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BACKSCATTER CHANGE INDEX OF ENVISAT ASAR DATA FOR RICE FIELD MAPPING IN FUZHOU, FUJIAN PROVINCE

机译:福建省福州富州稻田映射米斯特菌数据的反向散射变化指数

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This paper investigates the potential of ENVISAT ASAR data for rice crop mapping in Fujian Province, where the agricultural fields are cracked. The ASAR data with VV and HH polarization acquired between two acquisition dates over the whole rice growth season were used. The study area is located in Fuzhou, Fujian province, China. After analysis the backscatters of VV and HH polarization in the two dates during each rice growth season, a backscatter change index (BSCI) combining the VV and HH backscatters of the two dates was calculated. The BSCI value of rice field is much higher than those of other land covers. A method using the BSCI was proposed, which was a fast rice crop mapping method. The accuracy of rice field mapping in three rice seasons was all promising high.
机译:本文调查了福建省稻田测绘的Envisat Asar数据的潜力,农业领域被破裂。使用了在整个水稻生长季节的两个采集日期之间获取的VV和HH偏振的ASAR数据。该研究区位于中国福建福州。在分析每个水稻生长季节期间VV和HH偏振的反向拍摄机之后,计算了两个日期的VV和HH后拍的反向散射变化指数(BSCI)。稻田的BSCI值远高于其他土地覆盖物。提出了一种使用BSCI的方法,这是一种快速稻米作物测绘方法。三种稻田稻田测绘的准确性都很高。

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