Abstract

The paper investigates the potential of the co-polarized HH/VV backscatter ratio at C-bandand at high incidence angle to discriminate agricultural canopies characterized by smallleaves and vertical stem structure (i.e. cereal crops) from those having a more branchinggeometry (e.g. tomato) or large leaves (e.g. sugar beet). The analysed data set consists ofmulti-temporal C-band HH and VV backscatter data acquired in 2006 and 2007 by theAdvanced Synthetic Aperture Radar (ASAR) system over an agricultural site located inSouthern Italy. The adopted classification scheme is based on a threshold approach, whichis firstly assessed on selected fields and then extended over the entire study area. In addition,the analysis assesses the impact on the classification accuracy of two speckle filteringtechniques, i.e. spatial and combined temporal-spatial speckle filtering. On test data, resultsshow that the classification accuracy of cereal fields is equal to about 80%. This figure canreach up to 90% if a spatial averaging at field scale is applied.

Autore Pugliese

• Satalino Giuseppe

Tutti gli autori

• G. Satalino

Titolo volume/Rivista

Rivista italiana di telerilevamento

Anno di pubblicazione

2010

ISSN

2039-7879

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

Non Disponibile

Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

Non Disponibile