HY-1卫星CZI影像在黄海绿潮监测的应用

王鑫华; 刘海龙; 邢前国; 刘建强; 丁静; 金松

doi:10.11834/jrs.20235003

生态灾害遥感监测应用 | 浏览量 : 0 下载量: 894 CSCD: 2

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HY-1卫星CZI影像在黄海绿潮监测的应用
Application of HY-1 CZI satellite images in monitoring of green tide in Yellow Sea
2023年27卷第1期页码：146-156
收稿：2021-07-04，

纸质出版：2023-01-07
DOI： 10.11834/jrs.20235003
稿件说明：

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王鑫华，刘海龙，邢前国，刘建强，丁静，金松.2023.HY-1卫星CZI影像在黄海绿潮监测的应用.遥感学报，27（1）： 146-156 DOI： 10.11834/jrs.20235003.

Wang X H，Liu H L，Xing Q G，Liu J Q，Ding J and Jin S. 2023. Application of HY-1 CZI satellite images in monitoring of green tide in Yellow Sea. National Remote Sensing Bulletin， 27（1）：146-156 DOI： 10.11834/jrs.20235003.

摘要

海洋一号C（HY-1C）卫星搭载的海岸带成像仪CZI（Coastal Zone Imager）广泛应用于中国近海生态灾害监测。本研究以16 m分辨率的高分六号WFV（Wide Field of View）影像提取的绿潮覆盖面积作为参考值，从绿潮漏检率和覆盖面积定量评估了CZI影像的绿潮监测能力，并与250 m分辨率的MODIS提取结果进行了对比分析。结果表明，CZI影像的绿潮平均漏检率只有MODIS影像的1/5左右，绿潮覆盖面积比MODIS影像小50%以上。MODIS和CZI影像的绿潮覆盖面积呈线性相关，将MODIS影像的绿潮覆盖面积转换为CZI结果；该结果显示，2019年、2021年度绿潮最大覆盖面积为2000 km²左右，是2020年同期的6倍左右。在绿潮监测方面，相比于MODIS，CZI影像的绿潮漏检率较低且覆盖面积更接近真实参考值。本研究建立了CZI与目前较常用的MODIS绿潮覆盖面积的转换关系，可弥补CZI观测频次的缺陷，进而实现绿潮高频次观测。

Abstract

The green tide in the Southern Yellow Sea have appeared 1.5 decades since 2007

resulting in a great losses to the marine ecological environment and government finance. With the help of multiple satellite images

remote sensing technique play an import part in monitoring green tide outbreak process. Yet selecting an appropriate sensor is a precondition in quantifying the severity of green tide. HY-1C satellite is great superior to other sensors for its relatively high spatial resolution (50 m)

wide swath width (950 km) as well as short revisit time (3 days). Here

we introduce the green tide in GF-6 WFV images (16 m) to evaluate the capability of CZI images in the monitoring of green tide

and then compare the CZI results with the traditional MODIS images (250 m). And the GF-6 WFV images is also applied to evaluate the omission rate and accuracy of green tide extraction in the CZI and MODIS images. Based on the convert parameter between MODIS and CZI green tide mapping result

we get high frequency green tide outbreak process in 2019

2020 and 2021.

In this study

dynamic threshold is introduced to extract green tide from the DVI results and the coverage area of green tide will be obtained by adding up the area of pixel. Besides

the ratio of coverage area to affected area is used as the aggregation density of green tide. The relationship between the ratio of coverage area of green tide from MODIS and CZI images and aggregation density of green tide is also analyzed. And we give the linear relationship of coverage area of green tide obtained from satellite images with different resolution.

Results indicate that the average omission rate of CZI images (6.64%) is much lower than that of MODIS images (34.08%). In addition

the coverage area of green tide acquired from MODIS and CZI images is high linearly correlated

so both of them can be linear transformed. With the combination of CZI images and MODIS images

the daily coverage areas of green tide in the Yellow Sea in 2019

2020 and 2021 are retrieved. The CZI-based maximum daily coverage areas of green tide were 2290 km²

336 km² and 1949 km²

respectively

which are consistent with the evolutions in the countermeasures adopted by managers to control the green tide.

This study shows that

CZI image has the advantages of lower omission rate and higher accuracy of coverage area in monitoring of green tide in contrast to the MODIS image. And the defect of observation frequency in CZI image will be improved by the linear conversion of coverage area of green tide from MODIS and CZI images. Then

the high-frequency and high-precision of the observation of green tide will be realized.

关键词

Keywords

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