Abstract
Suspended particulate matter (SPM) is one of the key issues in estuarine and coastal waters, which is widely used in water quality assessment, river erosion and siltation, and port engineering. The Wide-band Imaging Spectrometer (WIS) as one of the payloads mounted on the Tiangong-2 (TG-2) is a successor of spaceborne ocean color sensors. In this study, data from Geostationary Ocean Color Imager (GOCI) launched by Korean ocean satellite center (KOSC) and in situ measurements are used to compare and evaluate data products acquired by the TG-2/WIS. Comparison results show that the TOA reflectances of TG-2 /WIS and GOCI agree well at visible and near-infrared bands. Atmospherically-corrected remote sensing reflectances (Rrs) from TG-2/WIS and GOCI have good correspondences from visible to near-infrared bands Their root mean square differences (RMSD) at 660 and 745 nm are less than 0.04 sr−1, and the TG2/WIS observed Rrs is slightly underestimated at 865 nm with the slope of 0.77. Moreover, the derived SPM concentrations from TG-2/WIS and GOCI data are quite approximate. It implies that the accuracy of TG-2/WIS data products can meet the need of marine environmental monitoring in estuaries and coastal regions. In addition, in contrast to other ocean color sensors, the TG-2/WIS may have greater potentials of water color applications, especially for meso- and small-scale phenomena and optically complex waters, due to its multi-bands and high spatial resolution advantages.
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References
Yang, S.L., Milliman, J.D., Li, P., Xu, K.: 50,000 dams later: erosion of the yangtze river and its delta. Global Planet. Change 75, 14 (2011)
Chen, J., Ni, X., Mao, Z., Wang, Y., Liang, L., Gong, F.: Remote sensing and buoy based effect analysis of typhoon on hypoxia off the Changjiang (Yangtze) estuary. In: Proceedings of SPIE - The International Society for Optical Engineering. 8532. 11 (2012)
Du, J.L., Yang, S.L., Zhang, W.X., Li, P., Zhao, H.Y.: Study of influence on erosion and accumulation of Jiuduansha Tidal Island by deep-water channel project at north passage of the Yangtze River. Ocean Eng. 23, 78 (2005)
Shen, F., Zhou, Y., Li, J., He, Q., Verhoef, W.: Remotely sensed variability of the suspended sediment concentration and its response to decreased river discharge in the Yangtze estuary and adjacent coast. Cont. Shelf Res. 69, 52 (2013)
Yu, X.L.: Retrieval of Suspended Matter Concentration and Reconstruction of Missing Data Based on GOCI in Bohai and Yellow Sea. Ocean University of China (2013)
Peng, X.Y.: Retrivals of Surface Suspended Particulate Matter Concentration and Its Variation In Yangtze River estuary Using Multiple Polar-Orbiting and Geostationary Satellites. East China Normal University (2015)
Frouin, R. (ed.): In-flight Calibration of Satellite Ocean-Colour Sensors. Reports of the International Ocean-Colour Coordinating Group, No. 14, IOCCG, Dartmouth, Canada
Le, C., Hu, C., English, D., Cannizzaro, J., Chen, Z., Feng, L., Boler, R., Kovach, C.: Towards a long-term chlorophyll-a data record in a turbid estuary using MODIS observations. Progress Oceanogr. 109, 90 (2013)
Shen, F., Verhoef, W., Zhou, Y., Salama, M.S., Liu, X.: Satellite Estimates of Wide-Range Suspended Sediment Concentrations in Changjiang (Yangtze) estuary Using MERIS Data. Estuaries and Coasts. 33. 1420 (2010)
Montes-Hugo, M.A., Mohammadpour, G.: Satellite-derived suspended particulates in the Saint Lawrence estuary: uncertainties due to bottom effects. Canadian J. Remote Sens. 39, 444 (2013)
Sakuno, Y.: Chlorophyll data fusion in Tachibana Bay using COMS GOCI and modis data by the LCI method. Geosci. Remote Sens. Symp. vol, 1594 (2014)
Cao, Z., Duan, H., Song, Q., Shen, M., Ma, R., Liu, D.: Evaluation of the sensitivity of China’s next-generation ocean satellite sensor MWI onboard the Tiangong-2 space lab over inland waters. Int. J. Appl. Earth Obs. Geoinf. 71, 109 (2018)
Zhao, J., Qing, H.E., Wang, X.Y., Guo, L.C.: Field observations on the characteristics of current and sediment of the south and north branches in the yangtze estuary. Resources & Environment in the Yangtze Basin (2015)
Pan, Y., Shen, F., Verhoef, W.: An improved spectral optimization algorithm for atmospheric correction over turbid coastal waters: A case study from the Changjiang (Yangtze) estuary and the adjacent coast. Remote Sens. Environ. 191, 197 (2017)
Ahmad, Z., et al.: New aerosol models for the retrieval of aerosol optical thickness and normalized water-leaving radiances from the SeaWiFS and MODIS sensors over coastal regions and open oceans. Appl. Optics 49(5545) (2010)
Shen, F., Zhou, Y., Peng, X., Chen, Y.: Satellite multi-sensor mapping of suspended particulate matter in turbid estuarine and coastal ocean, China. Int. J. Remote Sens. 35, 4173 (2014)
Luo, Y., Doxaran, D., Ruddick, K., Shen, F., Gentili, B., Yan, L., Huang, H.: Saturation of water reflectance in extremely turbid media based on field measurements, satellite data and bio-optical modelling. Opt. Express 26, 10435 (2018)
Acknowledgments
This study is supported by National Key R&D Program of China (no. 2016YFE0103200) and NSFC projects (no. 41771378, 51739005). KORDI/KOSC is grateful for the GOCI imagery. Thanks to China Manned Space Engineering for providing space science and application data products of Tiangong-2.
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Tang, R. et al. (2019). Cross-Comparison of Ocean Color Products Derived from Tiangong-2/WIS and GOCI in the Yangtze Estuary, China. In: Gu, Y., Gao, M., Zhao, G. (eds) Proceedings of the Tiangong-2 Remote Sensing Application Conference. Lecture Notes in Electrical Engineering, vol 541. Springer, Singapore. https://doi.org/10.1007/978-981-13-3501-3_19
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DOI: https://doi.org/10.1007/978-981-13-3501-3_19
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