CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 11151 > Article
Presentation + Paper
10 October 2019 Simulating response versus scan angle characterization on OCI for the upcoming PACE mission
Jeff McIntire, Sam Kitchen-McKinley, Dan Todaro, Gerhard Meister
Author Affiliations +
Proceedings Volume 11151, Sensors, Systems, and Next-Generation Satellites XXIII; 111511D (2019) https://doi.org/10.1117/12.2532782
Event: SPIE Remote Sensing, 2019, Strasbourg, France
Abstract
The Plankton, Aerosol, Cloud ocean Ecosystem (PACE) mission Ocean Color Instrument (OCI) is the next generation ocean color sensor following on from the SeaWiFS and VIIRS designs, to be launched into low Earth orbit in 2022. Like those heritage sensors, OCI has cross track scanning fore-optics, the reflectivity of which (referred to here as the response versus scan angle or RVS) must be characterized prior to launch. The expected test setup, component reflectivity measurements, instrument model, and heritage sensor testing were used to generate simulated RVS data. This simulated data set was then used to verify the functionality of the analysis software in preparation for the upcoming ground test campaign. The analysis software is designed to characterize the RVS for all OCI bands over the full range of scan angles to be measured on orbit as well as verify compliance with the sensor design requirements in near real-time.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Jeff McIntire, Sam Kitchen-McKinley, Dan Todaro, and Gerhard Meister "Simulating response versus scan angle characterization on OCI for the upcoming PACE mission", Proc. SPIE 11151, Sensors, Systems, and Next-Generation Satellites XXIII, 111511D (10 October 2019); https://doi.org/10.1117/12.2532782
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 7 PAGES + PRESENTATION
DOWNLOAD PAPER SAVE TO MY LIBRARY
WATCH
PRESENTATION
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data modeling
Sensors
Calibration
Instrument modeling
Radiometry
Remote sensing
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top