Remote sensing methods have the potential to improve lake water quality monitoring and
decision-making in water management. This review discusses the use of remote sensing …

This review examines the integration of remote sensing technologies and machine learning
models for efficient monitoring and management of lake water quality. It critically evaluates …

Efficient monitoring of water quality parameters (WQPs) is crucial for environmental health.
Drone hyperspectral images have offered the potential for the flexible and accurate retrieval …

According to current research, machine learning algorithms have been proven to be
effective in detecting both optical and non-optical parameters of water quality. The use of …

Water bodies are crucial components of urban ecology. The development of rapid and timely
water-quality assessment tools using easily measured variables is essential for the health …

Uncrewed-Aerial Vehicles (UAVs) and hyperspectral sensors are emerging as effective
alternatives for monitoring water quality on-demand. However, image mosaicking for largely …

Monitoring water quality is crucial for understanding aquatic ecosystem health and changes
in physical, chemical, and microbial water quality standards. Water quality critically …

The timely and precise prediction of winter wheat yield plays a critical role in understanding
food supply dynamics and ensuring global food security. In recent years, the application of …

Over the last three decades, satellite imagery has been instrumental in map** and
monitoring water quality. However, satellites often have limitations due to image availability …

Rural wetlands are complex landscapes where rivers, croplands, and villages coexist,
making water quality monitoring crucial for the well-being of nearby residents. UAV-based …