Investigation and analysis on current status of the tsunami-stricken coastal forest using high-resolution images prepared by unmanned aerial vehicle
Author:
Affiliation:
1. College of Bioresource Sciences, Nihon Univ.
2. Grad. Sch. of Urban Environmental Sciences, Tokyo Metropolitan Univ.
3. Ai-Shokubutsu Landscape Planning Office
4. Faculty of Science and Engineering, Chuo Univ.
Publisher
The Japanese Society of Revegetation Technology
Link
https://www.jstage.jst.go.jp/article/jjsrt/41/1/41_157/_pdf
Reference4 articles.
1. 3) Breckenridge, Robert P., Maxine Dakins, Stephen Bunting, Jerry L. Harbour, and Sera White (2011) Comparison of unmanned aerial vehicle platforms for assessing vegetation cover in sagebrush steppe ecosystems. Rangeland Ecology & Management, 64(5): 521-532.
2. 4) Feng, Quanlong, Jiantao Liu and Jianhua Gong (2015) UAV remote sensing for urban vegetation mapping using random forest and texture analysis. Remote Sensing, 7(1): 1074-1094.
3. 8) Ishihama, Fumiko, Yasuyuki Watabe and Hiroyuki Oguma (2012) Validation of a high-resolution, remotely operated aerial remote-sensing system for the identification of herbaceous plant species. Applied Vegetation Science, 15: 383-389.
4. 13) Kaneko, Korehisa and Seiich Nohara (2014) Review of effective vegetation mapping using the UAV (Unmanned Aerial Vehicle) method. J. Geographic Information System, 6: 733-742.
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