Red Tide Detection Based on High Spatial Resolution Broad Band Satellite Data: A Case Study of GF-1
Red Tide Detection Based on High Spatial Resolution Broad Band Satellite Data: A Case Study of GF-1
复制标题
基于高空间分辨率宽带卫星数据的赤潮探测——以GF-1为例
DOI：
10.2112/si90-015.1
复制
发表时间：
2019-06-01
影响因子：
--
通讯作者：
An, Ju-Bai
中科院分区：
文献类型：
--
作者：
Liu, Rong-Jie;Zhang, Jie;An, Ju-Bai
传统的赤潮遥感检测方法都是基于海洋水色卫星数据，光谱分辨率高（光谱带宽< 20 nm），但空间分辨率低。显然，赤潮的精细遥感监测需要高空间分辨率的卫星数据。然而，具有高空间分辨率的卫星数据往往缺乏高光谱分辨率，光谱带宽大于50纳米。此外，系统的研究尚未证明使用高空间分辨率但低光谱分辨率的卫星数据可以有效地探测赤潮。在本文中，高空间分辨率（16米），但低光谱分辨率，从卫星，GF-1，数据进行了分析，以确定是否有效的精细尺度检测赤潮是可能的。利用2014年发生在广东省的一次赤潮事件，分析了GF-1数据对赤潮的光谱响应特征。结果发现，尽管宽的光谱带宽，GF-1 WFV成像光谱仪数据仍然表现出清晰的潮汐检测算法的GF-1 WFV数据的基础上，这种赤潮光谱信号。该算法的赤潮检测准确率优于92%，F1-Score值优于87%。利用该算法对广东2014年赤潮事件进行空间分析，结果表明，利用GF-1卫星数据提取的赤潮面积最大为10 km（2），且赤潮面积在消亡阶段大幅减小。对MODIS卫星数据的比较分析表明，尽管有多个海洋颜色波段，但由于空间分辨率较低，没有检测到海洋颜色异常。该方法已成功应用于山东日照赤潮的检测。
Traditional red tide remote sensing detection methods are based on ocean color satellite data with high spectral resolution (spectral band width < 20 nm), but low spatial resolution. Clearly, fine-scale remote-sensing monitoring of red tide requires high spatial resolution satellite data. Yet, satellite data with high spatial resolution often lack high spectral resolution, with spectral band width > 50 nm. Moreover, systematic research has yet to demonstrate effective detection of red tide using high spatial resolution, but low spectral resolution, satellite data. In this paper, high spatial resolution (16 m), but low spectral resolution, data from the satellite, GF-1, are analyzed to determine if effective fine-scale detection of red tide is possible. The spectral response characteristics of red tide in GF-1 data are analyzed using a 2014 red tide event that occurred in Guangdong Province, China. It was found that, despite broad spectral band widths, GF-1 WFV imaging spectrometer data still exhibits a clear tide detection algorithm for GF-1 WFV data based on this red tide spectral signal. The detection accuracy of red tide for this algorithm is better than 92 %, and the F1-Score value is better than 87 %. Spatial analysis of the Guangdong 2014 red-tide event based on this algorithm showed that the maximum red tide area extracted from GF-1 satellite data is 10 km(2), and that the red tide area decreases greatly during the extinction phase. A comparative analysis of MODIS satellite data indicates that, despite the availability of multiple ocean color bands, no ocean color anomaly is detected because of coarse spatial resolution. The developed method was also successfully used to detect red tide occurred in Rizhao, Shandong Province.