The market presents promising opportunities in climate monitoring, defense, and telecommunications Medium Earth Orbit (MEO) ...

Three studies conducted with the collaboration of the Helmholtz Institute Freiberg for Resource Technology, an institute of the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), show significant progress ...

This Research Topic addresses critical limitations in conventional remote sensing for monitoring terrestrial ecosystems ...

Fiber-optic spectroscopy leverages light-guiding technology for remote sensing, offering a robust solution for real-time data ...

How global mining enterprises are eliminating operational friction to transform remote sensing into a core driver of safety, efficiency, and sustainability. Some […] ...

There are repeated calls for remote sensing observations to produce accessible data products that improve our understanding and conservation of biodiversity. The Biodiversity Survey of the Cape ...

The need for monitoring and managing urban areas is amplified by the concern over global climate change. Cities are among the most complex of human settlements, and urban areas may be more vulnerable ...

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.

The National Spatial Data Infrastructure (NSDI) includes orthoimages of the country’s territory based on aerial photographs.

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 ...

On June 17, the 4th Meishan Satellite Application Industry Development Conference opened in Meishan, China. At the conference, government and business guests from countries including Laos, Oman, ...

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 ...