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Abstract
This study compared differences in the shooting and pre-processing techniques between manned and unmanned aerial images, and verified the precision of the images by comparing the ground sample distance between them. GSD of manned aerial image taken at high altitude could not discern tree shapes from 150 cm per pixel, but unmanned aerial image taken at low altitude (200 m) could distinguish trees individually with 30 cm per pixel. It, therefore, found that it is efficient and economically effective to produce unmanned hyperspectral images within the large-area mixed heritage. In addition, the unmanned aerial images have lower atmospheric errors and the ground sample distance that is high enough to distinguish individual trees, so they were found to be applied to the monitoring and the diagnosis for understanding the vegetation management and the health of the large-area mixed heritage.
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Details
1 Graduate School of Cultural Heritage, Korea National University of Cultural Heritage, South Korea; Graduate School of Cultural Heritage, Korea National University of Cultural Heritage, South Korea
2 Korea National University of Cultural Heritage, South Korea; Korea National University of Cultural Heritage, South Korea
3 Hyperspectral Strategic Team, GEOSTORY Co. Ltd, South Korea; Hyperspectral Strategic Team, GEOSTORY Co. Ltd, South Korea