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

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

The integration of traditional forest inventory techniques with advanced remote sensing technologies has revolutionised the estimation of biomass in forest ecosystems. This interdisciplinary approach ...

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 ...

Picture an aircraft streaking across the sky at hundreds of miles per hour, unleashing millions of laser pulses into a dense ...

Professor Ruiliang Pu, a distinguished figure in the field of hyperspectral remote sensing, left a profound legacy through his groundbreaking work. His research has transformed how we understand ...

Primary forests, or old-growth forests as they are sometimes called, are epicenters of rich biodiversity, are more resilient than younger forests, and store significantly more carbon than their ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and multispectral photography. While radar and LiDAR penetrate canopies to reveal ...

Deforestation and forest degradation are both significant conservation issues. But charities around the world are starting to use advanced technologies, such as AI and remote sensing, to get on top of ...

Tsukuba, Japan—Forests, known as nature's "green dams," play a crucial role in replenishing Earth's groundwater reserves. However, overcrowding in planted forests due to lack of maintenance activities ...

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 ...