Characterising groundwater use by vegetation using a surface energy balance model and satellite observations of land surface temperature

Gow, L. J., Barrett, D. J., Renzullo, L. J., Phinn, S. R. and O'Grady, A. P. (2016) Characterising groundwater use by vegetation using a surface energy balance model and satellite observations of land surface temperature. Environmental Modelling and Software, 80 66-82. doi:10.1016/j.envsoft.2016.02.021


Author Gow, L. J.
Barrett, D. J.
Renzullo, L. J.
Phinn, S. R.
O'Grady, A. P.
Title Characterising groundwater use by vegetation using a surface energy balance model and satellite observations of land surface temperature
Journal name Environmental Modelling and Software   Check publisher's open access policy
ISSN 1364-8152
1873-6726
Publication date 2016-06-01
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.envsoft.2016.02.021
Open Access Status Not Open Access
Volume 80
Start page 66
End page 82
Total pages 17
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Collection year 2017
Language eng
Formatted abstract
This study presents a novel 'model-data' approach to detect groundwater-dependent vegetation (GDV), through differences in modelled and observed land surface temperatures (LST) in space and time. Vegetation groundwater use is inferred where modelled LST exceeds observed LST by more than a threshold determined from consideration of systematic and random errors in model and observations. Modelled LST was derived from a surface energy balance model and LST observations were obtained from Terra-MODIS thermal imagery. The model-data approach, applied in the Condamine River Catchment, Queensland, Australia, identified GDV coincident to existing mapping. GDV were found to use groundwater up to 48% of the time and for as many as 56 consecutive days. Under driest of conditions, groundwater was estimated to contribute up to 0.2 mm h-1 to total ET for GDV. The ability to both detect the location and water-use dynamics of GDV is a significant advancement on previous remote-sensing GDV methods.
Keyword Groundwater-dependent vegetation
Land surface temperature
Satellite remote sensing
Surface energy balance modelling
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
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