Integration of first and last return LiDAR with hyperspectral data to characterize forested environments

被引：1

作者：

Niemann, K. Olaf ^{[1
]}

Frazer, Gordon ^{[1
]}

Loos, Rafael ^{[1
]}

Visintini, Fabio ^{[1
]}

Stephen, Roger ^{[1
]}

机构：

[1] Univ Victoria, Dept Geog, Victoria, BC, Canada

来源：

IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年

关键词：

LiDAR; hyperspectral; data fusion; forest attributes; species claaificaiton;

D O I：

10.1109/IGARSS.2007.4423102

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The fusion of active LiDAR and passive optical hyperspectral data allows us to characterize the forest environments in ways that have not,been possible previously with only one data source. This paper describes an airborne platform configured to collect data from multiple sensors simultaneously. Data from the platform have been applied to describe forest environments both in terms to species and structure. Integration of the data yields information and characterization of forest environments than has been possible in the past.

引用

页码：1537 / 1540

页数：4

共 20 条

[1] A multiscale curvature algorithm for classifying discrete return LiDAR in forested environments
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[9] Fusion of Airborne Discrete-Return LiDAR and Hyperspectral Data for Land Cover Classification
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[10] LiDAR And Hyperspectral Data Integration For Landslide Monitoring: The Test Case Of Valoria Landslide
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