Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

"Sensing Intelligence and Machine Learning" describes the combination of artificial intelligence (AI) and machine learning (ML) approaches with sensor technologies. This fusion improves sensor ...

Cloud detection in remote sensing images is a fundamental pre-processing step that underpins accurate Earth observation analyses. Over the past decades, researchers have developed a wide range of ...

The extreme weather events and resulting destruction that have hit New Zealand this summer are not only signs of a changing climate. They also highlight the now indispensable role of remote sensing ...

Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate risks and uncertainty regarding agricultural ...

A camera usually requires a lens system to capture a focused image, and the lensed camera has been the dominant imaging solution for centuries. A lensed camera requires a complex lens system to ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

In a significant development for 'lens-less' imaging, researchers have devised a new image reconstruction method that enables high-quality imaging in a short computing time. The new method is based on ...