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.
Department
Center for Coastal and Ocean Mapping
Publication Date
1996
Volume
17, issue 17
Journal Title
International Journal of Remote Sensing
Pages
3523-3529
Publisher Place
New York, NY. USA
Publisher
Taylor & Francis
Digital Object Identifier (DOI)
10.1080/01431169608949167
Document Type
Journal Article
Recommended Citation
F. P. MIRANDA, L. E. N. FONSECA, J. R. CARR, and J. V. TARANIK, ‘Analysis of JERS-1 (Fuyo-1) SAR data for vegetation discrimination in northwestern brazil using the semivariogram textural classifier (STC)’, International Journal of Remote Sensing, vol. 17, no. 17, pp. 3523–3529, Nov. 1996.