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DETECTION ACCURACY OF WATERLOGGED PADDY FIELDS USING WIDE FINE MODE OF RADARSAT-2

机译:RADARSAT-2精细模式对淹水稻田的探测精度

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RADARSAT-2 starts Wide Fine mode observation in 2011. Wide Fine mode of RADARSAT-2 can observe 150km by 170km with highly spatial resolution (spatial resolution 15.2-8.2m by 7.7m). Moreover this mode has high cost performance; cost per area is about one fifth of Fine mode. I tried to detect waterlogged paddy fields using the Wide Fine observation mode, and evaluate accuracy. As a result lowest detection overall accuracy was 68.2% in Fukushima prefecture. Against highest detection accuracy was 80.4% in Ibaraki prefecture. Detection accuracy of Wide Fine mode is somewhat lower than Fine mode. It is a natural result. However, in 2011, transplanting activity was unusual because influence of huge earthquake, tsunami and Fukushima Daiichi nuclear disaster. Therefore this lower accuracy influenced not only spatial resolution but also these disasters. It is consider that Wide Fine mode of RADARSAT-2 is useful for detection of waterlogged paddy fields.
机译:RADARSAT-2于2011年开始进行“宽精细”模式观测。“ RADARSAT-2”的“宽精细”模式可以观测150km x 170km的高空间分辨率(空间分辨率为15.2-8.2m x 7.7m)。此外,这种模式具有很高的性价比。单位面积成本约为精细模式的五分之一。我尝试使用Wide Fine观测模式检测浸水的稻田,并评估准确性。结果,福岛县的最低检测总体准确性为68.2%。茨城县的最高检测精度为80.4%。宽精细模式的检测精度略低于精细模式。这是自然的结果。但是,由于大地震,海啸和福岛第一核灾难的影响,2011年的移植活动异常。因此,这种较低的精度不仅影响空间分辨率,还影响这些灾难。可以认为,RADARSAT-2的“宽精细”模式可用于检测淹水的稻田。

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