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文章摘要
博斯腾湖矿化度遥感反演及空间分布特征研究
Remote Sensing Data Based Study on Retrieval and Spatial Distribution Characteristics of Water Salinity in Bosten Lake
  
DOI:
中文关键词: 矿化度  遥感反演  空间分布特征  MODIS  博斯腾湖
英文关键词: Salinity  Remote sensing retrieval  Spatial distribution characteristics  MODIS  Bosten Lake
基金项目:国家自然科学基金资助项目(41161007, 41461006);自治区青年科技创新人才培养工程基金资助项目(QN2015YX009);新疆师范大学地理学博士点支撑学科开放课题基金资助项目(XJNU-DL-201605)
作者单位
姜红 新疆师范大学地理科学与旅游学院 
玉素甫江·如素力 新疆师范大学地理科学与旅游学院新疆师范大学新疆干旱区湖泊环境与资源重点实验室 
阿迪来·乌甫 新疆师范大学地理科学与旅游学院 
热伊莱·卡得尔 新疆师范大学地理科学与旅游学院 
艾则孜提约麦尔·麦麦提 新疆师范大学地理科学与旅游学院 
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中文摘要:
      以我国最大的内陆淡水湖——博斯腾湖为研究对象,利用Terra/MODIS L1B空间分辨率为250 m和500 m的遥感反射率数据及湖水矿化度实测数据建立线性回归模型,分析湖表面矿化度的空间分布特征。结果表明:空间分辨率为500 m的1~7个波段组合建立的多元线性回归模型相关性最高(R2=0.70),模型验证结果显示,实测值和反演值的相关系数(R2)为0.82,均方根误差(RMSE)为0.12。利用最优模型对博斯腾湖湖面矿化度进行反演,其分布存在明显的空间梯度,西北、东北和东南湖区矿化度较高,而西南湖区和湖区南部矿化度较低。
英文摘要:
      In this paper, taking Bosten Lake——the largest inland freshwater lake as research object, the linear regression models were established using 250 m and 500 m remote sensing data of Terra/MODIS L1B for observing the lake water salinity. The spatial distribution characteristics of salinity in the lake surface were analyzed. The results indicated that the multi linear regression model established by a combination of 1 to 7 band with a spatial resolution of 500 m, had the highest correlation(R2=0.70). The correlation coefficient between measured values and retrieval valves (R2) was 0.82, and the Root Mean Square Error(RMSE) was 0.12. The spatial distribution of salinity in Bosten Lake had obvious gradient. The water salinity was higher in the northwest, northeast and southeast parts, and lower in southwest and southern parts in the lake.
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