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首页> 外文会议>9th International Space Conference of Pacific Basin Societies, Nov 14-16, 2001, Pasadena, California, U.S.A. >AREA DETERMINATION OF RICE PADDY USING SATELLITE SAR DATA
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AREA DETERMINATION OF RICE PADDY USING SATELLITE SAR DATA

机译：利用卫星SAR数据确定水稻的面积

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摘要

Every year, the agricultural statistics section of the Japanese government announces rice planting paddy area and rice yield per hectare (ha). Presently, the rice planting paddy area is detected based on field surveys by human power. The Japanese government wants to determine the rice planting paddy area using remote sensing. Already, several results have come out using optical satellites. However, Japan has a rainy-season at crop growing time. It is difficult to observe a paddy every year. Synthetic Aperture Radar (SAR) can observe the earth's surface without influence of clouds. We are developing a determination method of the rice planting paddy area using RADARSAT/SAR. The paddy fields are filled with water during the rice-planting period. Almost microwave of SAR reflects on the water surface the same as on mirror, called 'mirror reflection'. This phenomenon makes backscatter of SAR a small value at the water-covered place. In paddy fields, backscatter is very low by mirror reflection at transplanting time, and volumetric scatter increases with the growth. We develop the methods using this characteristic. Our study area was the Saga plain in southeast Japan. We used two RADAR-SAT images, 02/July/2000 and 27/July/2000. Two scenes were acquired in the same mode. The image of 02/July was the ending rice transplanting time. 27/July was the season of rice growth, and backscatter of RADARSAT was increased in rice paddy fields. We developed the determination method of rice planting paddy field, that was "water area of 02/July minus that of 27/July". The accuracy of the estimation was 97.8% in the aggregate, and the accuracy of each municipality was distributed between 25.8 and 120.9. The accuracy was lower in the municipalities facing a mountainous region than for flat plains. Their municipalities were influenced by fore-shortening and lay over phenomena, and the position errors of two scenes had affects at calculation of two scenes. We corrected these errors using geometrical correction by DEM, and we applied the possibility area map of paddy fields made from the digital map to get greater accuracy.
机译：每年，日本政府的农业统计部门都会宣布水稻种植面积和每公顷水稻产量。目前，基于人力的田间调查来检测稻谷种植面积。日本政府希望通过遥感技术确定水稻种植区。使用光学卫星已经获得了一些结果。但是，日本农作物生长季节处于雨季。每年很难观察到一个稻谷。合成孔径雷达（SAR）可以观测地球表面而不受云的影响。我们正在开发使用RADARSAT / SAR的水稻种植面积的测定方法。水稻种植期间稻田里充满了水。 SAR的几乎微波在水面上的反射与镜面相同，称为“镜面反射”。这种现象使SAR的反向散射在积水的地方很小。在稻田中，在移植时由于镜面反射而导致的背向散射非常低，并且体积散射随生长而增加。我们利用这一特征开发了方法。我们的研究区域是日本东南部的佐贺平原。我们使用了两个RADAR-SAT图像：2000年7月2日和2000年7月27日。以相同模式获取了两个场景。 7月2日的图像是水稻移植的结束时间。 7月27日是水稻生长的季节，稻田中RADARSAT的反向散射增加。我们开发了水稻种植田的测定方法，即“ 02/7月的水面积减去27/7月的水面积”。估计的准确性总计为97.8％，每个城市的准确性分布在25.8和120.9之间。面对山区的直辖市的准确性低于平原。他们的自治市受到短缩和重叠现象的影响，并且两个场景的位置误差影响了两个场景的计算。我们使用DEM进行几何校正来校正这些错误，并应用了由数字地图制作的稻田的可能性区域地图，以获取更高的准确性。

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