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 ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

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 ...

Michigan Technological University’s Michigan Tech Transportation Institute (MTTI) and Michigan Tech Research Institute (MTRI), in cooperation with the Center for Automotive Research and the Michigan ...

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 ...

Real-Time Asset Intelligence, AI-Enabled Analytics, and Critical Infrastructure Protection Redefine Long-Distance Sensing ...

Global Remote Sensing Satellite Market to Expand at 12.56% CAGR as Governments and Commercial Sectors Increase Investments in Space-Based Intelligence and Monitoring TechnologiesAustin, Texas, Jan. 29 ...

Implementing roadside technology to detect high-emitting vehicles improves urban air quality. Cities that adopt roadside emissions sensors to detect high polluting vehicles, together with an ...

Climate volatility, rising input costs, labor shortages, and global food demand are pushing farming systems beyond the limits ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

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 ...