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首页> 外文期刊>Advances in Remote Sensing >An Algorithm for Classification of Algal Blooms Using MODIS-Aqua Data in Oceanic Waters around India
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An Algorithm for Classification of Algal Blooms Using MODIS-Aqua Data in Oceanic Waters around India

机译：印度海洋水域MODIS-AQUA数据分类藻类绽放的算法

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Increasing incidences and severity of algal blooms are of major concern in coastal waters around India. In this work an automatic algorithm has been developed and applied to a series of MODIS-Aqua ocean color data to classify and monitor four major algal blooms in these waters (i.e., Trichodesmium erythareum, Noctiluca scintillans/miliaris (green/brown), and Cochlodinium polykrikoides (red)). The algorithm is based on unique spectral signatures of these blooms previously reported by various field sampling programs. An examination of the algorithm results revealed that classified blooms agree very well with in-situ data in most oceanic waters around India. Accuracy assessment based on overall, user’s and producer’s accuracy and Kappa accuracy further revealed that the producer’s/user’s accuracy of the four algal blooms were 100% / 100%, 79.16% / 79.16%, 100% / 80%, 100% / 86.95%, respectively. The Kappa coefficient was 1.01. These results suggest that the new algorithm has the potential to classify and monitor these major algal blooms and such information is highly desired by fishermen, fish farmers and public health officials in this region. It should be noted that coefficients with the new algorithm may be finetuned based on more in-situ data sets and the optical properties of these algal blooms in oceanic waters around India.
机译：增加的藻类盛开的发病和严重程度在印度周围的沿海水域担心。在这项工作中，已经开发了一种自动算法，并应用于一系列Modis-Aqua海洋颜色数据，以对这些水域进行分类和监控四个主要藻类盛开（即，胃肠红外，Noctiluca scintillans / Miliaris（绿色/棕色）和雪尔二核苷酸polykrikoides（红色））。该算法基于先前由各种现场采样程序报告的这些绽放的独特光谱签名。对算法的考察显示，分类盛开在印度周围大多数海洋水域中的原位数据非常吻合。基于整体，用户和生产者的准确性和Kappa准确性的准确性评估进一步透露，生产者/用户的四藻绽放的准确性为100 ％/ 100 ％，79.16 ％/ 79.16 ％，100 ％/ 80 ％ ，分别为100 ％/ 86.95 ％。 Kappa系数为1.01。这些结果表明，新算法有可能对这些主要藻类盛开进行分类和监控这些主要藻类盛开，并且该地区的渔民，渔民和公共卫生官员受到这些信息。应当注意，基于更多的原位数据集和印度海洋水域中这些藻类绽放的光学特性，可以使用新算法的系数。

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