Canopy temperatures of selected tree species growing in the forest and outside the forest using aerial thermal infrared (3.6–4.9 µm) data

Studies conducted in recent years have demonstrated high application potential of thermal remote sensing data environmental analyses. The main goal our studies was to determine the variability tree canopy temperatures using a new sensor which acquires still rarely used spectral range (3.6–4.9 μm). This study on five selected species growing forest and outside forest: Alnus glutinosa, Pinus sylvestris, Quercus petraea, rubra Robinia pseudoacacia. Thermal were acquired 9 June 2019, between 8:10 14:00 (CET). findings as follows: i) Trees are average 0.4–0.7°C cooler than trees forest; ii) under differ statistically irrespective acquisition time. petraea with lowest temperatures, sylvestris has highest temperature. showed that biggest variation temperature occurs at noon (12:00–13:00); iii) A 3.6–4.9 μm registers accuracy, supports its usage vegetation studies.