基于RADARSAT-2遥感影像的旱地作物散射特性研究

Zheng Sun, Di Wang, Qingbo Zhou
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引用次数: 0

摘要

旱地作物在中国有着悠久的种植历史。它们的种植范围很广,在粮食总产量中占很高的比例。快速准确地获取旱地作物种植面积,可以为农业生产管理者提供决策支持,为制定粮食政策提供依据,为国家粮食安全提供保障。与水稻生长初期不同,下垫水层与水稻植株形成明显的二面角,对微波产生较强的反向散射。旱地作物间作套种较为常见,种植结构复杂,识别难度较大。目前,缺乏对旱地作物散射特性的研究,识别方法的通用性也较差,导致基于SAR数据的旱地作物识别精度较低。研究旱地作物的散射特性及其随时间的变化,旨在为旱地作物的识别提供依据,提高分类精度。本文以河北省冀州市为研究区,以玉米和棉花为研究对象。使用2018年7月17日、8月7日和9月24日三个阶段的全极化RADARSAT -2数据。研究比较了不同目标分解方法(cloud - pottier、Freeman、Yamaguchi)下作物的基本散射特性(平均散射角、熵、体积散射、二面角散射、表面散射)的变化,分析了基本散射功率占比及其在不同生长阶段的变化趋势。结果表明:两种作物的反熵在整个生育期变化不大,主要由表面散射和体积散射组成;对于玉米,随着作物的生长,熵和平均散射角先增大后减小,表面散射功率占比从67%减小到48%后增大到55%,体积散射功率占比从33%增大到52%后减小到45%。8月7日,体积散射功率大于表面散射功率。对于棉花,随着作物生长熵和平均散射角的增大,表面散射功率的比例从66%下降到54%,体积散射功率的比例从33%上升到46%。在整个生长过程中,表面散射功率大于体积散射功率。本研究将有助于确定玉米和棉花的散射机理,并为其他旱地作物散射特性的研究提供参考。
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Study on Scattering Characteristics of Dryland Crops using Multi-temporal Polarimetric RADARSAT-2 Imagery
Dryland crops have a long planting history in China. They are planted in a wide range and account for a high proportion of the total grain output. Quick and accurate acquisition of Dryland Crop Planting area can provide decision support for agricultural production managers, provide basis for food policy formulation, and provide guarantee for national food security. Different from the initial stage of rice growth, the underlying surface water layer and rice plant can form obvious dihedral angle, which can produce strong backscatter to microwave. Intercropping and interplanting of dryland crops are common, and the planting structure is complex, so it is difficult to identify them. At present, there is a lack of research on scattering characteristics of Dryland crops, and the universality of recognition methods is also poor, which leads to the low accuracy of dry land crop recognition based on SAR data. The purpose of studying the scattering characteristics of dryland crops and their changes with time is to provide basis for the identification of dryland crops and improve the classification accuracy. This paper chooses Jizhou City, Hebei Province as the research area, and takes corn and cotton as the research objects. The full polarization RADARSAT -2 data of three phases in 2018 (July 17, August 7 and September 24) were used. The changes of basic scattering characteristics (average scattering angle, entropy, volume scattering, dihedral angle scattering, surface scattering) of crops with different target decomposition methods (Cloude-Pottier, Freeman, Yamaguchi) were studied and compared, and the proportion of basic scattering power and its changing trend at different growth stages were analyzed. The results showed that the counter-entropy of the two crops changed little in the whole growth period, and mainly consisted of surface scattering and volume scattering. For corn, with the growth of crops, the entropy and average scattering angle increased first and then decreased, the proportion of surface scattering power decreased from 67% to 48% and then increased to 55%, and the proportion of volume scattering power increased from 33% to 52% and then decreased to 45%. On August 7, the volume scattering power is greater than the surface scattering power. For cotton, with the increase of crop growth entropy and average scattering angle, the proportion of surface scattering power decreases from 66% to 54%, and the volume scattering power increases from 33% to 46%. The surface scattering power is larger than volume scattering in the whole growth period. This study will help to determine the scattering mechanism of corn and cotton, and provide reference for the study of scattering characteristics of other dryland crops.
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