavements. High radiant temperatures significantly contribute to heat stress and reduced outdoor comfort.
Tilt
Tilt measurements ensure accurate sensor alignment and data reliability. They are particularly important for maintaining precise environmental measurements in outdoor urban installations.
Black Globe Radiant Temperature Operating principle: Thermistor inside black hollow sphere Measurement Range: From -5 to 95 °C Temperature survival Range: From -50 to 100 °C Emissivity (emittance) : 0.957 Accuracy: ±0.3 °C at T = -3 to 90 °C ±0.7 °C at T = -5 to 95 °C Length cable: 3m LoRaWAN® class A 2 C alkaline batteries
Temperature Range: From -40 to +125 °C Resolution: 0.01 °C Accuracy: ±0.1 °C from 20 to 60 °C, ±0.2 °C from -40 to 90 °C Relative Humidity Range: From 0 to 100% RH Resolution: 0.01% RH Accuracy: ±1.5% RH from 0 to 80% RH, ±2% RH from 80 to 100% RH Radiation Shield Basic radiation shield Passive ventilation Accuracy: not specified LoRaWAN® class A 2 C alkaline batteries
Horizontal Wind Speed Range: From 0 to 30 m/s Resolution: 0.01 m/s Accuracy: the greater of 0.3 m/s or 3% of measurement Wind Gust Range: From 0 to 30 m/s Resolution: 0.01 m/s Accuracy: the greater of 0.3 m/s or 3% of measurement Wind Direction Range: From 0 to 359° Resolution: 1° Accuracy: ±5° Tilt Range: From -90° to +90° Resolution: 0.1° Accuracy: ±1° Temperature Range: From -50 to +60 °C Resolution: 0.1 °C Accuracy: ±0.6 °C, not protected from solar radiation Length cable: 5m LoRaWAN® class A 2 C alkaline batteries
Solar Radiation Range: From 0 to 1'750 W/m² Resolution: 1 W/m² Accuracy: ±5% of measurement typical Precipitation Range: From 0 to 400 mm/h Resolution: 0.017 mm Accuracy: ±5% of measurement from 0 to 50 mm/h Vapor Pressure Range: From 0 to 47 kPa Resolution: 0.01 kPa Accuracy: ±0.2 kPa typical below 40 °C Relative Humidity Range: From 0 to 100% RH Resolution: 0.1% RH Accuracy: ±3% RH typical Air Temperature Range: From -50 to +60 °C Resolution: 0.1 °C Accuracy: ±0.6 °C Barometric Pressure Range: From 50 to 110 kPa Resolution: 0.01 kPa Accuracy: ±0.1 kPa from -10 to 50 °C, ±0.5 kPa from -40 to 60 °C Horizontal Wind Speed Range: From 0 to 30 m/s Resolution: 0.01 m/s Accuracy: the greater of 0.3 m/s or 3% of measurement Wind Gust Range: From 0 to 30 m/s Resolution: 0.01 m/s Accuracy: the greater of 0.3 m/s or 3% of measurement Wind Direction Range: From 0 to 359° Resolution: 1° Accuracy: ±5° Tilt Range: From -90° to +90° Resolution: 0.1° Accuracy: ±1° Lightning Strike Count Range: From 0 to 65'535 strikes Resolution: 1 strike Accuracy: variable with distance, >25% detection at <10km typical Lightning Avarage Distance Range: From 0 to 40 km Resolution: 3 km Accuracy: variable Length cable: 5m LoRaWAN® class A 2 C alkaline batteries
Improved Heat Risk Assessment
High resolution climate data enables cities to identify vulnerable areas and populations exposed to extreme heat.
Better Urban Planning and Design
Accurate insights support data driven decisions for green infrastructure, reflective materials, and urban layout improvements.
Enhanced Public Health and Safety
Early detection of extreme heat conditions allows for timely warnings and targeted heat mitigation measures.
Reduced Energy Demand
Understanding heat distribution helps optimize cooling strategies and reduce peak energy consumption during hot periods.
Support for Climate Resilience Strategies
Continuous monitoring provides the data foundation needed for long term climate adaptation and resilience planning.
Evidence Based Policy Making
Reliable sensor data supports informed policy decisions and helps measure the effectiveness of urban heat reduction initiatives.
By monitoring temperature, humidity, wind behavior, and radiant heat, cities gain a comprehensive understanding of urban microclimates. This enables targeted interventions such as increased shading, vegetation, and improved airflow corridors, resulting in cooler, healthier, and more livable urban environments.
Understanding urban heat starts with accurate measurement. Monitor local climate conditions and build cooler, more resilient cities.
