Diurnal Dynamics of Wheat Evapotranspiration Derived from 7 Ground-Based Thermal Imagery

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Title:Main Title: Diurnal Dynamics of Wheat Evapotranspiration Derived from 7 Ground-Based Thermal Imagery
Description:Abstract: The latent heat flux, one of the key components of the surface energy balance, can be inferred from remotely sensed thermal infrared data. However, discrepancies between modeled and observed evapotranspiration are large. Thermal cameras might provide a suitable tool for model evaluation under variable atmospheric conditions. Here we evaluate the results from the Penman-Monteith, Surface Energy Balance and Bowen Ratio approaches, which estimate the diurnal course of latent heat fluxes at a ripe winter wheat stand using measured and modeled temperatures. Under overcast conditions models perform similar and radiometric image temperatures are linearly correlated with the inverted aerodynamic temperature. During clear sky conditions the temperature of the wheat ear layer could be used to predict daytime turbulent fluxes (Root Mean Squared Error and Mean Absolute Error: 20-35 W m-2, r2: 0.76-0.88) whereas spatially averaged temperatures caused underestimation of pre-noon and overestimation of afternoon fluxes. Errors are dependent on models’ ability to simulate diurnal hysteresis effects and largest during intermittent clouds due to the discrepancy between the timing of image capture and the time needed for the leaf-air-temperature gradient to adapt to changes in solar radiation. During such periods we suggest using modeled surface temperatures for temporal upscaling and the validation of image data.
Identifier:10.3390/rs6109775 (DOI)
Related Resource:Has Version http://www.tr32db.uni-koeln.de/data.php?dataID=1093 (URL)
Responsible Party
Creators:Hella Ahrends (Author), Rainer Haseneder-Lind (Author), Jan Schween (Author), Susanne Crewell (Author), Anja Stadler (Author), Uwe Rascher (Author)
Publisher:MDPI
Publication Year:2015
Topic
TR32 Topic:Vegetation
Related Subproject:D2
Subject:Keyword: Evapotranspiration
File Details
Filename:Ahrends_et_al_2014.pdf
Data Type:Text - Article
File Size:3.2 MB
Date:Available: 14.10.2014
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Source:Remote Sensing
Issue:10
Volume:6
Number of Pages:27 (9775 - 9801)
Metadata Details
Metadata Creator:Sandra Steinke
Metadata Created:23.04.2015
Metadata Last Updated:23.04.2015
Subproject:D2
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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