We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
From Photons to Pixels: Processing Data from the Advanced Baseline Imager.
- Authors
Kalluri, Satya; Alcala, Christian; Carr, James; Griffith, Paul; Lebair, William; Lindsey, Dan; Race, Randall; Wu, Xiangqian; Zierk, Spencer
- Abstract
The Advanced Baseline Imager (ABI) is the primary Earth observing sensor on the new generation Geostationary Operational Environmental Satellites (GOES-R) series, and provides significant spectral, spatial and temporal observational enhancements compared to the legacy GOES satellites. ABI also provides enhanced capabilities for operational sensor calibration and image navigation and registration (INR) to enable observations of the Earth with high spectral fidelity as well as creating images that are accurately mapped and co-registered over time. Unlike earlier GOES Imagers, ABI has onboard calibration capability for all sixteen bands in the reflective and emissive bands. The calibration process includes periodic and routine views of the internal reflective and blackbody targets as well as views of space and the moon. Improvements in INR are made possible by having a Global Positioning System (GPS) on board the spacecraft and routine measurements of stars through the sensor's boresight for orbit and attitude determination through a Kalman filter. This paper describes how the sensor data are processed into calibrated and geolocated radiances that enable the generation of imagery and higher level products for both meteorological and non-meteorological Earth science applications. Some examples of ABI images and calibration are presented to demonstrate the capabilities and applications of the sensor.
- Subjects
PHOTONS; REMOTE-sensing images of Earth; GEOSTATIONARY satellites; GLOBAL Positioning System; KALMAN filtering; CONTROL theory (Engineering); PREDICTION theory
- Publication
Remote Sensing, 2018, Vol 10, Issue 2, p177
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs10020177