| Title | RADARSAT-1 Applied to the Mapping of Tropical Rain Forest: A Case Study in Guyana |
| Download | Downloads
(Preprint) |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | van der Sanden, J J |
| Source | Asian Journal of Geoinformatics; 2, 3, 2002 p. 3-10, https://doi.org/10.4095/219865  Open Access |
| Year | 2002 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043063 |
| Document | book |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Released | 2002 01 01 |
| Abstract | The 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. |
| GEOSCAN ID | 219865 |
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