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http://dx.doi.org/10.22640/lxsiri.2017.47.1.15

The Analysis of Evergreen Tree Area Using UAV-based Vegetation Index  

Lee, Geun-Sang (Department of Cadastre & Civil Engineering, Vision College of Jeonju)
Publication Information
Journal of Cadastre & Land InformatiX / v.47, no.1, 2017 , pp. 15-26 More about this Journal
Abstract
The decrease of green space according to the urbanization has caused many environmental problems as the destruction of habitat, air pollution, heat island effect. With interest growing in natural view recently, proper management of evergreen tree which is lived even the winter season has been on the rise importantly. This study analyzed the distribution area of evergreen tree using vegetation index based on unmanned aerial vehicle (UAV). Firstly, RGB and NIR+RG camera were loaded in fixed-wing UAV and image mosaic was achieved using GCPs based on Pix4d SW. And normalized differences vegetation index (NDVI) and soil adjusted vegetation index (SAVI) was calculated by band math function from acquired ortho mosaic image. validation points were applied to evaluate accuracy of the distribution of evergreen tree for each range value and analysis showed that kappa coefficient marked the highest as 0.822 and 0.816 respectively in "NDVI > 0.5" and "SAVI > 0.7". The area of evergreen tree in "NDVI > 0.5" and "SAVI > 0.7" was $11,824m^2$ and $15,648m^2$ respectively, that was ratio of 4.8% and 6.3% compared to total area. It was judged that UAV could supply the latest and high resolution information to vegetation works as urban environment, air pollution, climate change, and heat island effect.
Keywords
UAV; Evergreen Tree; Normalized Difference Vegetation Index; Soil Adjusted Vegetation Index;
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Times Cited By KSCI : 8  (Citation Analysis)
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