Estimating air temperature profiles in forest canopy using empirical models and Landsat data
Date of Original Version
The objective of this study was to characterize and predict the air-temperature profiles in forest canopy using empirical models and Landsat-7 Enhanced Thematic Mapper Plus (ETM +) thermal infrared (TIR) data. For each hour of the day, empirical models were developed using the air temperatures measured in a mixed forest in Tolland, Connecticut during the summer of 2001. Air-temperature profiles measured on eight randomly selected days over the study period were used to evaluate the models' performance. The results show high agreement between model-predicted temperatures and field observations (R 2 = 0.96 and RMSE = 0.5°C). Forest canopy-surface temperature was estimated from Landsat ETM+ TIR data and then applied on the empirical model at 10:30 to predict air temperatures below the forest canopy. Compared with field-measured air temperatures on the same day, good agreement (R2 = 0.80 and RMSE = 0.7°C) was obtained between predicted and observed air-temperature profile in this mixed forest. This study implies that Landsat TIR data combined with empirical models have the potential to characterize and further predict the air-temperature profile in forest canopies. Copyright © 2007 by the Society of American Foresters.
Publication Title, e.g., Journal
Yang, Jiansheng, Yeqiao Wang, and David R. Miller. "Estimating air temperature profiles in forest canopy using empirical models and Landsat data." Forest Science 53, 1 (2007). https://digitalcommons.uri.edu/nrs_facpubs/896