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Proceedings Paper

Retrieving vegetation cover types in the complex natural ecosystem of the Pollino National Park (South Italy) through Hyperion data
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Paper Abstract

In this paper the potential of the Hyperion spaceborne hyperspectral data in discriminating land covers in complex natural ecosystems was evaluated according to the hierarchical structure of the European standard legend (CORINE Land Cover 2000). Furthermore, the ability of the Hyperion data in retrieving land cover information at sub-pixel level was assessed by exploiting the vegetation classes' distribution as obtained by aerial-photos. Four standard supervised classifiers have been compared in terms of algorithm performance and class accuracy by applying statistical metric; the best results were achieved with the Minimum Distance (MD) classifier. In those areas exhibiting mixed pixels at the Hyperion spatial resolution a Linear Spectral Unmixing technique was applied for deriving abundance fractions of the endmembers (i.e. land covers) previously identified. Accuracy of the un-mixing analysis was evaluated using a Residual Error index calculated by relating Hyperion fractional abundances and reference aerial-photos. Results show the capability of Hyperion data to map land covers and vegetation diversity even at sub-pixel level within a complex natural landscape.

Paper Details

Date Published: 30 October 2007
PDF: 11 pages
Proc. SPIE 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, 674930 (30 October 2007); doi: 10.1117/12.739076
Show Author Affiliations
Lorenzo Fusilli, Istituto sull'Inquinamento Atmosferico (Italy)
Cristiana Bassani, Istituto sull'Inquinamento Atmosferico (Italy)
Simone Pascucci, Istituto sull'Inquinamento Atmosferico (Italy)
Stefano Pignatti, Istituto di Metodologie per l'Analisi Ambientale (Italy)


Published in SPIE Proceedings Vol. 6749:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII
Manfred Ehlers; Ulrich Michel, Editor(s)

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