Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …

Accurate water extraction and quantitative estimation of water quality are two key and
challenging issues for remote sensing of water environment. Recent advances in remote …

Atmospheric correction over inland and coastal waters is one of the major remaining
challenges in aquatic remote sensing, often hindering the quantitative retrieval of …

Suspended particulate matter (SPM) in lakes exerts strong impact on light propagation,
aquatic ecosystem productivity, which co-varies with nutrients, heavy metal and micro …

Constructing multi-source satellite-derived water quality (WQ) products in inland and
nearshore coastal waters from the past, present, and future missions is a long-standing …

The pollution or eutrophication affected by dissolved organic matter (DOM) composition and
sources of inland waters had attracted concerns from the public and government in China …

Accurate, high spatial and temporal resolution water quality monitoring in inland waters is
vital for environmental management. However, water quality monitoring in inland waters by …

Lake eutrophication has attracted the attention of the government and general public.
Chlorophyll-a (Chl-a) is a key indicator of algal biomass and eutrophication. Many efforts …

Eutrophication of the eastern plain lake (EPL) region has a significant impact on the
sustainable economic development and is closely related to the shortage of water resources …

China has one of the widest distributions of carbonate rocks in the world. Karst wetland is a
special and important ecosystem of carbonate rock regions. Chlorophyll-a (Chla) …