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 ...

The U.S. Naval Research Laboratory (NRL) launched a groundbreaking remote sensing experiment, Coastal Hyperspectral Reflectance Object Material Analysis (CHROMA), Sept. 4-19, 2025, designed to ...

BEIJING -- The Wuyang Constellation project, China's first low-latitude remote sensing and communication integrated satellite network, is scheduled to complete the launch of three pioneer satellites ...

World View and Ball Aerospace successfully completed a Stratollite mission earlier this month, demonstrating early capabilities for remote sensing applications from the stratosphere, nearly 70,000 ...

The development of compact lightweight analogue edge detecting image processors is of particular interest for remote sensing applications such as environmental monitoring and surveillance, due to its ...

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).

The soil–vegetation mixture scenarios simulated in the LESS model. Subplots (A) to (C), (D) to (F), and (G) to (I) show tree, crop, and grass scenes, respectively, under low, medium, and high FVC.

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 ...

NXP Semiconductors unveils its i.MX 952 AI-enabled applications processor for automotive human-machine interfaces (HMIs), in-cabin sensing, and vision applications. This new applications processor ...

The Remote Sensing for Natural Resources certificate focuses on using satellite and aerial imagery to monitor, measure, and model natural systems. Learn how to interpret remote sensing data to support ...