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 ...

Remote sensing technology has come a long way since Gaspard Felix Tournachon’s pioneering aerial photographs in 1858. While the technology has advanced, there is one aspect of remote sensing that has ...

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 ...

Geographic surveys have changed in the last 150 years. What started with early film cameras strapped to hot air balloons, kites and homing pigeons has advanced — both in terms of sensors and the ...

Iintegrating data from multiple sensing sources, multispectral and hyperspectral imaging, LiDAR, and thermal cameras, enables ...

Capacitive sensing is a contactless-sensing technique with numerous applications, ranging from proximity sensing (Fig. 1), gesture recognition, automotive rain sensors, and remote liquid-level sensing ...

Uncover how mixed-signal ICs are transforming medical wearables with smaller and more power-efficient sensor integration, ...

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 ...