SWaP-efficient, fast-wavelength-steering and time-division-multiplexing lidar technology capable of multi-beam ranging and concurrent hyper-spectral imaging
Description
We propose to integrate next-generation lidar, compact hyperspectral imaging and Artificial Intelligence (AI) technologies to provide a new remote sensing measurement capability for a broad range of Earth and planetary science objectives.
Detailed example
Predictions
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
A groundbreaking lidar module consisting of a high-pulse-rate, fast-wavelength-tuning fiber laser and time-division-multiplexing receiver will make height measurements using 60 steerable beams with drastically increased efficiency compared to the state-of-the-art. Concurrent hyperspectral imaging will greatly enhance science capabilities and real-time, AI neural network analysis of the images will enable optimized data collection and on-board processing. Incorporating these multiple emerging technologies will substantially reduce instrument size, weight and power thereby enabling lower-cost SmallSat-class missions with enhanced scientific return compared to the present day
Controls / human review
ATO: Not reported; PIA: Not published