Cassification of Sugi and Hinoki using high density airborne LiDAR data and two canopy shape parameters.-Reference-Cited by-同舟云学术

Cassification of Sugi and Hinoki using high density airborne LiDAR data and two canopy shape parameters.

Published:2017-12-27 Issue:1 Volume:51 Page:9-18
ISSN:0917-2017
Container-title:Japanese Journal of Forest Planning
language:en
Short-container-title:JFP

Author:

Awaya Yoshio¹,Kameta Chie²,Gotoh Seijiro³,Miyasaka Satoru⁴,Unome Sohta⁴

Affiliation:

1. River Basin Research Center, Gifu University

2. Former Faculty of Applied Biological Sciences, Gifu University

3. Former River Basin Research Center, Gifu University

4. Nakanihon Air Service Co., Ltd.

Publisher

Japan Society of Forest Planning

Subject

Geriatrics and Gerontology

Link

https://www.jstage.jst.go.jp/article/jjfp/51/1/51_9/_pdf

Reference9 articles.

1. Bork, E. W. and Su, J. G. (2007) Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis. Remote Sensing of Environment, 111 :1124.

2. Brandtberg, T. (1997) Towards structure-based classification of tree crowns in high spatial resolution aerial images. Scandinavian Journal of Forest Research, 12 : 8996.

3. Jensen, J. R. (2007) Remote sensing of the environment:An earth resource perspective. Pearson Education, NJ, USA, 592pp.

4. Kasper, J., Nicholas, C., Sarah, E., and Yulia, S. (2007) Application of high spatial resolution satellite imagery for riparian and forest ecosystem classification. Remote Sensing of Environment,110: 29-44.

5. Li, J., Hu, B. and Noland, T. L. (2013) Classification of tree species based on structural features derived from high density LiDAR data. Agricultural and Forest Meteorology, 171-172 : 104-114.

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