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http://dx.doi.org/10.5389/KSAE.2022.64.1.051

Classification of Summer Paddy and Winter Cropping Fields Using Sentinel-2 Images  

Hong, Joo-Pyo (Department of Rural Systems Engineering, Seoul National University)
Jang, Seong-Ju (Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University)
Park, Jin-Seok (Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University)
Shin, Hyung-Jin (Rural Research Institute, Korea Rural Community Corporation)
Song, In-Hong (Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Research Institute of Agriculture and Life Sciences, Seoul National University)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.64, no.1, 2022 , pp. 51-63 More about this Journal
Abstract
Up-to-date statistics of crop cultivation status is essential for farm land management planning and the advancement in remote sensing technology allows for rapid update of farming information. The objective of this study was to develop a classification model of rice paddy or winter crop fields based on NDWI, NDVI, and HSV indices using Sentinel-2 satellite images. The 18 locations in central Korea were selected as target areas and photographed once for each during summer and winter with a eBee drone to identify ground truth crop cultivation. The NDWI was used to classify summer paddy fields, while the NDVI and HSV were used and compared in identification of winter crop cultivation areas. The summer paddy field classification with the criteria of -0.195
Keywords
Sentienl-2; winter crop; paddy; NDWI; NDVI; HSV;
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Times Cited By KSCI : 13  (Citation Analysis)
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