TR32-Database: Database of Transregio 32

[1149] - Diurnal Dynamics of Wheat Evapotranspiration Derived from 7 Ground-Based Thermal Imagery

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
Ahrends, H., Haseneder-Lind, R., Schween, J., Crewell, S., Stadler, A., Rascher, U., 2014. Diurnal Dynamics of Wheat Evapotranspiration Derived from 7 Ground-Based Thermal Imagery. Remote Sensing, 6 (10), 9775 - 9801. DOI: 10.3390/rs6109775.
Identification
Title(s):Main Title: Diurnal Dynamics of Wheat Evapotranspiration Derived from 7 Ground-Based Thermal Imagery
Description(s):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(s):DOI: 10.3390/rs6109775
Responsible Party
Creator(s):Author: Hella Ahrends
Author: Rainer Haseneder-Lind
Author: Jan Schween
Author: Susanne Crewell
Author: Anja Stadler
Author: Uwe Rascher
Publisher:MDPI
Topic
TR32 Topic:Vegetation
Related Sub-project(s):D2
Subject(s):CRC/TR32 Keywords: Evapotranspiration
File Details
File Name:Ahrends_et_al_2014.pdf
Data Type:Text
File Size:3273 kB (3.196 MB)
Date(s):Available: 2014-10-14
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
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
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2014
Type:Article
Source:Remote Sensing
Issue:10
Volume:6
Number Of Pages:27
Page Range:9775 - 9801
Metadata Details
Metadata Creator:Sandra Steinke
Metadata Created:2015-04-23
Metadata Last Updated:2015-04-23
Subproject:D2
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:217
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Features