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土壤重金属污染遥感监测研究进展
  • ISSN号:1000-3177
  • 期刊名称:《遥感信息》
  • 时间:0
  • 分类:TP79[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]南京林业大学林学院, [2]江苏省环境监测中心
  • 相关基金:林业公益性行业科研专项(201304208);国家自然科学基金项目(31270587);江苏省普通高校研究生科研创新计划项目(CXLX12_0546)
中文摘要:

本文总结了基于样点地面实测光谱分析和基于遥感影像的多光谱和高光谱定量化监测方法在土壤重金属污染中应用的优劣势,分析出现有研究数据和方法的不足与需改进之处,并指出整合多源数据和多变量方法用于连续动态监测并制图土壤重金属污染将是遥感定量化监测新的发展趋势。尺度的变化和定量遥感的不确定性影响土壤重金属污染遥感监测的精度。

英文摘要:

How to map the pollution quality and severity in an accurate,timely,and large scale manner has definitely been recognized as the crux of bringing the pollution under control.Remote sensing technology,with the monitoring advantages of wide coverage,expeditiousness,affordable price and suitable revisit frequency remains irreplaceable in monitoring large-scale soil pollution.In this paper,the advantages and disadvantages of monitoring methods for soil heavy metal pollution evaluation based on the measured spectral analysis of the samples as well as the quantitative detection by the multispectral and hyperspectral remote sensing imagery were summarized and the deficiency of the existing research data and methods and which need to be improved were analyzed.Finally,it pointed out that the continuous dynamic monitoring and mapping soil heavy metal pollution by the integration of multi-source data and multivariate methods will be the new development trend of quantitative monitoring via remote sensing technology.Scale changes in detection and the uncertainty of quantitative remote sensing affect the accuracy of remote sensing monitoring on soil heavy metal pollution.

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期刊信息
  • 《遥感信息》
  • 中国科技核心期刊
  • 主管单位:国家测绘局
  • 主办单位:科技部国家遥感中心 中国测绘科学研究院
  • 主编:张继贤
  • 地址:北京市海淀区北太平路16号
  • 邮编:100039
  • 邮箱:remotesensing@casm.ac.cn
  • 电话:010-88217813
  • 国际标准刊号:ISSN:1000-3177
  • 国内统一刊号:ISSN:11-5443/P
  • 邮发代号:82-840
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:8820