Supporting precision agriculture with dual-polarimetric TerraSAR-X - yield prediction and identification of in-field variations to generate fertilizer prescription maps

Dhar, T.; Menges, C.; Gray, D.; Douglas, J.; Wilksch, L.

Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/64818

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Type:	Conference paper
Title:	Supporting precision agriculture with dual-polarimetric TerraSAR-X - yield prediction and identification of in-field variations to generate fertilizer prescription maps
Author:	Dhar, T. Menges, C. Gray, D. Douglas, J. Wilksch, L.
Citation:	Proceedings: 2010 IEEE International Geoscience & Remote Sensing Symposium, July 25—30, 2010 Honolulu, Hawaii, U.S.A.: pp.1446-1449
Publisher:	IEEE
Publisher Place:	USA
Issue Date:	2010
Series/Report no.:	IEEE International Symposium on Geoscience and Remote Sensing IGARSS
ISBN:	9781424495658
ISSN:	2153-6996
Conference Name:	IEEE International Geoscience and Remote Sensing Symposium (2010 : Honolulu, Hawaii)
Statement of Responsibility:	Tishampati Dhar, Carl Menges, Doug Gray, John Douglas and Leighton Wilksch
Abstract:	This paper presents studies carried out over 2 growing season in South Australia to evaluate the suitability of TerrSAR-X dual-polarimetric imagery for crop growth monitoring and yield prediction. End of season crops were observed in 2008 and significant correlation with yield was noted. Mid-season crops were observed in 2009 and due to the lower biomass no significant in field trends were observed in the SAR when compared with concurrently acquired ground NDVI sensor and multispectral optical data. Separability between different crop types is evident in both studies, but crop biomass has to be significant for any in-field variations to be apparent.
Rights:	© 2010 IEEE
DOI:	10.1109/IGARSS.2010.5650531
Published version:	http://dx.doi.org/10.1109/igarss.2010.5650531
Appears in Collections:	Aurora harvest Electrical and Electronic Engineering publications

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