To what extent can Ulva and Sargassum be detected and separated in satellite imagery?
Detection limit
Discrimination limit
East China Sea
MSI
OLCI
Remote sensing
Sargassum horneri
Ulva prolifera
Yellow sea
Journal
Harmful algae
ISSN: 1878-1470
Titre abrégé: Harmful Algae
Pays: Netherlands
ID NLM: 101128968
Informations de publication
Date de publication:
03 2021
03 2021
Historique:
received:
16
08
2020
revised:
17
02
2021
accepted:
18
02
2021
entrez:
13
5
2021
pubmed:
14
5
2021
medline:
28
5
2021
Statut:
ppublish
Résumé
Blooms of floating macroalgae have been reported around the world, among which are recurrent blooms of Ulva prolifera and Sargassum horneri in the Yellow Sea and East China Sea. While satellite remote sensing has often been used to estimate their distributions and abundance as well as to trace their origins, because the algae mats are often much smaller than the size of an image pixel, it is unclear to what extent they can be detected and discriminated from each other in satellite imagery. Using data collected from laboratory experiments and by the Sentinel-3 OLCI (Ocean and Land Colour Instrument) and Sentinel-2 MSI (Multi Spectral Instrument) satellite instruments, we conduct simulated experiments to determine the lower detection limit and discrimination limit for these two macroalgae in different water environments and under different atmospheric conditions. For OLCI, the detection limit for both macroalgae is about 0.5% of a pixel, while the discrimination limit varies between 0.8% for clear water and 2% for turbid water. For MSI, the detection limit is about 2%, while the discrimination limit is about 6% for all water types. Below these two limits, detection and discrimination of macroalgae in these regions using the two sensors are subject to large uncertainties, thus requiring additional caution when interpreting algae areas and tracing algae origins.
Identifiants
pubmed: 33980441
pii: S1568-9883(21)00028-7
doi: 10.1016/j.hal.2021.102001
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
102001Informations de copyright
Copyright © 2021. Published by Elsevier B.V.