Articles
A new method to estimate sensible heat flux and crop water use from wavelet analysis of semi-high frequency infrared radiometric canopy temperature
Article number
1409_27
Pages
199 – 206
Language
English
Abstract
Growers need reliable and real-time crop water use (ET) and stress data to drive precision irrigation management.
Infrared radiometers have long been used to estimate crop stress indices based on canopy temperatures but do not provide information about water use.
Over the last few years, we have tested whether 1 Hz frequency measurements of infrared radiometric canopy temperature could be used to derive sensible heat flux (H) using a new wavelet analysis method.
The H is then used to calculate ET from the residual energy balance.
This study was conducted over an almond orchard equipped with a whole-tree weighing lysimeter at Parlier, California.
We found that plant canopy temperature traces from almond trees exhibited ramp-like features similar to those observed from air temperature measured above canopies and that ET estimates from the new wavelet method strongly correlate with those derived from eddy covariance, surface renewal, and the weighing lysimeter.
These results suggest a path for more practical and cost-effective ground-based estimations of crop ET based on energy balance approaches and provide potential waypoints for other remote sensing applications and integration into precision irrigation management systems.
Infrared radiometers have long been used to estimate crop stress indices based on canopy temperatures but do not provide information about water use.
Over the last few years, we have tested whether 1 Hz frequency measurements of infrared radiometric canopy temperature could be used to derive sensible heat flux (H) using a new wavelet analysis method.
The H is then used to calculate ET from the residual energy balance.
This study was conducted over an almond orchard equipped with a whole-tree weighing lysimeter at Parlier, California.
We found that plant canopy temperature traces from almond trees exhibited ramp-like features similar to those observed from air temperature measured above canopies and that ET estimates from the new wavelet method strongly correlate with those derived from eddy covariance, surface renewal, and the weighing lysimeter.
These results suggest a path for more practical and cost-effective ground-based estimations of crop ET based on energy balance approaches and provide potential waypoints for other remote sensing applications and integration into precision irrigation management systems.
Authors
N.E. Bambach, A.J. McElrone, C. Parry, K. Shackel, W.P. Kustas, K.T. Paw U
Keywords
evapotranspiration, lysimeter, irrigation, almonds, surface fluxes, IRT
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