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Sensitivity analysis of C- and Ku-band synthetic aperture radar data to soil moisture content in a semiarid region.

机译:C波段和Ku波段合成孔径雷达数据对半干旱地区土壤水分含量的敏感性分析。

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摘要

In this study, the sensitivity of the C-band (5.3 GHz) with a 23{dollar}spcirc{dollar} incidence angle and the Ku-band (14.85 GHz) with 35{dollar}spcirc , 55spcirc ,{dollar} and 75{dollar}spcirc{dollar} incidence angles to surface soil moisture content from a semiarid region were evaluated. To obtain an improved soil moisture estimation, a practical technique to reduce the influence of soil roughness and vegetation in the SAR data was developed in a study area located in the Walnut Gulch Experimental Watershed, a representative site of shrub- and grass-dominated rangelands of the southwestern part of the United States. To correct for soil roughness effects, the C-band radar backscattering coefficients {dollar}sigmaspcirc{dollar} from a wet season image were subtracted from {dollar}sigmaspcirc{dollar} derived from a dry season image. The assumption was that, in semiarid regions, the SAR data from the dry season was dependent only on the soil roughness effects. To correct for vegetation effects, an empirical relation between {dollar}sigmaspcirc{dollar} and leaf area index was used, the latter derived from Landsat Thematic Mapper data. The results showed that when both soil roughness and vegetation effects were corrected for, the sensitivity of {dollar}sigmaspcirc{dollar} to soil moisture improved substantially.; The sensitivity of {dollar}sigmaspcirc{dollar} to soil moisture was also evaluated in agricultural fields with bare soil and periodic roughness components (planting row and furrow structures). Four types of SAR system configurations were analyzed: C-band with a 23{dollar}spcirc{dollar} incidence angle and Ku-band with 35{dollar}spcirc , 55spcirc ,{dollar} and 75{dollar}spcirc{dollar} incidence angles. The test sites were located at the University of Arizona's Maricopa Agricultural Center, south of Phoenix, Arizona. The results showed that the sensitivity of {dollar}sigmaspcirc{dollar} to soil moisture was strongly dependent upon the field conditions. The SAR signal was nearly insensitive to soil moisture for furrowed fields (furrow spacing {dollar}sim{dollar}95 cm; amplitude {dollar}sim{dollar}22 cm), but for fields with planting row structures (row spacing {dollar}sim{dollar}24 cm; amplitude {dollar}sim{dollar}2 cm), the SAR data was sensitive to soil moisture, particularly with the C-band at a 23{dollar}spcirc{dollar} incidence angle and the Ku-band with a 35{dollar}spcirc{dollar} incidence angle, regardless of the row direction.
机译:在这项研究中,入射角为23 {的C波段(5.3 GHz)和入射角为35 {,55 spcirc,{和75的Ku波段(14.85 GHz)的灵敏度。评价了半干旱地区土壤表面水分的入射角。为了获得更好的土壤水分估算,在位于核桃谷实验流域的一个研究区开发了一种减少土壤粗糙度和植被对SAR数据影响的实用技术,该地区是灌木和草为主的牧场的典型代表。美国西南部。为了校正土壤粗糙度的影响,从干旱季节图像推导出的C波段雷达后向散射系数{dollar} sigmaspcirc {dollar}中减去。假设是,在半干旱地区,干旱季节的SAR数据仅取决于土壤粗糙度的影响。为了校正植被影响,使用了{sigmaspcirc {dollar}与叶面积指数之间的经验关系,后者来自Landsat Thematic Mapper数据。结果表明,当同时校正土壤粗糙度和植被影响时,西格玛圈对土壤水分的敏感性大大提高。还评估了土壤裸露且具有周期性粗糙成分(种植行和犁沟结构)的农田中{sigmaspcirc {dollar}对土壤水分的敏感性。分析了四种类型的SAR系统配置:入射角为23 {的C波段和入射角为35sp,55 circ和75 Ku的Ku波段。角度。测试地点位于亚利桑那州凤凰城南部的亚利桑那大学马里科帕农业中心。结果表明,美元对土壤水分的敏感性强烈取决于田间条件。对于犁fields田(犁spacing间距{dol}} {dollar} 95 cm;幅度{dollar} sim {dollar} 22 cm),SAR信号几乎对土壤水分不敏感,但对于种植行结构(行间距{dollar} sim {dollar} 24 cm;幅度{dollar} sim {dollar} 2 cm),SAR数据对土壤水分敏感,尤其是在C波段入射角为23spdol {dollar}和Ku-不管行方向如何,入射角均为35 {sp}的带。

著录项

  • 作者

    Sano, Edson Eyji.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Environmental Sciences.; Remote Sensing.; Agriculture Soil Science.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 122 p.
  • 总页数 122
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境科学基础理论;遥感技术;土壤学;
  • 关键词

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