Hyperspectral discrimination of tropical dry forest lianas and trees: Comparative data reduction approaches at the leaf and canopy levels Kalacska, M, Bohlman, S, Sanchez-Azofeifa, GA, Castro-Esau, K and Caelli, Terry 2007, Hyperspectral discrimination of tropical dry forest lianas and trees: Comparative data reduction approaches at the leaf and canopy levels, Remote Sensing of Environment, vol. 109, no. 4, pp. 406-415, doi: 10.1016/j.rse.2007.01.012. Attached Files Name Description MIMEType Size Downloads Title Hyperspectral discrimination of tropical dry forest lianas and trees: Comparative data reduction approaches at the leaf and canopy levels Author(s) Kalacska, M Bohlman, S Sanchez-Azofeifa, GA Castro-Esau, K Caelli, Terry orcid.org/0000-0001-9281-2556 Journal name Remote Sensing of Environment Volume number 109 Issue number 4 Start page 406 End page 415 Total pages 10 Publisher ELSEVIER SCIENCE INC Publication date 2007-08-30 ISSN 0034-4257 1879-0704 Keyword(s) Science & Technology Life Sciences & Biomedicine Technology Environmental Sciences Remote Sensing Imaging Science & Photographic Technology Environmental Sciences & Ecology feature selection hyperspectral data pattern recognition tropical dry forest wavelet energy feature vector Panama OPTICAL-PROPERTIES CLASSIFICATION VARIABILITY PATTERNS SUN Language eng DOI 10.1016/j.rse.2007.01.012 Indigenous content off Field of Research 0406 Physical Geography and Environmental Geoscience 0909 Geomatic Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30138378 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 08 Jun 2020, 14:32:34 EST Tue, 09 Jun 2020, 05:02:03 EST Tue, 09 Jun 2020, 06:05:06 EST Thu, 22 Oct 2020, 08:42:49 EST Thu, 22 Oct 2020, 08:43:47 EST Thu, 22 Oct 2020, 14:53:55 EST Filtered Full Citation counts:   Cited 65 times in TR Web of Science Cited 68 times in Scopus Search Google Scholar Access Statistics: 80 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 08 Jun 2020, 14:32:34 EST

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