Retrieval of cyanobacteria in Taihu based on MODIS data

Xiuli Han, P. Cong, Yuxiao Qin, Xiaoxiang Zhu
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引用次数: 2

Abstract

In order to acquire timely and large-scale Cyanobacteria hazard information based on the analysis of a water bio-optical model (by combining spectral characteristic of Taihu Lake with MODIS data), we establish a Cyanobacteria index model using MODIS data. The Cyanobacteria hazard monitoring image in Taihu Lake is analyzed based on field measurements of Cyanobacteria particle density recorded by the Satellite Weather Center, National Weather Bureau. The results show that the Cyanobacteria index density image coincides with field measurements. It indicates the distribution and occurrence of Cyanobacteria in Taihu Lake, providing reference for hazard reduction and prevention. However, further exploration is needed regarding the optimization of model parameters and determination of threshold levels.
基于MODIS数据的太湖蓝藻群落检索
为了在分析水体生物光学模型的基础上(将太湖的光谱特征与MODIS数据相结合)及时、大规模地获取蓝藻危害信息,我们利用MODIS数据建立了蓝藻指数模型。根据国家气象局卫星气象中心现场监测的蓝藻粒子密度数据,对太湖蓝藻危害监测图像进行了分析。结果表明,蓝藻指数密度图像与现场测量结果吻合。揭示了太湖蓝藻的分布和发生情况,为减少和预防蓝藻危害提供参考。但是,模型参数的优化和阈值水平的确定还需要进一步的探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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