Determining switching threshold for NIR-SWIR combined atmospheric correction algorithm of ocean color remote sensing

Huizeng Liu, Qiming ZHOU, Qingquan Li, Shuibo Hu, Tiezhu Shi, Guofeng Wu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Accurate atmospheric correction is decisive for ocean color remote sensing applications. Near infrared (NIR)-based algorithm performs well for clear waters; while shortwave infrared (SWIR)-based algorithm can obtain good results for turbid waters, however, it tends to produce noisy patterns for clear waters. A practical strategy is to apply NIR- and SWIR-based algorithm for clear and turbid waters, respectively, which is called NIR-SWIR combined atmospheric correction algorithm. However, the currently applied switching scheme for the NIR-SWIR algorithm undermines the atmospheric correction performance. This study aimed to find an applicable switching scheme for NIR-SWIR algorithm. Four MODIS land bands were used to switch the NIR- and SWIR-based algorithms. A simulated dataset was used to evaluate atmospheric performance of NIR- and SWIR-based algorithm. The switching threshold for each MODIS land band was determined as an Rrs value at which SWIR-based algorithm performed better than NIR-based algorithm. The switching scheme was evaluated using matchups of simultaneous MODIS Aqua images and AERONET-OC data, and then tested with a MODIS Aqua image over the western Pacific Ocean. Results showed that the switching threshold for Rrs(469), Rrs(555), Rrs(645)and Rrs(859)were 0.009, 0.016, 0.009 and 0.0006 sr−1, respectively; Rrs(645)with a threshold of 0.009 sr−1 and Rrs(555)with a threshold of 0.016 sr−1 worked well for NIR-SWIR algorithm, while Rrs(469)and Rrs(859)produced worse performance. Therefore, Rrs(555)> 0.016 sr−1 or Rrs(645)> 0.009 sr−1 was recommended as the switching scheme for NIR-SWIR algorithm. Considering contrasted estuarine, coastal and some inland waters, combining NIR- and SWIR-based atmospheric correction algorithm with the proposed switching scheme should be useful for remote sensing monitoring over these waters.

Original languageEnglish
Pages (from-to)59-73
Number of pages15
JournalISPRS Journal of Photogrammetry and Remote Sensing
Volume153
DOIs
Publication statusPublished - Jul 2019

Scopus Subject Areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Computers in Earth Sciences

User-Defined Keywords

  • Aerosol
  • NIR-SWIR
  • Ocean color atmospheric correction
  • Water quality

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