A soil moisture sensorweb for use in flood forecasting applications

Philippe M. Teillet D.V.M.; Robert P. Gauthier; Terry J. Pultz; A. Deschamps; Gunar Fedosejevs; Matthew Maloley; Gino Ainsley; Alexander Chichagov

doi:10.1117/12.509483

24 February 2004 A soil moisture sensorweb for use in flood forecasting applications

Philippe M. Teillet D.V.M., Robert P. Gauthier, Terry J. Pultz, A. Deschamps, Gunar Fedosejevs, Matthew Maloley, Gino Ainsley, Alexander Chichagov

Author Affiliations +

Proceedings Volume 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V; (2004) https://doi.org/10.1117/12.509483
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

This paper describes work towards building an integrated Earth sensing capability and focuses on the demonstration of a prototype in-situ sensorweb in remote operation in support of flood forecasting. A five-node sensorweb was deployed in the Roseau River Sub-Basin of the Red River Watershed in Manitoba, Canada in September 2002 and remained there throughout the flood season until the end of June 2003. The sensorweb operated autonomously, with soil moisture measurements and standard meteorological parameters accessed remotely via land line and/or satellite from the Integrated Earth Sensing Workstation (IESW) at the Canada Centre for Remote Sensing (CCRS) in Ottawa. Independent soil moisture data were acquired from actual grab samples and field-portable sensors on the days of RADARSAT and Envisat Synthetic Aperture Radar (SAR) data acquisitions. The in-situ data were used to help generate spatial soil moisture estimates from the remotely sensed SAR data for use in a hydrological model for flood forecasting.

Citation Download Citation

Philippe M. Teillet D.V.M., Robert P. Gauthier, Terry J. Pultz, A. Deschamps, Gunar Fedosejevs, Matthew Maloley, Gino Ainsley, and Alexander Chichagov "A soil moisture sensorweb for use in flood forecasting applications", Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); https://doi.org/10.1117/12.509483

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