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 ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Plants reflect urban climate and soil conditions with remarkable precision. Using more than 80 million observations from ...

Remote-sensing technology allows engineers and scientists to map land, forests, water bodies, and minerals without physically ...

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 ...

Satellites, planes, drones, canoes, and more were deployed at RIT’s Tait Preserve for ROCX 2025, an open-community, major data-collection experiment. Building off similar experiments done in 2010 and ...

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).

Using aerial imagery data and LiDAR, a study remotely identified the hardest-hit areas of Southwest Florida's Estero Island in the aftermath of Hurricane Ian. Researchers estimated the extent 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 ...