A study of forest vertical structure estimation using coherence tomography coupled to a macro-ecological scattering model

S. R. Cloude; M. Brolly; I. H. Woodhouse

doi:10.1109/IGARSS.2009.5417477

A study of forest vertical structure estimation using coherence tomography coupled to a macro-ecological scattering model

S. R. Cloude, M. Brolly, I. H. Woodhouse

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

Abstract

In this paper we combine a macro-ecology forest model with a numerical scattering code to estimate the vertical scattering profile of L-band penetration into forests. We use these simulations to show that structure has an important impact on interferometric coherence and hence on height retrievals based on single baseline polarimetric interferometry. We conclude with some suggestions for dual baseline extensions to allow for better height and structure estimation in future sensors.

Original language	English
Title of host publication	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
Pages	IV717-IV720
DOIs	https://doi.org/10.1109/IGARSS.2009.5417477
Publication status	Published - 2009
Event	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Cape Town, South Africa Duration: 12 Jul 2009 → 17 Jul 2009

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	4

Conference

Conference	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Country/Territory	South Africa
City	Cape Town
Period	12/07/09 → 17/07/09

Keywords

Forest scattering models
Radar tomography
Vertical structure

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10.1109/IGARSS.2009.5417477

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Cloude, S. R., Brolly, M., & Woodhouse, I. H. (2009). A study of forest vertical structure estimation using coherence tomography coupled to a macro-ecological scattering model. In 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings (pp. IV717-IV720). [5417477] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 4). https://doi.org/10.1109/IGARSS.2009.5417477

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title = "A study of forest vertical structure estimation using coherence tomography coupled to a macro-ecological scattering model",

abstract = "In this paper we combine a macro-ecology forest model with a numerical scattering code to estimate the vertical scattering profile of L-band penetration into forests. We use these simulations to show that structure has an important impact on interferometric coherence and hence on height retrievals based on single baseline polarimetric interferometry. We conclude with some suggestions for dual baseline extensions to allow for better height and structure estimation in future sensors.",

keywords = "Forest scattering models, Radar tomography, Vertical structure",

author = "Cloude, {S. R.} and M. Brolly and Woodhouse, {I. H.}",

year = "2009",

doi = "10.1109/IGARSS.2009.5417477",

language = "English",

isbn = "9781424433957",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "IV717--IV720",

booktitle = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings",

note = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 ; Conference date: 12-07-2009 Through 17-07-2009",

}

Cloude, SR, Brolly, M & Woodhouse, IH 2009, A study of forest vertical structure estimation using coherence tomography coupled to a macro-ecological scattering model. in 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings., 5417477, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 4, pp. IV717-IV720, 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009, Cape Town, South Africa, 12/07/09. https://doi.org/10.1109/IGARSS.2009.5417477

A study of forest vertical structure estimation using coherence tomography coupled to a macro-ecological scattering model. / Cloude, S. R.; Brolly, M.; Woodhouse, I. H.

2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings. 2009. p. IV717-IV720 5417477 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 4).

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

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AU - Woodhouse, I. H.

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N2 - In this paper we combine a macro-ecology forest model with a numerical scattering code to estimate the vertical scattering profile of L-band penetration into forests. We use these simulations to show that structure has an important impact on interferometric coherence and hence on height retrievals based on single baseline polarimetric interferometry. We conclude with some suggestions for dual baseline extensions to allow for better height and structure estimation in future sensors.

AB - In this paper we combine a macro-ecology forest model with a numerical scattering code to estimate the vertical scattering profile of L-band penetration into forests. We use these simulations to show that structure has an important impact on interferometric coherence and hence on height retrievals based on single baseline polarimetric interferometry. We conclude with some suggestions for dual baseline extensions to allow for better height and structure estimation in future sensors.

KW - Forest scattering models

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M3 - Conference contribution

AN - SCOPUS:77951261618

SN - 9781424433957

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - IV717-IV720

BT - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings

T2 - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009

Y2 - 12 July 2009 through 17 July 2009

ER -

Cloude SR, Brolly M, Woodhouse IH. A study of forest vertical structure estimation using coherence tomography coupled to a macro-ecological scattering model. In 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings. 2009. p. IV717-IV720. 5417477. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2009.5417477

A study of forest vertical structure estimation using coherence tomography coupled to a macro-ecological scattering model

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Keywords

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