Mar 13, 2020 · By incorporating the use of a Landsat-8/Sentinel-2 virtual constellation and deep learning regression methods for the estimation of key water quality variables we aim to …

Mar 13, 2020 · In this study, we apply a novel deep learning method for the estimation of blue-green algae (BGA), chlorophyll-α (Chl), fluorescent dissolved organic matter (fDOM), dissolved …

Nov 8, 2021 · This research highlighted the application of OLI-MSI virtual constellation on monitoring floating algae in a small lake, providing a practical and theoretical reference to …

Jun 1, 2024 · In this study, we calculated the traditional revisit period of Landsat 8/9-Sentinel 2A/B virtual constellation globally (excluding Polar regions). To address the impact of …

Monitoring of inland water quality is of significant importance due to the increase in water quality related issues, especially within the Midwestern United States. Traditional monitoring technique...

Jan 1, 2019 · Recognizing the differences in their spectral and spatial sampling, to generate a seamless data record for global water quality monitoring, it is critical to quantify how well the …

A harmonized Chl-a dataset for the lakes in the Yunnan–Guizhou Plateau in China from 2013 to 2022 is generated, highlighting a solution to establish the Landsat/Sentinel-2 virtual …

Sep 2, 2023 · We first tested the performance of three atmospheric correction methods to retrieve consistent reflectance from MSI and OLI images.

In this paper, we show a first evaluation of the MultiSpectral Imager on Sentinel-2 (S2/MSI) for aquatic remote sensing applications, and compare it with the Operational Land Imager on …

In this study, we apply a novel deep learning fi method for the estimation of blue-green algae (BGA), chlorophyll-α (Chl), uorescent dissolved fl organic matter (fDOM), dissolved oxygen …