Understanding and predicting the quality of inland waters are challenging, particularly in the
context of intensifying climate extremes expected in the future. These challenges arise partly …

In recent years, deep learning has significantly reshaped numerous fields and applications,
fundamentally altering how we tackle a variety of challenges. Areas such as natural …

Because deep learning has various downsides, such as complexity, expense, and the need
to wait longer for results, this creates a significant incentive and impetus to invent and adopt …

Secchi disk depth (SDD) is a simple but particularly important indicator for characterizing the
overall water quality status and assessing the long-term dynamics of water quality for …

Remote estimation of Chlorophyll-a (Chl-a) has long been used to investigate the responses
of aquatic ecosystems to global climate change. High-spatiotemporal-resolution Sentinel-2 …

Abstract Secchi Disk Depth (Z sd) is one of the most fundamental and widely used water-
quality indicators quantifiable via optical remote sensing. Despite decades of research …

Phosphorus is widely recognized as a nutrient that restricts growth and is the primary
contributor to eutrophication in 80% of water bodies. Consequently, the Chinese …

With an identical design and build, the Operational Land Imager-2 (OLI2) aboard Landsat-9
(L9) complements OLI observations by reducing the global revisit rate of Landsat to 8 days …

Abstract Chlorophyll-a (Chl-a) concentration is a reliable indicator of phytoplankton biomass
and eutrophication, especially in inland waters. Remote sensing provides a means for large …