The University of Southampton
University of Southampton Institutional Repository

Estimating texture independently of tone in simulated images of forest canopies

Kuplich, T.M. and Curran, P.J. (2003) Estimating texture independently of tone in simulated images of forest canopies In Papers in proceedings of XI Simpósio Brasileiro de Sensoriamento Remoto. INPE Press., 2209 -2216.

Record type: Conference or Workshop Item (Paper)


Tone and texture are two fundamental characteristics of remotely sensed images. Current research on the remote sensing of tropical forest biomass uses the tone (i.e., backscatter) of Synthetic Aperture Radar (SAR) images as this is related directly to biomass (albeit up to the backscatter/biomass asymptote). As a tropical forest canopy ages so its unevenness increases, progressing from smooth to rough. Therefore a measure of SAR texture that is independent of SAR tone has the potential of increasing the biomass maxima that can be estimated with SAR data. This experiment used simulated SAR images designed to reproduce forest canopies and different patterns of tone (or contrast) and texture (or clumpiness). Twenty six texture measures (derived from local statistics, the grey-level co-occurrence matrix (GLCM) and variograms) were calculated for these simulated images. Measures sensitive to texture (clumpiness) and/or tone (contrast) were identified using Analysis of Variance (ANOVA). Seven texture measures were recommended for the estimation of tropical forest biomass with SAR images.

Full text not available from this repository.

More information

Published date: 2003
Venue - Dates: XI Simpósio Brasileiro de Sensoriamento Remoto (SBSR), 2003-04-05 - 2003-04-10


Local EPrints ID: 14812
PURE UUID: 76783ddf-0e6f-4a76-9ff0-3939956c90ca

Catalogue record

Date deposited: 02 Mar 2005
Last modified: 17 Jul 2017 16:52

Export record


Author: T.M. Kuplich
Author: P.J. Curran

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.