DocumentCode
2668847
Title
Integration of first and last return LiDAR with hyperspectral data to characterize forested environments.
Author
Niemann, K. Olaf ; Frazer, Gordon ; Loos, Rafael ; Visintini, Fabio ; Stephen, Roger
Author_Institution
Univ. of Victoria, Victoria
fYear
2007
fDate
23-28 July 2007
Firstpage
1537
Lastpage
1540
Abstract
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.
Keywords
forestry; optical radar; remote sensing by laser beam; sensor fusion; airborne platform; first return LiDAR; forested environments; hyperspectral imaging; last return LiDAR; multiple sensors; passive optical hyperspectral data; Biometrics; Data mining; Geography; Hyperspectral imaging; Hyperspectral sensors; Laser radar; Optical imaging; Optical sensors; Sensor phenomena and characterization; Spectroscopy; LiDAR; data fusion; forest attributes; hyperspectral; species clarification;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4423102
Filename
4423102
Link To Document