Impact of medium and high spatial resolution wide band optical satellite sensor parameters on red tide detection

Ge Huaxin; Liu Rongjie; Zhao Xin; Ma Yi; Wang Xinnian; Wang Yikan

doi:10.12284/hyxb2022161

Volume 44 Issue 12

Jan. 2023

Turn off MathJax

Article Contents

Article Navigation > Haiyang Xuebao > 2022 > 44(12): 136-147

Ge Huaxin，Liu Rongjie，Zhao Xin, et al. Impact of medium and high spatial resolution wide band optical satellite sensor parameters on red tide detection[J]. Haiyang Xuebao，2022, 44(12)：136–147 doi: 10.12284/hyxb2022161

Citation:

PDF( 4139 KB)

Impact of medium and high spatial resolution wide band optical satellite sensor parameters on red tide detection

doi: 10.12284/hyxb2022161

Ge Huaxin^{1, 2
,},
Liu Rongjie^{2
,
,},
Zhao Xin^{1, 2},
Ma Yi^{2, 3},
Wang Xinnian⁴,
Wang Yikan⁴

1.
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
2.
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
3.
Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources, Qingdao 266061, China
4.
College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China

Received Date: 2022-06-07
Rev Recd Date: 2022-07-15

Available Online: 2022-10-08

Publish Date: 2023-01-17

Abstract

Abstract

Medium and high spatial resolution wide-band optical satellites have become the main data source for red tide monitoring, but unlike the ocean color satellite sensors, the medium and high spatial resolution satellite sensors are mainly oriented to terrestrial applications with a small number of bands and a large band width, and the resulting impact on red tide detection has yet to be studied. Therefore, this paper explores the effects of band settings, spectral response functions, signal-to-noise ratio and spatial resolution on red tide detection based on the actual hyperspectral data of different dominant species of red tide, spatio-temporally synchronized GF-1 WFV2 and GF-1 WFV3 sensor images, Sentinel-2A MSI sensor images and GF-6 WFV sensor images, and analyzes the advantages of red-edge band on red tide detection. Our results show that: the band settings have a great influence on the red tide detection, especially the central wavelength and band width of the red band and the red edge band; the red tide detection accuracy is greatly influenced by the spectral response function and less influenced by the signal-to-noise ratio under the same band settings; the spatial resolution has a greater influence on the red tide detection, and the improvement of spatial resolution helps to improve the accuracy of red tide detection. The experiments of red-edge band red tide detection show that red-edge band red tide detection has obvious advantages over red-light band red tide detection, and the F1-Score is improved by 11% on average. The results of this paper provide a theoretical basis for the data selection of red tide detection from medium and high spatial resolution satellites on the one hand, and a reference for the design of medium and high spatial resolution satellite sensors on the other hand.
- medium and high spatial resolution,
- wide band,
- satellite sensor,
- red tide detection

FullText(HTML)

References(20)

References

[1]	马毅. 赤潮航空高光谱遥感探测技术研究[D]. 青岛: 中国科学院海洋研究所, 2003. Ma Yi. Research on red tide detection technology by aerial hyperspectral remote sensing[D]. Qingdao: The Institute of Oceanology, Chinese Academy of Sciences, 2003.
[2]	Liu Rongjie, Zhang Jie, Cui Bin’ge, et al. Red tide detection based on high spatial resolution broad band satellite data: a case study of GF-1[J]. Journal of Coastal Research, 2019, 90(SI): 120−128.
[3]	Liu Rongjie, Xiao Yanfang, Ma Yi, et al. Red tide detection based on high spatial resolution broad band optical satellite data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 184: 131−147. doi: 10.1016/j.isprsjprs.2021.12.009
[4]	Zhao Xin, Liu Rongjie, Ma Yi, et al. Red tide detection method for HY-1D coastal zone imager based on U-Net convolutional neural network[J]. Remote Sensing, 2021, 14(1): 88. doi: 10.3390/rs14010088
[5]	Lee M S, Park K A, Chae J, et al. Red tide detection using deep learning and high-spatial resolution optical satellite imagery[J]. International Journal of Remote Sensing, 2020, 41(15): 5838−5860. doi: 10.1080/01431161.2019.1706011
[6]	Cao Mengmeng, Qing Song, Jin E, et al. A spectral index for the detection of algal blooms using Sentinel-2 Multispectral Instrument (MSI) imagery: a case study of Hulun Lake, China[J]. International Journal of Remote Sensing, 2021, 42(12): 4514−4535. doi: 10.1080/01431161.2021.1897186
[7]	Trishchenko A P, Cihlar J, Li Zhanqing. Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors[J]. Remote Sensing of Environment, 2002, 81(1): 1−18. doi: 10.1016/S0034-4257(01)00328-5
[8]	刘三超, 柳钦火, 高懋芳, 等. 波谱响应函数和波宽对地表温度反演的影响[J]. 遥感信息, 2007(5): 3−6. Liu Sanchao, Liu Qinhuo, Gao Maofang, et al. A study on effects of spectral response function and band width on land surface temperature inversion[J]. Remote Sensing Information, 2007(5): 3−6.
[9]	Cao Zhigang, Ma Ronghua, Duan Hongtao, et al. Effects of broad bandwidth on the remote sensing of inland waters: implications for high spatial resolution satellite data applications[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 153: 110−122. doi: 10.1016/j.isprsjprs.2019.05.001
[10]	邹寒月, 毛智慧, 邓磊. 传感器波段设置对植被遥感参数反演的影响研究[J]. 地理信息世界, 2021, 28(3): 25−33. Zou Hanyue, Mao Zhihui, Deng Lei. The influence of sensor band settings on vegetation parameter inversion[J]. Geomatics World, 2021, 28(3): 25−33.
[11]	Chen Shuguo, Du Keping, Lee Z, et al. Performance of COCTS in global ocean color remote sensing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(2): 1634−1644. doi: 10.1109/TGRS.2020.3002460
[12]	Cao Zhigang, Duan Hongtao, Song Qingjun, et al. Evaluation of the sensitivity of China’s next-generation ocean satellite sensor MWI onboard the Tiangong-2 space lab over inland waters[J]. International Journal of Applied Earth Observation and Geoinformation, 2018, 71: 109−120. doi: 10.1016/j.jag.2018.05.012
[13]	张靖玮, 丘仲锋. 针对海洋水域的FY-3D MERSI Ⅱ数据质量评估[J]. 光学学报, 2021, 41(12): 11−30. Zhang Jingwei, Qiu Zhongfeng. Evaluation of data quality of FY-3D satellite sensor MERSI II over marine waters[J]. Acta Optica Sinica, 2021, 41(12): 11−30.
[14]	Li Jian, Chen Xiaoling, Tian Liqiao, et al. Improved capabilities of the Chinese high-resolution remote sensing satellite GF-1 for monitoring suspended particulate matter (SPM) in inland waters: radiometric and spatial considerations[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 106: 145−156. doi: 10.1016/j.isprsjprs.2015.05.009
[15]	Tang Rugang, Shen Fang, Pan Yanqun, et al. Multi-source high-resolution satellite products in Yangtze Estuary: cross-comparisons and impacts of signal-to-noise ratio and spatial resolution[J]. Optics Express, 2019, 27(5): 6426−6441. doi: 10.1364/OE.27.006426
[16]	Gray A, Krolikowski M, Fretwell P, et al. Remote sensing phenology of Antarctic green and red snow algae using World View satellites[J]. Frontiers in Plant Science, 2021, 12: 671981. doi: 10.3389/fpls.2021.671981
[17]	Mueller J L, Fargion G S, Mc Clain C R, et al. Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Revision 4, Volumn Ⅲ: Radiometric Measurements and Data Analysis Protocols[M]. Maryland: National Aeronautical and Space Administration, 2003, 21–30.
[18]	Qi Lin, Lee Z, Hu Chuanmin, et al. Requirement of minimal signal-to-noise ratios of ocean color sensors and uncertainties of ocean color products[J]. Journal of Geophysical Research: Oceans, 2017, 122(3): 2595−2611. doi: 10.1002/2016JC012558
[19]	Hu Chuanmin, Feng Lin, Lee Z, et al. Dynamic range and sensitivity requirements of satellite ocean color sensors: learning from the past[J]. Applied Optics, 2012, 51(25): 6045−6062. doi: 10.1364/AO.51.006045
[20]	崔廷伟, 张杰, 马毅, 等. 赤潮光谱特征及其形成机制[J]. 光谱学与光谱分析, 2006, 26(5): 884−886. Cui Tingwei, Zhang Jie, Ma Yi, et al. Study of red tide spectral characteristics and its mechanism[J]. Spectroscopy and Spectral Analysis, 2006, 26(5): 884−886.