1. Life in the Atacama, Design Review, December 19, 2003 Carnegie Mellon Chlorophyll Detector Life in the Atacama Design Review December 19, 2003 David Bradley Fayette Shaw Trey Smith Alan Waggoner Shmuel Weinstein Carnegie Mellon University

2. Life in the Atacama, Design Review, December 19, 2003 Carnegie Mellon Key Requirements Chlorophyll Detector Must detect chlorophyll at small scale Two probes (far and near) Must be integrable Size DC voltage source Data easily logged

3. Life in the Atacama, Design Review, December 19, 2003 Carnegie Mellon Chlorophyll Detection Ops Long-range + bumper Bumper only

4. Life in the Atacama, Design Review, December 19, 2003 Carnegie Mellon Chlorophyll Detection Long-range chlorophyll detector Reflectance Perceptor imager Dual-use VNS Science on the Fly? Chlorophyll bumper (short range) Reflectance (same as above) Fluorescence Imager (FI) - requires active illumination Point fluorometer (Opti-Science) Dual-use fluorescence imager APD + laser (not feasible for September) Survey samples and detailed samples

5. Life in the Atacama, Design Review, December 19, 2003 Carnegie Mellon If we have both VNS and Perceptor imager, can correlate data Long-Range Chlorophyll Detector

6. Life in the Atacama, Design Review, December 19, 2003 Carnegie Mellon (reflectance, as before) Chlorophyll Bumper

7. Life in the Atacama, Design Review, December 19, 2003 Carnegie Mellon Perceptor Pros Imager Being developed in-house Easy to integrate Possibly integrate into SPI Possible far-field detection Cons Reflectance only Threshold needs work Opti-Science Pros Company seems responsive Fluorescence Cons Point sample only Black box Needs more testing / data Active illumination / short range Dual FI Pros Imager Two usages for single device Being developed in-house Easy to integrate Cons Small FOV Daytime issues Little time to make versatile Chlorophyll Detector

8. Life in the Atacama, Design Review, December 19, 2003 Carnegie Mellon Recommendations Perceptor  Both far-field and near-field chlorophyll detection Try single camera approach Refine thresholding algorithm Explore dual-use for SPI