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Fusion of hyperspectral and LiDAR data for forest attributes estimation | IEEE Conference Publication | IEEE Xplore

Fusion of hyperspectral and LiDAR data for forest attributes estimation


Abstract:

In this paper a system for the fusion of hyperspectral and airborne laser scanning (ALS) data for the estimation of forest attributes is presented. In particular we focus...Show More

Abstract:

In this paper a system for the fusion of hyperspectral and airborne laser scanning (ALS) data for the estimation of forest attributes is presented. In particular we focused on the classification of tree species, the estimation of stem diameter at breast height (DBH) and the estimation of the stem volume. The results showed that the fusion of hyperspectral and ALS data improve the estimation results respect to the use of only one data source.
Date of Conference: 13-18 July 2014
Date Added to IEEE Xplore: 06 November 2014
Electronic ISBN:978-1-4799-5775-0

ISSN Information:

Conference Location: Quebec City, QC, Canada

References

References is not available for this document.