Uncertainties in MODIS-Derived Ulva Prolifera Amounts in the Yellow Sea: A Systematic Evaluation Using Sentinel-2/MSI Observations

Qi, Lin; Wang, Menghua; Hu, Chuanmin

doi:10.1109/lgrs.2023.3272889

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Uncertainties in MODIS-Derived Ulva Prolifera Amounts in the Yellow Sea: A Systematic Evaluation Using Sentinel-2/MSI Observations

2023
By Qi, Lin ; Wang, Menghua ; Hu, Chuanmin
Source: IEEE Geoscience and Remote Sensing Letters, 20, 1-5

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Journal Title:

IEEE Geoscience and Remote Sensing Letters
Personal Author:

Qi, Lin ; Wang, Menghua ; Hu, Chuanmin

Qi, Lin ; Wang, Menghua ; Hu, Chuanmin Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) Less -
Description:

— Uncertainties are an integral part of remote sensing data products in order to quantify changes, yet due to patchiness and spatial heterogeneity, it is difficult to use field measurements to estimate uncertainties in the satellite-derived Ulva prolifera (U. prolifera , also called green tides) amounts in the Yellow Sea. This is perhaps why such estimates are missing in nearly all remote sensing literature on U. prolifera mapping. Here, by com-
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Electrical And Electronic Engineering Geotechnical Engineering And Engineering Geology
Source:

IEEE Geoscience and Remote Sensing Letters, 20, 1-5
DOI:

https://doi.org/10.1109/lgrs.2023.3272889
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1545-598X;1558-0571;
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PDF
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Institute of Electrical and Electronics Engineers (IEEE)
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Journal Article
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https://creativecommons.org/licenses/by-nc-nd/4.0/
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CC BY-NC-ND
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urn:sha256:e55eade2af4cd4954ecc0cf24f34f7ba3d15d3c66bf89dedf01e2929f846ec11
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Uncertainties in MODIS-Derived Ulva Prolifera Amounts in the Yellow Sea: A Systematic Evaluation Using Sentinel-2/MSI Observations

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