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Article

Mapping Paddy Fields in Japan by Using a Sentinel-1 SAR Time Series Supplemented by Sentinel-2 Images on Google Earth Engine

1
Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
2
Graduate School of Agricultural Science, Tohoku University, 468-1 Aoba, Aramaki, Aoba-ku, Sendai, Miyagi 980-8572, Japan
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(10), 1622; https://doi.org/10.3390/rs12101622
Received: 27 April 2020 / Revised: 14 May 2020 / Accepted: 18 May 2020 / Published: 19 May 2020
Paddy fields play very important environmental roles in food security, water resource management, biodiversity conservation, and climate change. Therefore, reliable broad-scale paddy field maps are essential for understanding these issues related to rice and paddy fields. Here, we propose a novel paddy field mapping method that uses Sentinel-1 synthetic aperture radar (SAR) time series that are robust for cloud cover, supplemented by Sentinel-2 optical images that are more reliable than SAR data for extracting irrigated paddy fields. Paddy fields were provisionally specified by using the Sentinel-1 SAR data and a conventional decision tree method. Then, an additional mask using water and vegetation indexes based on Sentinel-2 optical images was overlaid to remove non-paddy field areas. We used the proposed method to develop a paddy field map for Japan in 2018 with a 30 m spatial resolution. The producer’s accuracy of this map (92.4%) for non-paddy reference agricultural fields was much higher than that of a map developed by the conventional method (57.0%) using only Sentinel-1 data. Our proposed method also reproduced paddy field areas at the prefecture scale better than existing paddy field maps developed by a remote sensing approach. View Full-Text
Keywords: paddy field; Sentinel-1; Sentinel-2; Google Earth Engine; decision tree paddy field; Sentinel-1; Sentinel-2; Google Earth Engine; decision tree
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MDPI and ACS Style

Inoue, S.; Ito, A.; Yonezawa, C. Mapping Paddy Fields in Japan by Using a Sentinel-1 SAR Time Series Supplemented by Sentinel-2 Images on Google Earth Engine. Remote Sens. 2020, 12, 1622. https://doi.org/10.3390/rs12101622

AMA Style

Inoue S, Ito A, Yonezawa C. Mapping Paddy Fields in Japan by Using a Sentinel-1 SAR Time Series Supplemented by Sentinel-2 Images on Google Earth Engine. Remote Sensing. 2020; 12(10):1622. https://doi.org/10.3390/rs12101622

Chicago/Turabian Style

Inoue, Shimpei; Ito, Akihiko; Yonezawa, Chinatsu. 2020. "Mapping Paddy Fields in Japan by Using a Sentinel-1 SAR Time Series Supplemented by Sentinel-2 Images on Google Earth Engine" Remote Sens. 12, no. 10: 1622. https://doi.org/10.3390/rs12101622

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