摘要
三波段模型是基于生物光学模型构建的叶绿素a浓度反演半分析模型,是目前反演内陆富营养化浑浊水体叶绿素a浓度效果较好的方法.本文通过星地同步实验,分析巢湖水体各组分光谱特征,分别基于地面实测数据与环境一号卫星高光谱遥感数据建立三波段模型反演巢湖水体叶绿素a浓度.结果表明,由于特征波段在不同数据源的位置不同,导致了两个模型波段选择及反演精度的差异.因此,只有在充分考虑遥感数据的光谱特征的条件下,分析遥感信息理论和实际图幅影像有效结合在一起的地物信息,才能进一步优化三波段模型的波段选择,实现遥感数据定量反演水体叶绿素a浓度的目标.
Three-band model is a semi-analytical model based on some assumptions of bio-optical model properties, which is an ex- cellent model for chlorophyll-a. The goal of this study is to analyze the feature of the reflectance spectrum by the data collected on the surface of the Lake Chaoha and to synchronized images of the satellite HJ-1. Tile different location of feature bands tuttis out that two models have several differences in the retrieval resolutions. Three bands of two models are 669nm/699nm/735nm and B73 （680.49 -685.08nm）/B74（ 685, 08 -689.74nm）/BS1 （719.04 -724.17nm） respectively. Only when taking the full considerations of the feature of remote sensing data and analyzing both remote sensing theory and image, we can optimize choices of the three bands and archive the target of quantitative retrieving the chlorophyll-a by remote sensing image.
出处
《湖泊科学》
EI
CAS
CSCD
北大核心
2010年第4期495-503,共9页
Journal of Lake Sciences
基金
国家科技支撑计划"十一五"项目"基于环境一号等国产卫星的大型水体环境遥感监测应用技术与软件开发"(2008BAC34)
国家自然科学基金"面向湖泊水色遥感的多源数据融合与生成研究"项目(40971215)资助
关键词
叶绿素A
遥感
巢湖
环境一号卫星
Chlorophyll-a
remote sensing
Lake Chaohu
satellite I-IJ-1
