Ground-based riparian evapotranspiration measurements for remote sensing algorithms

Ramanitharan Kandiah; Xiaofang Wei; Subramania Sritharan; Doyle Watts; Christopher Neale; John Osterberg; Sumantra Chatterjee

Ground-based riparian evapotranspiration measurements for remote sensing algorithms

Ramanitharan Kandiah, Xiaofang Wei, Subramania Sritharan, Doyle Watts, Christopher Neale, John Osterberg, Sumantra Chatterjee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

During 2007-2008, the United States Bureau of Reclamation used ground-based instrumentation to assess evapotranspiration of riparian vegetation in the Cibola Wildlife Refuge of Arizona. Data gathered from three Bowen Ratio towers and one Eddy Covariance tower was analysed. The eddy flux estimation from eddy covariance data involved various corrections in the raw data. These estimates were used to compute the daily evapotranspiration. Evapotranspiration estimates from both approaches were compared. A methodology for generating continuous daily evapotranspiration estimates using Artificial Neural Network technique was discussed. These groundtruth estimates were compared to the values from the remote sensing algorithm.

Original language	English (US)
Title of host publication	Remote Sensing and Hydrology
Pages	206-209
Number of pages	4
State	Published - 2012
Externally published	Yes
Event	Remote Sensing and Hydrology Symposium - Jackson Hole, WY, United States Duration: Sep 27 2010 → Sep 30 2010

Publication series

Name	IAHS-AISH Publication
Volume	352
ISSN (Print)	0144-7815

Conference

Conference	Remote Sensing and Hydrology Symposium
Country/Territory	United States
City	Jackson Hole, WY
Period	9/27/10 → 9/30/10

Keywords

Artificial neural networks
Bowen ratio
Eddy covariance
Evapotranspiration

ASJC Scopus subject areas

Earth and Planetary Sciences(all)

Cite this

Ground-based riparian evapotranspiration measurements for remote sensing algorithms. / Kandiah, Ramanitharan; Wei, Xiaofang; Sritharan, Subramania; Watts, Doyle; Neale, Christopher; Osterberg, John; Chatterjee, Sumantra.

Remote Sensing and Hydrology. 2012. p. 206-209 (IAHS-AISH Publication; Vol. 352).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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title = "Ground-based riparian evapotranspiration measurements for remote sensing algorithms",

abstract = "During 2007-2008, the United States Bureau of Reclamation used ground-based instrumentation to assess evapotranspiration of riparian vegetation in the Cibola Wildlife Refuge of Arizona. Data gathered from three Bowen Ratio towers and one Eddy Covariance tower was analysed. The eddy flux estimation from eddy covariance data involved various corrections in the raw data. These estimates were used to compute the daily evapotranspiration. Evapotranspiration estimates from both approaches were compared. A methodology for generating continuous daily evapotranspiration estimates using Artificial Neural Network technique was discussed. These groundtruth estimates were compared to the values from the remote sensing algorithm.",

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AU - Kandiah, Ramanitharan

AU - Wei, Xiaofang

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AU - Neale, Christopher

AU - Osterberg, John

AU - Chatterjee, Sumantra

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N2 - During 2007-2008, the United States Bureau of Reclamation used ground-based instrumentation to assess evapotranspiration of riparian vegetation in the Cibola Wildlife Refuge of Arizona. Data gathered from three Bowen Ratio towers and one Eddy Covariance tower was analysed. The eddy flux estimation from eddy covariance data involved various corrections in the raw data. These estimates were used to compute the daily evapotranspiration. Evapotranspiration estimates from both approaches were compared. A methodology for generating continuous daily evapotranspiration estimates using Artificial Neural Network technique was discussed. These groundtruth estimates were compared to the values from the remote sensing algorithm.

AB - During 2007-2008, the United States Bureau of Reclamation used ground-based instrumentation to assess evapotranspiration of riparian vegetation in the Cibola Wildlife Refuge of Arizona. Data gathered from three Bowen Ratio towers and one Eddy Covariance tower was analysed. The eddy flux estimation from eddy covariance data involved various corrections in the raw data. These estimates were used to compute the daily evapotranspiration. Evapotranspiration estimates from both approaches were compared. A methodology for generating continuous daily evapotranspiration estimates using Artificial Neural Network technique was discussed. These groundtruth estimates were compared to the values from the remote sensing algorithm.

KW - Artificial neural networks

KW - Bowen ratio

KW - Eddy covariance

KW - Evapotranspiration

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M3 - Conference contribution

AN - SCOPUS:84883436001

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Ground-based riparian evapotranspiration measurements for remote sensing algorithms

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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