Analysis of Relationship between Vegetation Indices and Crop Yield using KOMPSAT (KOreaMulti-Purpose SATellite)-2 Imagery and Field Investigation Data
2011
Lee, J.W., Konkuk University, Seoul, Republic of Korea | Park, G.A., Konkuk University, Seoul, Republic of Korea | Joh, H.K., Konkuk University, Seoul, Republic of Korea | Lee, K.H., Chungbuk National University, Cheongju, Republic of Korea | Na, S.I., Chungbuk National University, Cheongju, Republic of Korea | Park, J.H., Chungbuk National University, Cheongju, Republic of Korea | Kim, S.J., Konkuk University, Seoul, Republic of Korea
This study refers to the derivation of simple crop yield prediction equation by using KOMPSAT-2 derived vegetation index. For a 1.25 ha small farm area located in the middle part of South Korea, the KOMPSAT-2 panchromatic and multi-spectral images of 31th August 2008, 17th November 2008, and 10th September 2009 were used. The field spectral reflectance during growing period for the 6 crops (rice, potato, corn, red pepper, garlic, and bean) were measured using ground spectroradiometer and the yield was investigated. Among the 6 vegetation indices (VI), the NDVI and ARVI between measured and image derived showed high relationship with the coefficient of determination of 0.85 and 0.95 respectively. Using the 3 years field data, the NDVI and ARVI regression curves were derived, and the yields were tried to compare with the maximum VIs value.
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