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http://dx.doi.org/10.7780/kjrs.2022.38.6.1.18

Comparative Analysis of Pre-processing Method for Standardization of Multi-spectral Drone Images  

Ahn, Ho-Yong (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Ryu, Jae-Hyun (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Na, Sang-il (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Lee, Byung-mo (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Kim, Min-ji (Department of Spatial Information Engineering, Division of Earth Environmental System Science, Pukyong National University)
Lee, Kyung-do (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Publication Information
Korean Journal of Remote Sensing / v.38, no.6_1, 2022 , pp. 1219-1230 More about this Journal
Abstract
Multi-spectral drones in agricultural observation require quantitative and reliable data based on physical quantities such as radiance or reflectance in crop yield analysis. In the case of remote sensing data for crop monitoring, images taken in the same area over time-series are required. In particular, biophysical data such as leaf area index or chlorophyll are analyzed through time-series data under the same reference, it can be directly analyzed. So, comparable reflectance data are required. Orthoimagery using drone images, the entire image pixel values are distorted or there is a difference in pixel values at the junction boundary, which limits accurate physical quantity estimation. In this study, reflectance and vegetation index based on drone images were calculated according to the correction method of drone images for time-series crop monitoring. comparing the drone reflectance and ground measured data for spectral characteristics analysis.
Keywords
Drone; Reflectnace; NDVI; Multispectral camera;
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