Remote Sensing
Remote sensing reveals insight where direct measurement is not possible. At cosine, remote sensing is a core capability for understanding Earth, atmosphere, oceans, and planetary environments, supporting missions where reliable insight matters most.
Services
cosine combines scientific insight with a wide range of remote sensing techniques, including altimetry, spectrometry, radiometry, multispectral, stereo, and high-resolution imaging, to create integrated measurement solutions. Depending on the challenge, we apply proven optical instrumentation or develop new technologies tailored to the mission.
The remote sensing instruments designed by cosine are best described as small, smart, and elegant, engineered to deliver high performance while meeting strict constraints on volume, mass, and power in real-world operational environments.
Technologies
Hyperspectral
Hyperspectral imaging captures a full spectrum for every image pixel, enabling detailed identification of materials and conditions. This allows cosine to derive insight into vegetation health, algae presence, snow cover, drought stress, and other environmental indicators from spatially resolved data.
Polarimetry
Polarimetric imaging analyses how light scatters from surfaces and particles. By interpreting these scattering properties, cosine can distinguish between elements such as water droplets, dust, sand, and snow, supporting air quality assessment and surface layer analysis.
Spectroscopy
Spectroscopic imaging measures the presence and concentration of specific molecules in the atmosphere. This enables the creation of spatial maps of air quality, aerosols, smoke, and gas emissions, supporting monitoring and environmental assessment.
Infrared
Infrared imaging captures thermal and molecular information beyond the visible spectrum. It enables the detection of temperature differences, fires, and moisture-related properties, even in darkness or obscured conditions where visible imaging is insufficient.
LIDAR
LIDAR uses laser pulses to measure distances with high accuracy. This supports precise mapping of terrain, water levels, vegetation height, and built structures, as well as profiling clouds, smog, and other atmospheric components.
Artificial Intelligence
Artificial intelligence enables efficient interpretation of complex remote sensing data. By combining physics-based models with data-driven methods, cosine applies AI to extract reliable insight from imaging data, even under limited onboard processing resources.
Related case studies
See how specific measurement challenges are translated into working systems using this technology.
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