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http://dx.doi.org/10.7780/kjrs.2016.32.5.7

Selection of Optimal Vegetation Indices for Estimation of Barley & Wheat Growth based on Remote Sensing - An Application of Unmanned Aerial Vehicle and Field Investigation Data -  

Na, Sang-il (National Institute of Agricultural Sciences, Rural Development Administration)
Park, Chan-won (National Institute of Agricultural Sciences, Rural Development Administration)
Cheong, Young-kuen (National Institute of Crop Science, Rural Development Administration)
Kang, Chon-sik (National Institute of Crop Science, Rural Development Administration)
Choi, In-bae (National Institute of Crop Science, Rural Development Administration)
Lee, Kyung-do (National Institute of Agricultural Sciences, Rural Development Administration)
Publication Information
Korean Journal of Remote Sensing / v.32, no.5, 2016 , pp. 483-497 More about this Journal
Abstract
Unmanned Aerial Vehicle (UAV) imagery are being assessed for analyzing within field spatial variability for agricultural precision management, because UAV imagery may be acquired quickly during critical periods of rapid crop growth. This study refers to the derivation of barley and wheat growth prediction equation by using UAV derived vegetation index. UAV imagery was taken on the test plots six times from late February to late June during the barley and wheat growing season. The field spectral reflectance during growing period for the 5 variety (Keunal-bori, Huinchalssal-bori, Saechalssal-bori, Keumkang and Jopum) were measured using ground spectroradiometer and three growth parameters, including plant height, shoot dry weight and number of tiller were investigated for each ground survey. Among the 6 Vegetation Indices (VI), the RVI, NDVI, NGRDI and GLI between measured and image derived showed high relationship with the coefficient of determination respectively. Using the field investigation data, the vegetation indices regression curves were derived, and the growth parameters were tried to compare with the VIs value.
Keywords
Unmanned Aerial Vehicle(UAV); barley; wheat; vegetation indices;
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Times Cited By KSCI : 6  (Citation Analysis)
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