2026-09-22T02:25:10Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/110576 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Optical remote sensing of thermospheric emission with the Sky-Calibrated Imaging Photometer text Thesis Waldrop, Lara Haken, Dawn 2021-09-17T01:13:28Z 2021-09-17T01:13:28Z 2021-04-27 2021-05 Optical remote sensing of emission lines is a well-established approach to estimating atmospheric parameters. The neutral oxygen 844.6 nm emission line has long been considered a good candidate for estimating the oxygen density in the upper thermosphere due to its brightness and relatively simple photochemistry. The primary challenge is that oxygen density estimation requires knowledge of the absolute brightness of the emission line. This thesis presents the design, operation, and analysis of the Sky-Calibrated Imaging Photometer (SCIP). SCIP is a new ground-based instrument with the novel capability of absolute brightness calibration using astronomical sources. The derivation of the emission line brightness from a two-channel photometer is presented, followed by the design of the autonomous instrument and environmental chamber, analysis of detector noise, and signal-to-noise ratio prediction. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-09-16 without embargo terms The student, Dawn Haken, accepted the attached license on 2021-04-26 at 14:59. The student, Dawn Haken, submitted this Thesis for approval on 2021-04-26 at 15:15. This Thesis was approved for publication on 2021-04-27 at 11:31. DSpace SAF Submission Ingestion Package generated from Vireo submission #16556 on 2021-09-16 at 16:48:02 Made available in DSpace on 2021-09-17T01:13:28Z (GMT). No. of bitstreams: 2 HAKEN-THESIS-2021.pdf: 4773950 bytes, checksum: 4e9cc3a5b8d8deb7428467fedca9f1b4 (MD5) LICENSE.txt: 4207 bytes, checksum: 81ce8789dfa4108e8a70e72a6f3f92da (MD5) Previous issue date: 2021-04-27 application/pdf http://hdl.handle.net/2142/110576 en Copyright 2021 Dawn Haken atmospheric remote sensing photometry oxygen Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.