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Brazilian Amazon territory vegetation study using SAR polarimetry methods

Abstract : The satellite scene that we used is ALOS-PALSAR PRI mode fully-polarimetric data (polarizations: HH, VV, VH and HV). Polarimetric SAR data possess a high potential for classification of the Earth surface [1]. H-A-alpha decomposition that is one of the most frequently used ones and Freeman-Durden decomposition that has been proved ideal for vegetation analysis and classification according to many studies. H-A-alpha decomposition extracts 3 basic parameters: Entropy, Anisotropy and alpha angle. Parameters that give different information for the scene. Entropy is a measure that indicates scattering characteristics of land and the higher values it gets the more intense the backscattering is. Alpha angle, usually, gives the same results with entropy. It gets different values from entropy parameter and each value gives important information about the scatterer type. Anisotropy parameter is an additional one, which, combining to the other 2 parameters offers a better classification.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01380641
Contributor : Laurent Jonchère <>
Submitted on : Thursday, October 13, 2016 - 12:00:31 PM
Last modification on : Monday, October 5, 2020 - 9:44:04 AM

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  • HAL Id : hal-01380641, version 1

Citation

K. Stavroula, Eric Pottier, I. Parcharidis. Brazilian Amazon territory vegetation study using SAR polarimetry methods. Living Planet Symposium 2016, May 2016, Prague, Czech Republic. ⟨hal-01380641⟩

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