which hyperspectral image classification will provide feedback from ecological variability in coastal landscape analysis and management. Combining proximal remote sensing analysis of field hyperspectral measurements with contemporary airborne hyperspectral imagery and altimetry acquisitions is an innovative approach to the application of spectral mixture analysis that is able to map the finest scale of seaweed cover degree.
Valentini, E., Taramelli, A., Bresciani, M., Giardino, C., Filipponi, F., Targusi, M., et al. (2012). Spectral libraries for emerged and submerged sandy beach using hyperspectral data. In Ecological Society of America Annual Meeting 2012 (pp.126-126). Portland : ESA.
Spectral libraries for emerged and submerged sandy beach using hyperspectral data
Disperati, L.
2012-01-01
Abstract
which hyperspectral image classification will provide feedback from ecological variability in coastal landscape analysis and management. Combining proximal remote sensing analysis of field hyperspectral measurements with contemporary airborne hyperspectral imagery and altimetry acquisitions is an innovative approach to the application of spectral mixture analysis that is able to map the finest scale of seaweed cover degree.
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https://hdl.handle.net/11365/50381
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