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引用本文:王彦飞,李云梅,吕恒,吴传庆,金鑫,尹斌,张红.环境一号卫星高光谱遥感数据的内陆水质监测适宜性——以巢湖为例.湖泊科学,2011,23(5):789-795. DOI:10.18307/2011.0518
WANG Yanfei,LI Yunmei,LV Heng,WU Chuanqing,JIN Xin,YIN Bin,ZHANG Hong.Suitability assessment of lake water quality monitoring on waterbody images acquired by HJ-1A hyperspectral imager:a case study of Lake Chaohu. J. Lake Sci.2011,23(5):789-795. DOI:10.18307/2011.0518
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环境一号卫星高光谱遥感数据的内陆水质监测适宜性——以巢湖为例
王彦飞1, 李云梅1, 吕恒1, 吴传庆2, 金鑫1, 尹斌1, 张红1
1.南京师范大学虚拟地理环境教育部重点实验室, 南京 210046;2.环境保护部环境卫星应用中心, 北京 100029
摘要:
环境一号星座的A星(HJ-1A)上搭载了超光谱成像仪(HSI), 它是具有高光谱分辨率的全新国产遥感数据源, 为水质遥感特别是内陆水质遥感提供了新的高光谱数据.但HSI影像的处理方法尚不完善, 在广泛应用于水质遥感前对其进行质量研究和评价非常必要.本文针对HSI数据在巢湖水质监测应用方面的适宜性, 对信噪比和数据真实性、倾斜条纹去除方法、大气校正方法等方面分别进行了评价.结果表明, HSI水体图像在530-900nm波段范围内数据质量较为真实可靠;6S与FLAASH方法均能有效去除大气效应, 在530-830nm范围内效果较好。
关键词:  环境一号  高光谱  大气校正  适宜性评价  条带去除  巢湖
DOI:10.18307/2011.0518
分类号:
基金项目:国家自然科学基金项目(40971215);博士点基金(20093207110011);南京师范大学优秀博士论文培养计划(12432116011036)联合资助
Suitability assessment of lake water quality monitoring on waterbody images acquired by HJ-1A hyperspectral imager:a case study of Lake Chaohu
WANG Yanfei1, LI Yunmei1, LV Heng1, WU Chuanqing2, JIN Xin1, YIN Bin1, ZHANG Hong1
1.Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing 210046, P.R.China;2.Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, P.R.China
Abstract:
The hyperspectral imager(HSI) is loaded on the HJ-1A satellite, which is a new source of home-made data with high spectral resolution and provides new remote sensing data for water quality, especially for lake water quality monitoring.Because the processing method of HSI images is underdeveloped, the quality evaluation and research for HSI images are necessary before it is extensively used in water-quality remote sensing.Suitability of lake water quality monitoring in Lake Chaohu by HSI image is as-sessed via data verifying, signal-to-noise computing, stripes removing and atmospheric correcting.The results show that HSI data of waterbody is reliable between wave bands 530-900 nm.Both 6S and FLAASH algorithm works well in atmospheric correction of HSI data, and the best range is at the 530-830 nm.
Key words:  HJ-1A satellite  hyperspectral  atmospheric correction  suitability assessment  stripe removing  Lake Chaohu
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