2022
DOI: 10.1109/jstars.2022.3166398
|View full text |Cite
|
Sign up to set email alerts
|

The Impact of Glacial Suspension Color on the Relationship Between Its Properties and Marine Water Spectral Reflectance

Abstract: This study enabled us to determine the sources of sediment for glacial catchments and investigate the differences in properties, i.e., suspended sediment concentration (SSC), turbidity measured in the laboratory (TLAB) and in the field (TF), mean particle diameter (MPD) and chemical composition, between two different-colored sediments that flowed from the glacier terminus. Additionally, the relationship between these properties for two types of suspensions and remote sensing reflectance (RRS) was tested, and t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 31 publications
0
1
0
Order By: Relevance
“…However, research must continue to enable retrievals in extremely contaminated sunglint scenes during eutrophic/turbid conditions in summer periods, as demonstrated in this study (Figure 6), as well as the analysis of other biogeochemical variables, such as Colored Dissolved Organic Matter (CDOM). In addition, as shown in recent research by Wójcik-Długoborska [63], turbidity measurements in the field may differ from those taken in the laboratory and thus provide different correlations between reflectance and the true value of turbidity. Therefore, we intend to focus additional research on this aspect during the coming field campaigns.…”
Section: An Early Warning Tool With High Spatial Resolutionmentioning
confidence: 99%
“…However, research must continue to enable retrievals in extremely contaminated sunglint scenes during eutrophic/turbid conditions in summer periods, as demonstrated in this study (Figure 6), as well as the analysis of other biogeochemical variables, such as Colored Dissolved Organic Matter (CDOM). In addition, as shown in recent research by Wójcik-Długoborska [63], turbidity measurements in the field may differ from those taken in the laboratory and thus provide different correlations between reflectance and the true value of turbidity. Therefore, we intend to focus additional research on this aspect during the coming field campaigns.…”
Section: An Early Warning Tool With High Spatial Resolutionmentioning
confidence: 99%
“…Beyond color development by phytoplankton, there is a growing interest in utilizing satellite detection of environmental indicators through color mappings (Cael et al, 2023). This approach holds promise for correlating with inorganic nanopollutant dispersions resulting from natural processes, mining activities, or industrial wastes (Wójcik-Długoborska et al, 2022). Moreover, lab research on the absorption/fluorescence of biological and organic species in water samples further provides a useful avenue for refining fluorescence satellite detectors, enhancing their ability to detect and analyze such contaminants in water reservoirs (Garaba et al, 2023).…”
Section: How Can Nanotechnology and Satellite Technology Benefit Each...mentioning
confidence: 99%
“…For instance, in the case of snow pollutants, i.e., black carbon, there is a lack of universally developed algorithms (Beltramone et al, 2021). Another emblematic issue is related to water-color applications, where most efforts are oriented towards developing models and implement algorithms based on biological causes (e.g., phytoplankton) rather than on organic/inorganic micro/nanoparticles (e.g., microplastics (Waqas et al, 2023), silicates (Wójcik-Długoborska et al, 2022) and acid drain mining residues (Isgró et al, 2022)). In these cases, nanotechnology applied to field detection and characterization can become an indispensable tool to address this gap.…”
Section: Introductionmentioning
confidence: 99%
“…A high correlation (r > 0.87) was established for in situ measured optical WQPs and the parameters predicted by the optical water-type guided approach. The amount of SSC and turbidity affects the reflectance of light with the relationship between spectral reflectance and SSC or turbidity often described as a positive linear correlation or nonlinear regression in the visible and the NIR wavelengths [152,153].…”
Section: Optical Characterization Of Tds and Tssmentioning
confidence: 99%