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 ...

Powerful partnerships among Purdue University’s colleges of agriculture, engineering and science will advance digital forestry tools to save time, money and achieve a deeper understanding of an ...

Shadows are present in a wide range of aerial images from forested scenes to urban environments. The presence of shadows degrades the performance of computer vision algorithms in a diverse set of ...

Rendered.ai, the leading platform for physics-based synthetic data, and the Rochester Institute of Technology’s Digital Imaging and Remote Sensing (DIRS) Laboratory today announced a collaboration to ...

The amount of aerial and satellite imagery captured worldwide continues to grow. Yet, efficiently identifying and labeling features in these images—like roofs, cars, or trees—remain challenging. To ...

A research team led by Prof. XIE Chengjun and ZHANG Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a frequency domain-independent feature learning ...

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 ...

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 ...