Retrieval of forest structure and moisture from SAR data using an estimation algorithm

D. Clewley; M. Moghaddam; R. Lucas; P. Bunting

doi:10.1109/IGARSS.2013.6721115

Retrieval of forest structure and moisture from SAR data using an estimation algorithm

D. Clewley, M. Moghaddam, R. Lucas, P. Bunting

Department of Geography and Earth Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

The inversion of physics-based models presents a promising alternative to empirical relationships for the retrieval of forest structure from Synthetic Aperture Radar (SAR) data, one particular advantage being the ability to include information on soil and vegetation moisture. This paper describes a twostageestimationalgorithmforretrievingcanopyandstemparameters, applied to AIRSAR data over a site in Queensland, Australia and validated using eight ﬁeld plots.

Original language	English
Pages (from-to)	153-156
Journal	IEEE International Geoscience and Remote Sensing Symposium Proceedings
DOIs	https://doi.org/10.1109/IGARSS.2013.6721115
Publication status	Published - 27 Jan 2014
Event	2013 IEEE International Geoscience and Remote Sensing Symposium - Melbourne, Australia Duration: 21 Jul 2013 → 26 Jul 2013

Keywords

forest structure
Synthetic Aperture Radar
estimation algorith

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10.1109/IGARSS.2013.6721115

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abstract = "The inversion of physics-based models presents a promising alternative to empirical relationships for the retrieval of forest structure from Synthetic Aperture Radar (SAR) data, one particular advantage being the ability to include information on soil and vegetation moisture. This paper describes a twostageestimationalgorithmforretrievingcanopyandstemparameters, applied to AIRSAR data over a site in Queensland, Australia and validated using eight ﬁeld plots. ",

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AU - Bunting, P.

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AB - The inversion of physics-based models presents a promising alternative to empirical relationships for the retrieval of forest structure from Synthetic Aperture Radar (SAR) data, one particular advantage being the ability to include information on soil and vegetation moisture. This paper describes a twostageestimationalgorithmforretrievingcanopyandstemparameters, applied to AIRSAR data over a site in Queensland, Australia and validated using eight ﬁeld plots.

KW - forest structure

KW - Synthetic Aperture Radar

KW - estimation algorith

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DO - 10.1109/IGARSS.2013.6721115

M3 - Article

SN - 2153-7003

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JO - IEEE International Geoscience and Remote Sensing Symposium Proceedings

JF - IEEE International Geoscience and Remote Sensing Symposium Proceedings

T2 - 2013 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 21 July 2013 through 26 July 2013

ER -

Retrieval of forest structure and moisture from SAR data using an estimation algorithm

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