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http://dx.doi.org/10.5532/KJAFM.2011.13.2.069

Detection of Irrigation Timing and the Mapping of Paddy Cover in Korea Using MODIS Images Data  

Jeong, Seung-Taek (Department of Environmental Science, Kangwon National University)
Jang, Keun-Chang (Department of Environmental Science, Kangwon National University)
Hong, Seok-Yeong (Department of Soil&fertilizer, National Academy of Agriculture Science)
Kang, Sin-Kyu (Department of Environmental Science, Kangwon National University)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.13, no.2, 2011 , pp. 69-78 More about this Journal
Abstract
Rice is one of the world's staple foods. Paddy rice fields have unique biophysical characteristics that the rice is grown on flooded soils unlike other crops. Information on the spatial distribution of paddy fields and the timing of irrigation are of importance to determine hydrological balance and efficiency of water resource management. In this paper, we detected the timing of irrigation and spatial distribution of paddy fields using the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the NASA EOS Aqua satellite. The timing of irrigation was detected by the combined use of MODIS-based vegetation index and Land Surface Water Index (LSWI). The detected timing of irrigation showed good agreement with field observations from two flux sites in Korea and Japan. Based on the irrigation detection, a land cover map of paddy fields was generated with subsidiary information on seasonal patterns of MODIS enhanced vegetation index (EVI). When the MODISbased paddy field map was compared with a land cover map from the Ministry of Environment, Korea, it overestimated the regions with large paddies but underestimated those with small and fragmented paddies. Potential reasons for such spatial discrepancies may be attributed to coarse pixel resolution (500 m) of MODIS images, uncertainty in parameterization of threshold values for discarding forest and water pixels, and the application of LSWI threshold value developed for paddy fields in China. Nevertheless, this study showed that an improved utilization of seasonal patterns of MODIS vegetation and water-related indices could be applied in water resource management and enhanced estimation of evapotranspiration from paddy fields.
Keywords
MODIS; Rice paddy; Irrigation; Mapping; Vegetation Index;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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