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中国农学通报

中国农学通报 ›› 2013, Vol. 29 ›› Issue (5): 192-198.doi: 10.11924/j.issn.1000-6850.2012-2718

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于Hyperion的东洞庭湖水质参数空间分异规律

莫登奎 严恩萍 洪奕丰 林辉   

  • 收稿日期:2012-08-04 修回日期:2012-09-02 出版日期:2013-02-15 发布日期:2013-02-15
  • 基金资助:
    国家自然科学基金资助项目“基于遥感影像的森林资源智能区划关键技术研究”(31100412)；国家林业局林业公益项目专题“林分结构与生长模拟技术研究”(201104028)。

Research on the Spatial Variation of Water Quality Parameters in East Dongting Lake Based on Hyperion

  • Received:2012-08-04 Revised:2012-09-02 Online:2013-02-15 Published:2013-02-15

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摘要： 为了研究成像高光谱对水质参数监测的影响，以东洞庭湖为研究区，Hyperion影像为信息源，对其进行大气校正，通过水体光谱特征分析，分别构建叶绿素a和悬浮物浓度遥感估算模型，利用ENVI4.7和ArcGIS软件获得东洞庭湖目标叶绿素a和悬浮物浓度的空间分布图。结果表明，Hyperion影像大气校正效果理想，适合反演区域叶绿素a和悬浮物浓度；研究区叶绿素a空间分异规律不明显，随着距湖岸距离的增加呈上升趋势；悬浮物浓度在空间上分异规律明显，湖岸到湖心方向随距离的增加，整体呈先缓慢下降后逐渐上升趋势；洞庭湖湖心悬浮物含量较高，且南部湖区悬浮物含量总体高于北部。研究展示了Hyperion监测内陆水体的潜力，为今后水质参数的精确估算提供参考。

关键词: 酸性磷酸酶, 酸性磷酸酶

Abstract: In order to study the influence of hyperspectral image on the monitoring of water quality parameters, the author dealed with inversion research of water quality parameters in East Dongting Lake, based on Hyperion image. Through atmosphere correction and spectral feature analysis, then estimation model for chlorophyll a concentration and suspended solids were built respectively. Spatial distribution of target water quality parameters were acquired by software ENVI4.7 and ArcGIS. Results showed that the effect of Hyperion atmosphere correction was ideal, which was suitable for the inversion of chlorophyll a concentration and suspended solids. The spatial variation of chlorophyll a in the study area was not obvious, which tended to be an upward trend with the distance increase from lakeshore. While the spatial differentiation of suspended solids concentration was obvious, the overall presentation tended to be a gradual increase then a slow decline with the distance increase from lakeshore. The suspended solids content in the mouth and center of East Dongting Lake was higher than other places, and in total the south was higher than the north. The research revealed the potential of Hyperion image on the inland water monitoring, which contributed to the accurate estimation of water parameter monitoring.