Fuzzy analysis of airborne LiDAR data for rainforest boundary determination

Zhang, Zhenyu and Liu, Xiaoye and McDougall, Kevin and Wright, Wendy (2017) Fuzzy analysis of airborne LiDAR data for rainforest boundary determination. In: 6th International Conference on Telecommunications and Remote Sensing (ICTRS'17) , 06-07 Nov 2017, Delft, Netherlands.

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Abstract

Airborne LiDAR data have advantages over passive remote
sensing data in detailed description of vertical forest structure. LiDAR-derived information can potentially be used to solve such problems as forest type classification and forest boundary determination. Forest boundaries were usually represented as sharp lines that attempt to distinguish areas with different forest types. In reality, however, forest boundaries are rarely sharp or
crisp, especially in the forest area with multiple canopy layers where species compositions change gradually. Fuzzy analysis offers great potential for characterising the transition zones and determining realistic forest boundaries. This study developed ways of using fuzzy analysis of airborne LiDAR data for determining rainforest boundaries. LiDAR variables were derived
and used to define and calculate membership function values for both rainforest and non-rainforest. The confusion index values were then derived to illustrate the transition zones. Finally, the rainforest boundaries were successfully determined in the study area. The results demonstrated the success of proposed method
for rainforest boundary determination.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Date Deposited: 14 Sep 2018 05:40
Last Modified: 19 Sep 2018 05:14
Uncontrolled Keywords: LiDAR, laser scanning, fuzzy logic, rainforest, forest classification
Fields of Research : 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
Socio-Economic Objective: D Environment > 96 Environment > 9605 Ecosystem Assessment and Management > 960505 Ecosystem Assessment and Management of Forest and Woodlands Environments
Identification Number or DOI: 10.1145/3152808.3152816
URI: http://eprints.usq.edu.au/id/eprint/33599

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