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滇池蓝藻水华光谱特征、遥感识别及暴发气象条件 被引量:48

Spectral features,remote sensing identification and breaking-out meteorological conditions of algal bloom in Lake Dianchi
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摘要 通过研究滇池蓝藻水华在可见光、红外谱段的光谱特征,并利用假彩色合成法以及归一化植被指数(NDVI)法进行了滇池蓝藻水华信息的遥感识别和提取,进而对提取结果进行了对比分析.结果表明:假彩色合成图的绿色区域和NDVI值大于-0.1的区域,为蓝藻水华区域.-0.1≤NDVI≤0.2时,轻度水华,像元内水华覆盖度为0-30%;0.2<NDVI≤0.4时,中度水华,像元内蓝藻水华覆盖度为31%-80%;NDVI>0.4时,重度水华,水华浓厚,像元内蓝藻水华覆盖度为81%-100%.同时研究了激励滇池蓝藻水华暴发的关键气象因子和指标.滇池蓝藻水华暴发的关键时期是6-9月份,影响滇池蓝藻暴发的关键因子是日照和风速.6-9月份连续4-5h的光照,且风速≤2m/s的气象条件组合极易引起蓝藻水华暴发. Based on high spectral reflectivity features of Blue-green Algal Bloom (BAB) in Lake Dianchi, by MODIS satellite remote sensing data, RGB :621 combined false color synthesis and Normalized Difference Vegetation Index(NDV1)method, we found that green region in false color synthesis image and the region with NDVI value 〉 -0.1 were just the BAB area. When -0.1≤ NDVI≤0. 2, slight BAB occurred, and bloom coverage in a pixel reaches 0 -30%; when0. 2 〈 NDVI≤0. 4, moderate bloom happened, bloom coverage in a pixel reached 31%- 80%; dense bloom comed forth while NDVI 〉 0.4, and bloom coverage in a pixel can be 81% - 100%. From June to September is the key period for BAB breaking-out in Lake Dianchi, and the key factors to affect BAB breaking-out maybe sunshine and wind velocity. During this period, if the sunshine can last for only 4 -5 hours and the wind velocity ≤2m/s, it's quite easy for BAB breaking-out.
出处 《湖泊科学》 EI CAS CSCD 北大核心 2010年第3期327-336,共10页 Journal of Lake Sciences
基金 中国气象局蓝藻水体监测预警系统(一期)项目 昆明市环境保护局项目联合资助
关键词 MODIS 蓝藻水华 遥感识别 气象条件 滇池 MODIS blue-green algal bloom remote sensing recognition meteorological condition Lake Dianchi
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参考文献34

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