Estimation of root-zone soil moisture using crop water stress index (CWSI) in agricultural fields

VR Akuraju; D Ryu; B George

Journal article

Estimation of root-zone soil moisture using crop water stress index (CWSI) in agricultural fields

VR Akuraju, D Ryu, B George

Giscience and Remote Sensing | Published : 2021

DOI: 10.1080/15481603.2021.1877009

Abstract

Due to the limited availability of Root-Zone Soil Moisture (RZSM) information at the regional scale, this paper explores the use of thermal infrared remote sensing to estimate RZSM in agricultural fields. This study presents the Crop Water Stress Index (CWSI) derived from thermal infrared data used as an indicator to estimate root zone soil moisture. Theoretical limits were calculated using canopy and air temperature difference, which is related to vapor pressure deficit. An empirical model was developed using continuous remotely sensed optical, thermal infrared data with limited meteorological data collected from a wheat site, the Dookie experimental farm, Victoria, Australia during 2012 an..

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University of Melbourne Researchers

Dongryeol Ryu Author

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Funding Acknowledgements

The authors would like to thank the Australian Centre for International Agriculture Research (ACIAR) for sponsoring the research under the John Allwright Fellowship. The authors gratefully acknowledge the support received from Robert Pipunic and Rodger Ian Young in data collection in Dookie experimental site. We are also thankful to USDA-ARS Hydrology and Remote Sensing Laboratory for providing the extensive OPE<SUP>3</SUP> dataset.