Agricultural field observation by space and airborne polarimetric L-band SAR data
Agricultural field observation by space and airborne polarimetric L-band SAR data
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DOI：
10.1109/igarss.2015.7326698
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发表时间：
2015-07
期刊：
影响因子：
--
通讯作者：
C. Yonezawa;Manabu Watanabe
中科院分区：
文献类型：
--
作者：
C. Yonezawa;Manabu Watanabe
对当天获得的星载和机载L全极化合成孔径雷达数据进行了分析。目标区域是农田，包括成熟阶段的稻田，这些农田在三年前的海啸中遭到严重破坏。在一些田地中发现了水稻倒伏。进行了三分量、四分量分解和特征值-特征向量分解分析。在水田上，主要成分是双反射散射。在PI-SAR-L2数据中，含倒伏稻田的体积散射率大于非倒伏稻田。在大豆、杂草和裸土上，表面散射在四组分的分解中占主导地位。在特征值-特征向量分解中，用一个α角阈值将水田和其他田块分开。虽然PALSAR-2和PI-SAR-L2数据的表现几乎相似，但仍发现了细微的差异。L波段的SAR适合于这个季节的稻田提取。
Full polarimetric space- and air-borne L-band SAR data acquired on the same day were analyzed. The target areas were agricultural fields, including paddy in the maturation stage, that were severely damaged by a tsunami three years earlier. Lodging of paddy was found in some fields. Three-and four-component decomposition and eigenvalue-eigenvector decomposition analysis were performed. On paddy fields, the dominant component was double-bounce scattering. Paddy fields including lodged paddy showed larger volume scattering ratio than paddy fields without lodged paddy in Pi-SAR-L2 data. On soybean, weed, and bare-soil fields, surface scattering was dominant in a four-component decomposition. Paddy field and other fields were separated by a threshold of alpha angle in the eigenvalue-eigenvector decomposition. Subtle differences were found although PALSAR-2 and Pi-SAR-L2 data behaved almost similarly. L-band SAR is suitable for rice field extraction during this season.