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http://dx.doi.org/10.7780/kjrs.2012.28.5.4

Estimating Rice Yield Using MODIS NDVI and Meteorological Data in Korea  

Hong, Suk Young (National Academy of Agricultural Science (NAAS), RDA)
Hur, Jina (Division of Earth Environmental System, Pusan National University)
Ahn, Joong-Bae (Division of Earth Environmental System, Pusan National University)
Lee, Jee-Min (B&T Solutions)
Min, Byoung-Keol (B&T Solutions)
Lee, Chung-Kuen (National Institutel of Crop Science (NICS), RDA)
Kim, Yihyun (National Academy of Agricultural Science (NAAS), RDA)
Lee, Kyung Do (National Academy of Agricultural Science (NAAS), RDA)
Kim, Sun-Hwa (National Academy of Agricultural Science (NAAS), RDA)
Kim, Gun Yeob (National Academy of Agricultural Science (NAAS), RDA)
Shim, Kyo Moon (National Academy of Agricultural Science (NAAS), RDA)
Publication Information
Korean Journal of Remote Sensing / v.28, no.5, 2012 , pp. 509-520 More about this Journal
Abstract
The objective of this study was to estimate rice yield in Korea using satellite and meteorological data such as sunshine hours or solar radiation, and rainfall. Terra and Aqua MODIS (The MOderate Resolution Imaging Spectroradiometer) products; MOD13 and MYD13 for NDVI and EVI, MOD15 and MYD15 for LAI, respectively from a NASA web site were used. Relations of NDVI, EVI, and LAI obtained in July and August from 2000 to 2011 with rice yield were investigated to find informative days for rice yield estimation. Weather data of rainfall and sunshine hours (climate data 1) or solar radiation (climate data 2) were selected to correlate rice yield. Aqua NDVI at DOY 233 was chosen to represent maximum vegetative growth of rice canopy. Sunshine hours and solar radiation during rice ripening stage were selected to represent climate condition. Multiple regression based on MODIS NDVI and sunshine hours or solar radiation were conducted to estimate rice yields in Korea. The results showed rice yield of $494.6kg\;10a^{-1}$ and $509.7kg\;10a^{-1}$ in 2011, respectively and the difference from statistics were $1.1kg\;10a^{-1}$ and $14.1kg\;10a^{-1}$, respectively. Rice yield distributions from 2002 to 2011 were presented to show spatial variability in the country.
Keywords
Rice yield; Remote sensing; MODIS NDVI; Solar radiation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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