Interior Water Body Water Quality Remote Sensing Monitoring Method Based on the HJ-1 Satellite Multi-Spectral Data

机译：基于HJ-1卫星多光谱数据的室内水体水质遥感监测方法

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The domestic interior water body was monitored Based on an HJ-1 satellite multi-spectrum data. Chlorophyll a density is inverted from the empirical model based on the different area and different season. Suspension density inversion is based on the photobiology model of near-infrared waveband method. Based on chlorophyll a and the suspension density, the interior water body trophic level index is monitored using remote sensing data. There was a synchronized observation experiment in Lake Chaohu in June, 2009. The measurement data confirms the water quality parameter inversion algorithm. The results indicated that the chlorophyll a density inversion precision is inferior to the suspension density, but both inversion precision meets the water environmental monitoring service demand.

机译：基于HJ-1卫星多光谱数据对家庭内部水体进行了监测。根据不同面积和不同季节从经验模型反转叶绿素a密度。悬浮液密度反演基于近红外波段光生物学模型。根据叶绿素a和悬浮液密度，使用遥感数据监测内部水体营养水平指数。 2009年6月在巢湖进行了同步观测实验。测量数据证实了水质参数反演算法。结果表明，叶绿素a浓度反演精度低于悬浮液密度，但两者均满足水环境监测服务需求。

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来源
《HaiHe River basin research and planning approach》|2009年|p.321-325|共5页
会议地点 Beijing(CN)
作者
YAO Yanjuan; ZHU Li; SUN Minzhang;
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作者单位

Satellite Environment Center, Ministry of Environmental Protection, Beijing, China, 100029;

Satellite Environment Center, Ministry of Environmental Protection, Beijing, China, 100029;

China Irrigation and Drainage Development Center, Beijing, China, 100054;

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会议组织
原文格式 PDF
正文语种 eng
中图分类世界各国河流治理;
关键词
HJ-1 satellite; interior water body; remote sensing inversion; chlorophyll a density; suspension density; trophic level index;

机译：HJ-1卫星;室内水体;遥感反演;叶绿素a密度;悬浮密度;营养水平指数;

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4. Interior Water Body Water Quality Remote Sensing Monitoring Method Based on the HJ-1 Satellite Multi-Spectral Data [C] . YAO Yanjuan, ZHU Li, SUN Minzhang International symposium of HaiHe basin integrated water and environment management . 2010

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Interior Water Body Water Quality Remote Sensing Monitoring Method Based on the HJ-1 Satellite Multi-Spectral Data

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