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Analysis of passive microwave data for large area environmental monitoring.

机译:用于大面积环境监测的无源微波数据分析。

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摘要

Traditionally, "large area" monitoring from satellites has been accomplished using the Advanced Very High Resolution Radiometer (AVHRR), however, the use of this dataset can be significantly affected by the presence of cloud cover. The Special Sensor Microwave Imager (SSM/I) records microwave emissions from the Earth surface. Microwave emissions are independent of cloud cover and therefore provide a useful dataset in areas of significant cloud cover.;The objectives of this work were to evaluate the synergism between the AVHRR and SSM/I sensors, establish a method of scaling between the two datasets and interpret the microwave emissions for the purpose of soil moisture monitoring.;Scaling between the two datasets was accomplished by adding together the locational accuracies and pixel resolution of both datasets. Microwave polarization differences were found to be inversely related with ground temperature. Furthermore, use of polarization differences facilitated observation of the temporal evolution of microwave emissions over three ecoregions.;SSM/I data recorded at 19 GHz was shown to be linearly related to surface moisture even in the presence of vegetation.
机译:传统上,使用超高分辨率高分辨率辐射计(AVHRR)可以完成对卫星的“大面积”监视,但是,由于存在云层,该数据集的使用可能会受到很大影响。特殊传感器微波成像仪(SSM / I)记录地球表面的微波发射。微波辐射独立于云量,因此可在大量云量范围内提供有用的数据集。这项工作的目的是评估AVHRR和SSM / I传感器之间的协同作用,建立两个数据集之间的缩放方法,并解释微波辐射,以监测土壤湿度。通过将两个数据集的位置精度和像素分辨率加在一起,完成两个数据集之间的缩放。发现微波极化差异与地面温度成反比。此外,利用极化差异有利于观察三个生态区域内微波发射的时间演变。即使在存在植被的情况下,以19 GHz记录的SSM / I数据也与表面水分线性相关。

著录项

  • 作者

    Wood, Duncan Andrew.;

  • 作者单位

    University of Guelph (Canada).;

  • 授予单位 University of Guelph (Canada).;
  • 学科 Environmental Sciences.;Engineering Electronics and Electrical.;Engineering Environmental.
  • 学位 M.Sc.
  • 年度 1996
  • 页码 164 p.
  • 总页数 164
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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