Recognization of rice damage area on UAV ortho-images

The following research uses Yuanli Township, Miaoli County as an example. The Multi-spectral UAV aerial images used have high spectral, spatial and temporal definition, which provides High-resolution DEM, which can be applied through height bias to recognize the rice damage Range and type. Furthermo...

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Bibliographic Details
Published in2018 IEEE International Conference on Applied System Invention (ICASI) pp. 1092 - 1094
Main Authors Hsuan, Wu Ching, Hao, Liang Sheng, Kuo, Yeh Ching
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2018
Subjects
Agriculture
Manuals
Meteorology
Monitoring
NDVI
Photography
Remote sensing UAV
Satellites
Vegetation mapping
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Summary:The following research uses Yuanli Township, Miaoli County as an example. The Multi-spectral UAV aerial images used have high spectral, spatial and temporal definition, which provides High-resolution DEM, which can be applied through height bias to recognize the rice damage Range and type. Furthermore, due to the chlorophyll in the crops having higher NIR reflection, when applied with NDVI, the crop growth range and stadium can be clearly explained more easily. The image processing technique is done by Pix4D and e-GPS measure Ground Control Points to produce a RGB Orthomosaic and NIR Orthomosaic, then using Arc gis to produce interpretation attribute data which is then derived through MATLAB input range values. The result of rice damage will be interpretated by using NDVI images as a major factor and human judgement as a supporting factor.
DOI:10.1109/ICASI.2018.8394470