Infrared Sensors for Monitoring Forest Canopy Temperature

Track microclimate shifts and heat stress in forest canopies with Enviro Forest’s advanced thermal infrared monitoring solutions.

Precision Infrared Monitoring for Smarter Forest Management

Enviro Forest’s Forest Canopy Temperature Infrared Sensors are designed for precise, non-contact temperature measurement of forest canopies, offering essential data for ecological research, wildfire prediction, and climate impact studies. These sensors provide high-frequency thermal readings that reflect forest health and physiological stress in real-time. Whether deployed in remote forest regions or integrated into broader atmospheric monitoring stations, our systems ensure accurate temperature data collection under a variety of environmental conditions. Leveraging advanced infrared technology and seamless cloud connectivity, we help organizations monitor subtle thermal shifts and enhance decision-making in conservation and land management efforts.

Core Components

01

Hardware

Thermal infrared sensors

Optical & Imaging Sensors for foliage heat monitoring in fire risk analysis. 

All-weather housing

Z-Wave Accessories for durable sensor protection in extreme forest climates. 

Mounting kits

IoT Accessories for stable canopy-level installation in risk-zoned forest areas. 

GPS & orientation modules

GPS IoT Trackers/Devices for spatially referenced temperature data.

02

Software

  • Real-time temperature mapping and data logging 
  • Adjustable sampling intervals and spatial averaging tools 
  • Alarm triggers based on user-defined canopy heat thresholds 
  • Multi-sensor synchronization capabilities for large area coverage 
03

Cloud Service

  • Encrypted cloud storage and remote configuration access 
  • Visual analytics platform with heat mapping overlays 
  • Historical data comparison and anomaly detection 
  • API for third-party tool integration and data export
  • Non-Invasive Measurement: No physical contact with vegetation 
  • High Temporal Resolution: Detects rapid canopy temperature fluctuations 
  • All-Weather Accuracy: Compensation algorithms for humidity, wind, and solar radiation 
  • Real-Time Alerts: Immediate notification of critical heat stress conditions 
  • Wide Coverage: Supports fixed-point, tower-based, and mobile (UAV) deployments
  • Integrates with Enviro Forest’s Eddy Covariance Flux Towers and weather stations 
  • Compatible with GAO RFID tracking technologies for coordinated ecosystem analysis 
  • Connects to cloud-based SCADA, GIS, and environmental data management platforms 
  • Operates within established LoRaWAN, LTE-M, and satellite IoT networks
  • Improves drought stress detection in sensitive forest regions 
  • Enhances modeling of forest carbon and water exchange processes 
  • Assists in early wildfire detection through abnormal canopy heat signatures 
  • Reduces risk of forest degradation through proactive intervention 
  • Offers reliable long-term environmental intelligence for climate adaptation planning
  • Forest heat stress and drought response analysis 
  • Early wildfire monitoring and detection 
  • Ecosystem productivity and transpiration modeling 
  • Remote forest management and conservation research 
  • Urban forest health assessments
  • Forestry and Natural Resource Agencies 
  • Climate Research Institutions 
  • Environmental Monitoring Networks 
  • Agricultural & Silvicultural Operations 
  • Academic and Nonprofit Research Groups 
  • Government Land & Wildlife Agencies
  • U.S. Forest Service Remote Sensing and Forest Health Guidelines 
  • ASTM E1934 – Standard Guide for Evaluating Infrared Temperature Measurement Instruments 
  • U.S. National Wildfire Coordinating Group (NWCG) Remote Sensing Protocols 
  • Canadian Forest Service (CFS) Remote Monitoring Framework 
  • CSA/ISO 16000 – Canadian Air Quality and Thermal Measurement Standards 

Case Studies

case study

Oregon, USA – Wildfire Precursor Detection in Ponderosa Pine Forests

In collaboration with a wildfire risk mitigation project, Enviro Forest infrared sensors were installed to detect early-stage canopy heating. The system successfully identified thermal anomalies days before fire ignition, enabling proactive resource deployment. 

case study

Florida, USA – Mangrove Canopy Heat Dynamics Research

Partnering with a coastal university, our systems helped researchers analyze heat absorption patterns in subtropical mangrove forests, providing crucial data on species adaptation to rising temperatures and sea-level-induced stress. 

case study

Alberta, Canada – Boreal Forest Climate Sensitivity Study

Enviro Forest worked with a Canadian federal research group to install canopy temperature sensors across boreal sites. This long-term deployment helped evaluate how canopy temperature correlates with carbon flux variations in northern climates.

Interested in enhancing your forest climate monitoring efforts? Let Enviro Forest help.

Whether you’re deploying one sensor or hundreds, we’re ready to support your goals with expert guidance and custom solutions.