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基于实测高光谱和电磁感应数据的区域土壤盐渍化遥感监测研究
  • ISSN号:1000-0593
  • 期刊名称:《光谱学与光谱分析》
  • 时间:0
  • 分类:TP751.1[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]新疆大学资源与环境科学学院绿洲生态教育部重点实验室,新疆乌鲁木齐8300461
  • 相关基金:国家自然科学基金重点项目(41261090,41130531); 霍英东教育基金(121018); 教育部新世纪优秀人才支持计划; 新疆维吾尔自治区高校科研计划青年教师科研培育基金项目(XJEDU2012S03)资助
中文摘要:

当前在干旱区土壤水分研究工作中,开展利用微波遥感技术高精度估算稀疏植被覆盖条件下地表粗糙度参数的研究是一项非常有意义的工作。基于微波遥感数据,结合土壤水分实测资料,以IEM模型为基础,分析雷达后向散射系数与土壤含水量、地表粗糙度参数之间的关系,利用最小二乘法和非线性回归的方法,建立光滑地表条件下的土壤含水量模型。结果表明:模型提取的土壤水分与实测值之间有很好的相关性,决定系数达到0.886,所建立的土壤水分信息提取模型在裸土以及稀疏植被覆盖地区能够得到较好的应用效果。

英文摘要:

Soil moisture information can be extracted by microwave remote sensing technology; however, the problem is how to eliminate the influence of ground surface roughness and vegetation coverage on the back- scattering data. Ground surface roughness is the key factor determining the data accuracy in northwest China where the vegetation coverage is small. Thus, evaluating and modeling the surface roughness parameters with a high precision is an important task for the arid land soil moisture study. Using IEM model, the response rela- tionships between the different types of backscattering coefficient and the radar systematic coefficient and soil surface parameters are simulated. Results show that the backscattering coefficient is different from these pa- rameters' change. Based on these achievements, the best radar parameters which can reflect the soil moisture are put forwarded. The corresponding relationships between the radar backseattering parameters and soil mois- ture contents, ground surface roughness parameters (such as, mean root height method, persistence length method and combined roughness method) are analyzed, and the experimental model which can reflect the soil moisture of relatively smooth ground surface is developed by using least squares method and non-linear regres- sion method. At last, for a ground truth testing analysis, using the obtained RADAR-SAT2 data, the experimen- tal model is applied in Weigan River and Kuch River delta oasis area. Results show that the data obtained from the experimental model has relatively high corresponding relationship with the soil moisture data collected in situ, and the determination coefficient is up to 0.886, implying the experimental model can be used in relatively wide scale for analyzing and modeling the soil moisture contents of some bare soil surface or the area whose vegetation density is low and vegetation coverage is small.

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期刊信息
  • 《光谱学与光谱分析》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国光学学会
  • 主编:高松
  • 地址:北京海淀区魏公村学院南路76号
  • 邮编:100081
  • 邮箱:chngpxygpfx@vip.sina.com
  • 电话:010-62181070
  • 国际标准刊号:ISSN:1000-0593
  • 国内统一刊号:ISSN:11-2200/O4
  • 邮发代号:82-68
  • 获奖情况:
  • 1992年北京出版局编辑质量奖,1996年中国科协优秀科技期刊奖,1997-2000获中国科协择优支持基础性高科技学术期刊奖
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,美国生物医学检索系统,美国科学引文索引(扩展库),英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国英国皇家化学学会文摘,中国北大核心期刊(2000版)
  • 被引量:40642