2021
DOI: 10.3390/rs13142699
|View full text |Cite
|
Sign up to set email alerts
|

Water Mixing Conditions Influence Sentinel-2 Monitoring of Chlorophyll Content in Monomictic Lakes

Abstract: Prompt estimation of phytoplankton biomass is critical in determining the ecological quality of freshwaters. Remote Sensing (RS) may provide new opportunities to integrate with situ traditional monitoring techniques. Nonetheless, wide regional and temporal variability in freshwater optical constituents makes it difficult to design universally applicable RS protocols. Here, we assessed the potential of two neural networks-based models, namely the Case 2 Regional CoastColour (C2RCC) processor and the Mixture Den… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 69 publications
0
2
0
Order By: Relevance
“…Table 4 provides examples of operational DCs initiatives around the globe related to the water ecosystem, proving that the big data management is not an excuse for not using new technologies when there are existing tools that are being applied with great success. Our work highlighted the recent trend to use EO big data processing platforms that are also able to execute user-defined algorithms by the various research groups which was difficult to deploy on the existing geographical information systems as a simple plugin, such as the Semi-automatic Classification Plugin [88].…”
Section: Yearmentioning
confidence: 99%
“…Table 4 provides examples of operational DCs initiatives around the globe related to the water ecosystem, proving that the big data management is not an excuse for not using new technologies when there are existing tools that are being applied with great success. Our work highlighted the recent trend to use EO big data processing platforms that are also able to execute user-defined algorithms by the various research groups which was difficult to deploy on the existing geographical information systems as a simple plugin, such as the Semi-automatic Classification Plugin [88].…”
Section: Yearmentioning
confidence: 99%
“…While innovative approaches are being tested for the assessment of large, permanent water bodies, similar techniques are lacking for the monitoring of temporary ponds. Indeed, recent studies have successfully used machine-learning methods and satellite remotesensing time series analysis for spatio-temporal monitoring of the water coverage and quality of lakes and aquaculture ponds [32][33][34][35][36]. However, the implementation of such techniques on small temporary ponds has been hampered by the limited extent and dynamism of these ponds due to short water detention.…”
Section: Introductionmentioning
confidence: 99%