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基于多源遥感数据的呼伦湖溶解氧反演模型 被引量:5

Inversion modeling of dissolved oxygen in Hulun Lake of Northeast China based on multi-source remote sensing
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摘要 呼伦湖在我国东北部的生态环境保护和经济发展中具有重要地位。利用32个采样点的实测溶解氧含量数据、高光谱数据和近同步的Landsat TM遥感影像,通过光谱特征分析和相关分析,提取了呼伦湖溶解氧含量的敏感波段,建立了溶解氧的遥感反演模型,并初步分析了呼伦湖溶解氧含量的空间分布。虽然模拟结果存在一定的误差,但经验证该模型能够反映呼伦湖溶解氧含量的空间特征,可为呼伦湖溶解氧含量的实时监测提供快速、经济、有效的工具。 Hulun Lake plays an important role in the eco-environment protection and economic development in Northeast China. Dissolved oxygen (DO) is one of the important indicators of wa- ter quality. By using the measured DO data from 32 sampling sites and the multi-source remote sensing data (including ground hyperspectral data and muhispectral remote sensing images) , and based on the spectral characteristic analysis and correlation analysis, the sensitive bands of the DO in the Hulun Lake were extracted, the inversion model of the DO was established, and the spatial distribution of the DO concentration was analyzed. Through validation, though the simula- ted results had some errors, the established model was able to reflect the spatial characteristics of DO concentration in the Lake. It can provide a fast, economic and effective tool for the real-time monitoring of the DO concentration in Hulun Lake.
出处 《生态学杂志》 CAS CSCD 北大核心 2013年第4期993-998,共6页 Chinese Journal of Ecology
基金 内蒙古自然科学基金项目(2010MS0601 2009BS0601) 国家自然科学基金项目(41003049 40863003)资助
关键词 呼伦湖 溶解氧 高光谱 遥感 Hulun Lake dissolved oxygen hyperspectrum remote sensing.
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