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Article citations


Wallace, L. (2013) Assessing the Stability of Canopy Maps Produced from UAV-LiDAR Data. Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, 21-26 July 2013, 3879-3882. http://dx.doi.org/10.1109/IGARSS.2013.6723679

has been cited by the following article:

  • TITLE: Review of Effective Vegetation Mapping Using the UAV (Unmanned Aerial Vehicle) Method

    AUTHORS: Korehisa Kaneko, Seiich Nohara

    KEYWORDS: UAV (Unmanned Aerial Vehicle), Vegetation Map, High Spatial Resolution, Plant Community, Plant Species

    JOURNAL NAME: Journal of Geographic Information System, Vol.6 No.6, December 29, 2014

    ABSTRACT: We tried more precise mapping of vegetation using UAV(unmanned aerial vehicle), as a new method of creating vegetation maps, and weobjected to be clearly the efficient mapping of vegetation using the UAV method by comparing vegetation maps created by analysing aerial photographs taken by a UAV and an aircraft (manned flight). The aerial photography using UAV was conducted in the Niida River estuary (the secondary river flowing into Minamisoma City in Fukushima Prefecture, Japan). The photography period was in August 2013. We analysed the aerial photographs using ArcGis 9 (Esri Japan Corporation, Tokyo, Japan). The aerial photographs of the main plant communities (Phragmites australis,Typha domingensis, andMiscanthus sacchariflorus) taken by the UAV could clearly discriminate each plant community at the 1/50 scale. Moreover, it could clearly discriminate the shape of a plant at the 1/10 scale. We compared the vegetation maps by analysing the aerial photos taken by a UAV (2013 shooting) and an aircraft (2011 shooting). As a result, the vegetation map created by the UAV method could clearly discriminate community distributions. We conclude that vegetation surveys using UAV are possible and are capable of a highly precise community division in places where field reconnaissance is difficult. The UAV method is effective and will contribute to the improvement of research methods in the future; this method may reduce research costs associated with a reduction in field survey days and man-power.