部分淹没农田合成孔径雷达极化后向散射特性研究

IF 3.7 4区 地球科学 Q2 REMOTE SENSING
Keisuke Hoshikawa, Porntip Phontusang, Roengsak Katawatin
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引用次数: 0

摘要

目前还缺乏一种根据水文学条件对水田进行分类的方法。本研究分析了在部分涝渍的旱作稻田中,合成孔径雷达(SAR)各极化后向散射系数和交叉极化比指数的变化规律。使用的SAR极化为c波段SAR Sentinel-1的VH和VV,以及l波段SAR Palsar-2的HV和HH。评价了影响水田涝渍条件的地形类型和局部相对高程与后向散射系数的关系。c波段的VV和l波段的HH和HV在不同的地形类别中表现出不同的时间序列变化模式。我们观察到l波段HH和HV的组合可以用来评估内涝状况,因为它们取决于当地海拔的变化。研究结果表明,未来的研究可以结合l波段HH和HV后向散射系数来评价微地形和相关的局部水文环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synthetic aperture radar polarised backscattering behaviour in partially inundated agricultural fields
A methodology for classifying rainfed paddy fields based on their hydrological conditions is lacking. This study analysed the behaviour of synthetic aperture radar (SAR) backscatter coefficients at each polarisation and cross-polarisation ratio index in a rainfed rice paddy field with a partially waterlogged surface. The SAR polarisations used were the VH and VV of the C-band SAR Sentinel-1 and the HV and HH of the L-band SAR Palsar-2. The relationship between backscatter coefficient and terrains including topographic categories and local relative elevation, which affect waterlogging conditions in rainfed paddy fields, were evaluated. The VV of C-band, and HH and HV of L-band showed different patterns in the time series variation according to the topographic categories. We observed that the combination of L-band HH and HV could be used to assess waterlogging conditions because they differ depending on variations in local elevation. The study results suggest that future studies can evaluate the microtopography and associated local hydrological environment using the combination of L-band HH and HV backscatter coefficient.
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来源期刊
CiteScore
7.00
自引率
2.50%
发文量
51
审稿时长
>12 weeks
期刊介绍: European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include: -land use/land cover -geology, earth and geoscience -agriculture and forestry -geography and landscape -ecology and environmental science -support to land management -hydrology and water resources -atmosphere and meteorology -oceanography -new sensor systems, missions and software/algorithms -pre processing/calibration -classifications -time series/change analysis -data integration/merging/fusion -image processing and analysis -modelling European Journal of Remote Sensing is a fully open access journal. This means all submitted articles will, if accepted, be available for anyone to read anywhere, at any time, immediately on publication. There are no charges for submission to this journal.
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