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 ...

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 ...

Inertial Labs has released a remote sensing payload instrument. The Resepi Hesai XT32 laser is designed for accurate remote-sensing applications. The Resepi laser can be used with commercially ...

Geostationary satellite observations with remote sensing techniques can provide the distributions of cloud top height (CTH), cloud optical thickness (COT) and cloud-particle effective radius (CER).

Artificial Intelligence (AI) is a broad and rapidly evolving field within computer science focused on developing smart ...

No audio available for this content. NV5 Geospatial’s distribution network data shows pole usage. (Image: Nv5 Geospatial) Asset and vegetation management applications help utilities minimize risk and ...

A research team led by Becquerel Sweden has developed a generalizable snow loss model to estimate snow-induced PV power losses on an hourly basis. It relies on PV system data derived solely from ...

Rep. Frank Lucas (R-Okla.), new chairman of the House Science Committee, speaks on the House floor Jan. 30 about a commercial remote sensing bill. Credit: C-SPAN WASHINGTON — The House Science ...

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 ...