Integrating field data and remote sensing to identify secondary succession stages in the Amazon.
Secondary succession (SS) of tropical forest ecosystems follows disturbances such as deforestation. Sharp distinctions between SS stages are often artificial, but useful in Land-Use/Land-Cover (LULC) classifications. In this paper, results for vegetation structure in Rondônia, Brazilian Amazon, are presented as a basis for discussing the reflectance of SS stages when using Landsat TM imagery. Vegetation structure data were collected through 32 surveys encompassing initial SS (SS1), intermediate SS (SS2), advanced SS (SS3), and forest. The results informed the classification of a TM image acquired in 1998. Statistical analyses were performed. SS1, SS2, SS3, and forest were well separated when using solely the data for vegetation structure (p<0.001). However, analyses of reflectance on selected TM bands allowed the separation of only three of these classes (SS1 and SS2 mixed together, SS3, and forest). These findings contribute to the spatialtemporal monitoring of Amazonian landscapes and their LULC dynamics.
| Main Authors: | , |
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| Other Authors: | |
| Format: | Anais e Proceedings de eventos biblioteca |
| Language: | English eng |
| Published: |
2003-09-23
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| Subjects: | Amazonas., Desmatamento, Floresta Tropical Úmida, Sensoriamento Remoto., |
| Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/16844 |
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