Hyperspectral remote sensing of vegetation species distribution in a saltmarsh

摘要: The availability of quality empirical data on vegetation species distribution is a major factor limiting the understanding, if not resolution, many nature conservation issues. Accurate knowledge plant can form critical component for managing ecosystems and preserving biological diversity. Remote sensing an important tool mapping monitoring vegetation. Advances in sensor technology continually improve information content imagery airborne as well space-borne systems. unifying hypothesis this dissertation was that associations be differentiated using their hyperspectral reflectance visible to shortwave infrared spectral range. For purpose field spectra images detailed saltmarsh types Dutch Waddenzee wetland were analyzed. Prior analysis smoothed with innovative wavelet approach which, compared other techniques, showed best trade-off between noise reduction preservation features. In first stage analysis, tested differences type classes. It found that, although consist similar detectable absorption features making them source about biochemical constitution vegetation, there are significant types, both absolute curvature. Using imagery, alternative method demonstrated uses expert system combine terrain derived from radar altimetry. accuracy efficiency production map increased when generated by those produced conventional aerial photograph interpretation. Lastly, classification determined three techniques imagery. Compared selection individual bands, linear transformation space into lower-dimensional improves classes, therefore should preferred method. Therefore, results confirm main it possible differentiate remote sensing.