...
首页> 外文期刊>International journal of remote sensing >Monitoring sandstorms and desertification in northern China using SSM/I data and Getis statistics
【24h】

Monitoring sandstorms and desertification in northern China using SSM/I data and Getis statistics

机译:利用SSM / I数据和Getis统计数据监测中国北方的沙尘暴和荒漠化

获取原文
获取原文并翻译 | 示例
           

摘要

A massive sandstorm enveloped most of northern China during Spring 2002. Monitoring the evolution of sandstorm and desertification has become one of the most serious problems for China's environment. Since 1989, one of the most advanced and operational passive microwave sensors is the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager (SSM/I) operated at seven channels (19, 37, 85 GHz with vertical and horizontal polarization and 22 GHz with vertical polarization only). In this paper, the sandstorm and desertification indexes, SDI and DI, are derived from the radiative transfer equation, and are employed with multi-channel measurements of the DMSP SSM/I for monitoring the sandstorm and desertification in northern China. Some SSM/I data in 1997 and 2001 are employed. The algorithm of the Getis statistics is developed to categorize the spatial correlation and its evolution during these days. It is demonstrated that the SSM/I indexes, SDI and DI, and its Getis statistics are well applicable for monitoring the sandstorm and desertification.
机译:2002年春季,一场大的沙尘暴席卷了中国北方大部分地区。监测沙尘暴和沙漠化的演变已成为中国环境最严重的问题之一。自1989年以来,最先进且可操作的无源微波传感器之一是国防气象卫星计划(DMSP)特殊传感器微波成像仪(SSM / I),它在七个通道(19、37、85 GHz,垂直和水平极化以及22 GHz)下运行仅垂直极化)。本文从辐射传递方程推导了沙尘暴和荒漠化指数SDI和DI,并将其与DMSP SSM / I的多通道测量结果一起用于监测中国北方的沙尘暴和荒漠化。使用了1997年和2001年的一些SSM / I数据。开发了Getis统计信息的算法,以对这些天中的空间相关性及其演变进行分类。结果表明,SSM / I指标SDI和DI及其Getis统计信息非常适用于沙尘暴和荒漠化的监测。

著录项

  • 来源
    《International journal of remote sensing》 |2004年第11期|p.2053-2060|共8页
  • 作者

    Y.-Q. JIN; F. YAN;

  • 作者单位

    Center for Wave Scattering and Remote Sensing and School of Information Science & Engineering, Fudan University, Shanghai 200433, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 遥感技术;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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