Cart (Loading....) | Create Account
Close category search window
 

Quantitative estimation of tropical forest cover by SAR

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Grover, K. ; Defence Evaluation Res. Agency, Malvern, UK ; Shuan Quegan ; da Costa Freitas, C.

The potential of spaceborne synthetic aperture radar (SAR) for monitoring tropical forest areas is assessed, using three ERS images from the Tapajos region of Amazonia gathered in 1992 and a single JERS-1 image of the same area acquired in 1993. The multitemporal ERS-1 data indicate that primary forest areas display a very stable radar backscattering coefficient (σ0), while in some cases, disturbed areas (nonforest and regenerating forest) exhibit changes that appear to be associated with soil moisture variations. To counteract σ0 distortions caused by topography, change detection based on ratios of intensity images (or differences of log images) provides a more useful discrimination approach than σ0 variations in single images. Change detection techniques are compared, and their ability to classify primary and disturbed forest is quantitatively assessed, assuming that a land cover map inferred from a 1992 Landsat thematic mapper (TM) image is correct. Even in the best case, less than 50% of the disturbed forest region is detected in the ERS-1 images. This figure may be improved by more frequent image acquisition, but there are fundamental limitations in using C-band data since the effects of soil moisture changes on σ0 are masked once even comparatively low levels of standing biomass are present. At the longer wavelength of JERS-1, much better discrimination is possible, but the correction of topographic distortions is likely to present problems

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:37 ,  Issue: 1 )

Date of Publication:

Jan 1999

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.