Researchers from China developed the FI-R model, a novel flowering spectral index for the fine-scale extraction of ...

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 ...

Image registration is a fundamental process in remote sensing which involves the precise alignment of images acquired from different sensors, perspectives, or times. This technique is critical for ...

Remote Sensing Scientists use sensors to analyze data and solve regional, national, and global problems in areas such as natural resource management, urban planning, and climate and weather prediction ...

Remote sensing now provides unprecedented opportunities to monitor dynamic land surface processes at multiple spatial and temporal scales. The availability ...

Precision agriculture leverages advanced remote sensing techniques and data‐driven analyses to optimise crop management and improve yield outputs while minimising environmental impact. By integrating ...

An optical principle discovered more than a century ago may soon find new applications in such areas as monitoring atmospheric turbulence, tracking airborne objects, and mapping the environment, ...

WASHINGTON — Xplore, a startup based in Redmond, Washington, announced Jan. 31 it was granted a remote-sensing license from the National Oceanic and Atmospheric Administration (NOAA) for the company’s ...

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 ...

Optical and radar satellite data can be used to monitor hydraulic activities – such as soil moisture and waterbodies – that could provide vital alerts regarding a potential flooding. Credit: pxfuel.

The online and on-campus remote sensing for natural resources certificate program delivers the hands-on experience and technical knowledge needed to excel in natural resources research and management.