Title

Analysis of JERS-1 (Fuyo-1) SAR data for vegetation discrimination in northwestern Brasil using the semivariogram textural classifier (STC)

Abstract

Classification of JERS-1 (Fuyo-1) SAR data from the northwestern portion of Brazil was performed using the semivariogram textural classifier (STC). This is a deterministic, supervised classifier which provides the option of combining textural and radiometric information. Textural information is expressed by the semivariogram function; radiometric information is conveyed by the mean digital number (DN) value. Results have shown that STC allows vegetation units and water bodies to be discriminated and tentatively mapped, suggesting that this is a promising approach for environmental monitoring of rainforest regions using SAR data.

Publication Date

1996

Journal or Conference Title

International Journal of Remote Sensing

Volume

17, issue 17

Pages

3523-3529

Publisher Place

New York, NY. USA

Publisher

Taylor & Francis

Digital Object Identifier (DOI)

10.1080/01431169608949167

Document Type

Journal Article