Coastal and inland waters are the most affected by changes in environmental conditions, industrial development, or human intervention, leading to an increase in dissolved and suspended particles like ...

Abstract: Cloud detection is crucial for remote sensing image analysis. Presently, deep learning methods are the preferred ... This model is purpose-built for cloud detection and segmentation in ...

Severe weather is here to stay, and to keep vital water assets safe the sector needs a proactive, data-driven approach to ...

You will be redirected to our submission process. The acquisition of global data through remote sensing satellite missions has become of utmost importance for environmental monitoring, weather ...

Here, the authors present Cecelia, an image analysis toolbox based on R and Python, which enables researchers to quantify large scale tissue sections as well as live cell imaging data. Its modular ...