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Tree species mapping by combining hyperspectral with LiDAR data

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Abstract
This study deals with data fusion of hyperspectral and LiDAR sensors for forest applications. In particular, the added value of different data sources on tree species mapping has been analyzed. A total of seven species have been mapped for a forested area in Belgium: Beech, Ash, Larch, Poplar, Copper beech, Chestnut and Oak. Hyperspectral data is obtained from the APEX sensor in 286 spectral bands. LiDAR data has been acquired with a TopoSys sensor Harrier 56 at full waveform. Confirming previous research [1], it has been found that airborne LiDAR data, when combined with hyperspectral data, can improve classification results. The novelty of this study is in the quantification of the contribution of the individual data sources and their derived parameters. LiDAR information was combined with the hyperspectral image in a data fusion approach. Different data fusion techniques were tested, including feature and decision fusion. Decision fucsion produced optimal results, reaching an overall accuracy of 96% (Kappa [3] of 0:95).

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Chicago
Kempeneers, Pieter, Frieke Vancoillie, Wenzhi Liao, Flore Devriendt, and Kris Vandekerkhove. 2014. “Tree Species Mapping by Combining Hyperspectral with LiDAR Data.” In Geoscience and Remote Sensing, IEEE International Symposium, Proceedings, ed. Monique Bernier, Josée Lévesque, Jean-Marc Garneau, and Ellsworth LeDrew. New York, NY, USA: IEEE.
APA
Kempeneers, Pieter, Vancoillie, F., Liao, W., Devriendt, F., & Vandekerkhove, K. (2014). Tree species mapping by combining hyperspectral with LiDAR data. In M. Bernier, J. Lévesque, J.-M. Garneau, & E. LeDrew (Eds.), Geoscience and Remote Sensing, IEEE International symposium, Proceedings. Presented at the 2014 IEEE International Geoscience and Remote Sensing symposium (IGARSS 2014) ; 35th Canadian symposium on Remote Sensing (35th CSRS): Energy and our changing planet, New York, NY, USA: IEEE.
Vancouver
1.
Kempeneers P, Vancoillie F, Liao W, Devriendt F, Vandekerkhove K. Tree species mapping by combining hyperspectral with LiDAR data. In: Bernier M, Lévesque J, Garneau J-M, LeDrew E, editors. Geoscience and Remote Sensing, IEEE International symposium, Proceedings. New York, NY, USA: IEEE; 2014.
MLA
Kempeneers, Pieter, Frieke Vancoillie, Wenzhi Liao, et al. “Tree Species Mapping by Combining Hyperspectral with LiDAR Data.” Geoscience and Remote Sensing, IEEE International Symposium, Proceedings. Ed. Monique Bernier et al. New York, NY, USA: IEEE, 2014. Print.
@inproceedings{5663359,
  abstract     = {This study deals with data fusion of hyperspectral and LiDAR sensors for forest applications. In particular, the added value of different data sources on tree species mapping has been analyzed. A total of seven species have been mapped for a forested area in Belgium: Beech, Ash, Larch, Poplar, Copper beech, Chestnut and Oak. Hyperspectral data is obtained from the APEX sensor in 286 spectral bands. LiDAR data has been acquired with a TopoSys sensor Harrier 56 at full waveform. Confirming previous research [1], it has been found that airborne LiDAR data, when combined with hyperspectral data, can improve classification results. The novelty of this study is in the quantification of the contribution of the individual data sources and their derived parameters. LiDAR information was combined with the hyperspectral image in a data fusion approach. Different data fusion techniques were tested, including feature and decision fusion. Decision fucsion produced optimal results, reaching an overall accuracy of 96% (Kappa [3] of 0:95).},
  articleno    = {TU2.07.5},
  author       = {Kempeneers, Pieter and Vancoillie, Frieke and Liao, Wenzhi and Devriendt, Flore and Vandekerkhove, Kris},
  booktitle    = {Geoscience and Remote Sensing, IEEE International symposium, Proceedings},
  editor       = {Bernier, Monique and Lévesque, Josée and Garneau, Jean-Marc and LeDrew, Ellsworth},
  isbn         = {9781479957743},
  language     = {eng},
  location     = {Québec, QC, Canada},
  pages        = {4},
  publisher    = {IEEE},
  title        = {Tree species mapping by combining hyperspectral with LiDAR data},
  year         = {2014},
}