Estimating air temperature profiles in forest canopy using empirical models and Landsat data
Document Type
Article
Date of Original Version
2-1-2007
Abstract
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
Forest Science
Volume
53
Issue
1
Citation/Publisher Attribution
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
