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Object-Based Approach Using Very High Spatial Resolution 16-Band WorldView-3 and LiDAR Data for Tree Species Classification in a Broadleaf Forest in Quebec, Canada.

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Title: Object-Based Approach Using Very High Spatial Resolution 16-Band WorldView-3 and LiDAR Data for Tree Species Classification in a Broadleaf Forest in Quebec, Canada.
Authors: Varin, Mathieu1 (AUTHOR) b.chalghaf@cerfo.qc.ca, Chalghaf, Bilel1 (AUTHOR), Joanisse, Gilles1 (AUTHOR)
Source: Remote Sensing. Sep2020, Vol. 12 Issue 18, p3092. 1p.
Database: Academic Search Ultimate
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  Data: Object-Based Approach Using Very High Spatial Resolution 16-Band WorldView-3 and LiDAR Data for Tree Species Classification in a Broadleaf Forest in Quebec, Canada.
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  Data: <searchLink fieldCode="AR" term="%22Varin%2C+Mathieu%22">Varin, Mathieu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> b.chalghaf@cerfo.qc.ca</i><br /><searchLink fieldCode="AR" term="%22Chalghaf%2C+Bilel%22">Chalghaf, Bilel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Joanisse%2C+Gilles%22">Joanisse, Gilles</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Sep2020, Vol. 12 Issue 18, p3092. 1p.
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        Value: 10.3390/rs12183092
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      – Code: eng
        Text: English
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      – TitleFull: Object-Based Approach Using Very High Spatial Resolution 16-Band WorldView-3 and LiDAR Data for Tree Species Classification in a Broadleaf Forest in Quebec, Canada.
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