Accurate semantic segmentation of high-resolution remote sensing images is crucial for urban planning, land cover mapping, and environmental monitoring. However, this task remains challenging due to ...

Grassland voles pose significant challenges to agriculture and public health due to their population outbreaks. Traditional monitoring methods are labor-intensive and costly, particularly in ...

Turbulence, temperature changes, water vapor, carbon dioxide, ozone, methane, and other gases absorb, reflect, and scatter sunlight as it passes through the atmosphere, bounces off the Earth's surface ...

Urban areas are increasingly vulnerable to climate-related risks such as extreme heat, flooding, drought, and compound ...

This Research Topic addresses critical limitations in conventional remote sensing for monitoring terrestrial ecosystems ...

Artificial intelligence (AI) can identify landslides and other geological changes that threaten electricity transmission towers, potentially helping operators intervene before infrastructure fails, ...

Fiber-optic spectroscopy leverages light-guiding technology for remote sensing, offering a robust solution for real-time data ...

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

A team of CU Boulder researchers has introduced a quantum sensing technique that could lead to improvements in how we monitor infrastructure, detect changes in the environment and conduct geophysical ...

Advance Your GI Science Knowledge With MTU's Remote Sensing Certificate. Mountainous terrain, dense forests, swamps and wetlands, and coastal groves and mangroves. These are some examples of difficult ...