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

i

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

Select the Download button to view the document

Please click the download button to view the document.

Details

Journal Title:

IEEE Geoscience and Remote Sensing Letters
Personal Author:

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

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

Electrical And Electronic Engineering Geotechnical Engineering And Engineering Geology Electrical And Electronic Engineering Geotechnical Engineering And Engineering Geology 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
ISSN:

1545-598X ; 1558-0571
Format:

PDF
Publisher:

Institute of Electrical and Electronics Engineers (IEEE)
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
Compliance:

Library
Main Document Checksum:

urn:sha256:e55eade2af4cd4954ecc0cf24f34f7ba3d15d3c66bf89dedf01e2929f846ec11
Download URL:

https://repository.library.noaa.gov/view/noaa/54424/noaa_54424_DS1.pdf
File Type:

[PDF - 15.95 MB ]

ON THIS PAGE

Details

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.