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TitleRADARSAT-1 Applied to the Mapping of Tropical Rain Forest: A Case Study in Guyana
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
Authorvan der Sanden, J JORCID logo
SourceAsian Journal of Geoinformatics; 2, 3, 2002 p. 3-10, Open Access logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20043063
Mediapaper; on-line; digital
File formatpdf
Released2002 01 01
AbstractThe potential of RADARSAT-1 Fine mode images for application to the assessment of tropical forest types and the monitoring of industrial selective logging were investigated using data acquired over Mabura Hill, Guyana. This study area supports a nearly complete tropical moist forest cover that comprises a total of six forest types, i.e. five types of primary forest and logged-over forest. Image texture, not backscatter, was identified as the principal source of information for the applications at issue. Texturally enhanced RADARSAT-1 Fine mode image products were found to offer moderate potential for both the assessment of tropical forest types and the monitoring of selective logging by means of visual interpretation. Furthermore, RADARSAT-1 Fine mode images were found to make moderate bases for automated classification of tropical forests by means of textural attributes computed per region.

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