Abstract
Using radial sand ridges area in the South Yellow Sea as a case study, we developed an approach to retrieve turbidity using HJ-1A/B CCD data. HJ-1A/B CCD imagery could be an ideal data to monitor turbidity with high spatial resolution (30 m) and short revisit time (2 days). The logarithmic retrieval algorithm was established utilizing the in situ measured turbidity and remote sensing reflectance, and proved to be suitable by validation data. A new atmospheric correction method for HJ-1A/B CCD imagery was applied with the aid of aerosol information retrieved from MODIS-Terra with a simple extension of the NIR-SWIR combined atmospheric correction approach, and could satisfy the precision demand of turbidity retrieval. In the end, the turbidity distribution was retrieved on 27th April 2009 and 26th May 2009. It was shown that HJ-1A/B CCD data has the potential to monitoring the turbidity after applying proper atmospheric correction method and retrieval model in the study area.
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Yu, Z., Chen, X., Tian, L., Yuan, X., Liu, H., Wu, K. (2012). Remote Sensing Retrieval of Turbidity Near Radial Sand Ridges Area in the South Yellow Sea Using HJ-1A/B CCD Imagery. In: Deng, W. (eds) Future Control and Automation. Lecture Notes in Electrical Engineering, vol 172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31006-5_15
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DOI: https://doi.org/10.1007/978-3-642-31006-5_15
Publisher Name: Springer, Berlin, Heidelberg
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