Impact of the Uncertainties of Polarized Water-Leaving Radiance on the Retrieval of Oceanic Constituents and Inherent Optical Properties in Global Oceans via Multiangle Polarimetric Observations
Compared with traditional single-view and radiometric-only observations, multiangle polarimetric observations of water-leaving radiation play a crucial role in enhancing the retrieval of ocean constituents and aerosol microphysical properties. In this study, the impacts of uncertainties in the degree of polarization (DOP) of water-leaving radiance (Lw) on the retrieval of oceanic constituents and inherent optical properties (IOPs) were investigated via global radiative transfer (RT) simulations and the fully connected U-Net (FCUN) model. The uncertainties in the retrieval of oceanic constituents and IOPs were further investigated with various sensor azimuth angles. The results indicated that the global mean absolute percentage errors (MAPEs) for differing oceanic constituents and IOPs significantly decreased as the number of observation angles increased. Taking the retrieval of Chla as an example, the global MAPEs between the FCUN predictions and RT simulation inputs for Chla concentrations under differing observation angles were 7.41%, 3.76%, 2.70%, 2.44%, 2.62%, and 1.82%. Moreover, the MAPEs at sensor azimuth angles of 0° and 30° were significantly lower than those at other azimuth angles for the single-view observations. As the number of observation angles increased, the variation in MAPEs with the sensor azimuth angle gradually weakened. Furthermore, the impact of errors in the Lw DOP on the retrieval uncertainties decreased as the number of observation angles increased, and the global MAPEs of Chla after adding the various random instrument noises were 46.56% (46.91%), 6.59% (7.21%), 5.21% (5.79%), 4.72% (4.98%), 3.99% (4.52%), and 3.64% (4.03%). Overall, the multiangle polarimetric observations can suppress or balance the impact of uncertainties in the Lw DOP on the retrieval of oceanic constituents and IOPs.
Authors
- Bingliang Hu (ORCID: https://orcid.org/0000-0003-3216-5013)
- Xiangpeng Feng
- Tieqiao Chen
- Xianqiang He (ORCID: https://orcid.org/0000-0001-7474-6778)
- Yan Bai (ORCID: https://orcid.org/0000-0001-9367-508X)
- Yihao Wang
- Delu Pan (ORCID: https://orcid.org/0000-0002-8438-2848)
- Geng Zhang (ORCID: https://orcid.org/0000-0002-0958-8512)
- Siyuan Li (ORCID: https://orcid.org/0009-0008-6536-9403)
- Chunxia Li (ORCID: https://orcid.org/0000-0001-8102-137X)
- Bo Qu (ORCID: https://orcid.org/0000-0002-0973-7274)
- Jia Liu (ORCID: https://orcid.org/0000-0001-7232-6235)
- Xinyin Jia
- Yupeng Liu (ORCID: https://orcid.org/0000-0001-8347-7338)
- Dong Liu (ORCID: https://orcid.org/0000-0001-6924-0748)
Institutions
- Chinese Academy of Sciences (CN)
- Ministry of Natural Resources (CN)
- Institute of Oceanology (CN)
- South China Sea Institute Of Oceanology (CN)
- Second Institute of Oceanography (CN)
- Nanjing Institute of Geography and Limnology (CN)
- Xi'an Institute of Optics and Precision Mechanics (CN)
- University of Chinese Academy of Sciences (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-03-24
- DOI
- https://doi.org/10.3390/rs17071148
- Citations
- 1
- Primary Topic
- Geological and Geophysical Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.35
Funders
- National Natural Science Foundation of China