Abstract
Temperature is a key control over biological activities from the cellular to the ecosystem scales. However, direct, high precision measurements of surface temperature of small objects such as leaves under field conditions with large variations in ambient conditions remain rare. Contact methods such as thermocouples are prone to large errors. The use of non-contact remote sensing methods such as thermal infrared measurements provides an ideal solution, but their accuracy has been low (in the order of ~2 °C) due to necessity for corrections for material emissivity and fluctuations in background radiation (Lbg).
A novel ‘dual-reference’ method was developed to increase the accuracy of infrared needle-leaf surface temperature measurements in the field. It accounts for variations in Lbg and corrects for the systematic camera offset using two reference plates.
We accurately captured surface temperature and leaf-to-air temperature differences of needle-leaves in a forest ecosystem with large diurnal and seasonal temperature fluctuations with an uncertainty of ±0.23 and ±0.25 °C, respectively.
Routine high precision leaf temperature measurements even under harsh field conditions, such as demonstrated here, opens the way for investigating a wide range of leaf-scale processes and its dynamics.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
Nomenclature
- σ
- Stefan-Boltzman constant
- τ
- Transmissivity of the air column
- ε
- Emissivity
- a, b
- slope, intercept
- L
- Thermal radiant flux
- air
- Air column between object and IR camera
- ap
- Apparent, infrared, temperature
- bg
- Thermal background radiant flux
- camera
- Camera-received radiation
- cor
- Corrected, i.e. after calibration
- emiss
- Emissive plate (∊emiss ≈ 1)
- ir
- Infrared
- obj
- Measured object of interest
- refl
- Reflective plate (∊refl ≈ 0)