• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>other >Analysis of the Dielectric Constant of Saline-Alkali Soils and the Effect on Radar Backscattering Coefficient: A Case Study of Soda Alkaline Saline Soils in Western Jilin Province Using RADARSAT-2 Data
【2h】

Analysis of the Dielectric Constant of Saline-Alkali Soils and the Effect on Radar Backscattering Coefficient: A Case Study of Soda Alkaline Saline Soils in Western Jilin Province Using RADARSAT-2 Data

机译：盐碱土介电常数及其对雷达后向散射系数的影响分析-以吉林省西部苏打碱土为例基于RADARSAT-2数据

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Soil salinity is a global problem, especially in developing countries, which affects the environment and productivity of agriculture areas. Salt has a significant effect on the complex dielectric constant of wet soil. However, there is no suitable model to describe the variation in the backscattering coefficient due to changes in soil salinity content. The purpose of this paper is to use backscattering models to understand behaviors of the backscattering coefficient in saline soils based on the analysis of its dielectric constant. The effects of moisture and salinity on the dielectric constant by combined Dobson mixing model and seawater dielectric constant model are analyzed, and the backscattering coefficient is then simulated using the AIEM. Simultaneously, laboratory measurements were performed on ground samples. The frequency effect of the laboratory results was not the same as the simulated results. The frequency dependence of the ionic conductivity of an electrolyte solution is influenced by the ion's components. Finally, the simulated backscattering coefficients measured from the dielectric constant with the AIEM were analyzed using the extracted backscattering coefficient from the RADARSAT-2 image. The results show that RADARSAT-2 is potentially able to measure soil salinity; however, the mixed pixel problem needs to be more thoroughly considered.
机译：土壤盐分是一个全球性问题，尤其是在发展中国家，这会影响农业地区的环境和生产力。盐对湿土的复介电常数有重要影响。但是，由于土壤盐分含量的变化，没有合适的模型来描述后向散射系数的变化。本文的目的是使用反向散射模型，通过分析其介电常数来了解盐土中的反向散射系数的行为。通过结合Dobson混合模型和海水介电常数模型分析了水分和盐度对介电常数的影响，然后利用AIEM模拟了反向散射系数。同时，对地面样品进行了实验室测量。实验室结果的频率效应与模拟结果不同。电解质溶液的离子电导率的频率依赖性受离子成分的影响。最后，使用从RADARSAT-2图像中提取的反向散射系数，对由AIEM用介电常数测得的模拟反向散射系数进行了分析。结果表明，RADARSAT-2具有测量土壤盐分的潜力。但是，需要更全面地考虑混合像素问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号