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Fusing imaging spectrometry and airborne laser scanning data for tree species discrimination


Torabzadeh, Hossein; Morsdorf, Felix; Leiterer, Reik; Schaepman, Michael E (2014). Fusing imaging spectrometry and airborne laser scanning data for tree species discrimination. In: Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, Québec (Canada), 13 July 2014 - 18 July 2014, 1253-1256.

Abstract

Accurate mapping of tree species composition within forest ecosystems is an important aspect of management planning and monitoring. Passive optical remote sensing in general and imaging spectroscopy (IS) in particular have played an important role in producing such maps, but are suffering from issues due to vegetation structure. On the other hand, the structural information provided by airborne laser scanning (ALS) was shown to be helpful for species discrimination, particularly in heterogeneous forests. In this paper, we investigate the potential of product-level fusion of IS and ALS to provide a better tree species differentiation based on their complementarity. Our results show that the fused tree species map does improve on the single system maps and more accurately provides the distribution and fraction of each tree species within the study area.

Abstract

Accurate mapping of tree species composition within forest ecosystems is an important aspect of management planning and monitoring. Passive optical remote sensing in general and imaging spectroscopy (IS) in particular have played an important role in producing such maps, but are suffering from issues due to vegetation structure. On the other hand, the structural information provided by airborne laser scanning (ALS) was shown to be helpful for species discrimination, particularly in heterogeneous forests. In this paper, we investigate the potential of product-level fusion of IS and ALS to provide a better tree species differentiation based on their complementarity. Our results show that the fused tree species map does improve on the single system maps and more accurately provides the distribution and fraction of each tree species within the study area.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:18 July 2014
Deposited On:04 Dec 2014 08:28
Last Modified:20 May 2018 06:48
Publisher:IEEE Xplore
OA Status:Green
Publisher DOI:https://doi.org/10.1109/igarss.2014.6946660
Official URL:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6946660&punumber%3D6919813%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6946328%29%26pageNumber%3D13

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