Remote sensing image scene classification is a vital area of research that involves assigning semantic labels to aerial and satellite imagery based on observed content. Driven by rapid advances in ...

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 ...

A camera in the sky might be one of the best tools for the soil beneath our feet. In fact, Kansas State University researcher Deepak Joshi believes remote sensing — using drones, satellites and ground ...

The accelerated urbanization of landscapes poses significant challenges to the sustainability and ecological integrity of the ...

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 ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

Accelerating climate change and ecosystem degradation demand advanced vegetation monitoring to support global sustainability ...

Add Python to Your Modern GIS Toolkit. Python, that high-level, interpreted programming language known for its simplicity, readability, versatility, and library support, is changing the face of ...

A research group led by Prof. Sun Xiaobing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, ...

Land use and land cover (LULC) analysis has become increasingly significant in environmental studies due to its direct impact on the environment. Changes in LULC affect the ecological and climatic ...

The sun is very far away and extremely hot. In order to study the sun we need specialized equipment that looks at it using different wavelengths. Using different wavelengths provides us with a variety ...