{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:38:00Z","timestamp":1775147880298,"version":"3.50.1"},"reference-count":23,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2018,1,26]],"date-time":"2018-01-26T00:00:00Z","timestamp":1516924800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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\u2019s 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.<\/jats:p>","DOI":"10.3390\/rs10020177","type":"journal-article","created":{"date-parts":[[2018,1,26]],"date-time":"2018-01-26T11:29:02Z","timestamp":1516966142000},"page":"177","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":69,"title":["From Photons to Pixels: Processing Data from the Advanced Baseline Imager"],"prefix":"10.3390","volume":"10","author":[{"given":"Satya","family":"Kalluri","sequence":"first","affiliation":[{"name":"NOAA\/NESDIS\/STAR, NCWCP, College Park, MD 20740, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Alcala","sequence":"additional","affiliation":[{"name":"Atmospheric and Environmental Research, Lexington, MA 02421, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James","family":"Carr","sequence":"additional","affiliation":[{"name":"Carr Astronautics, 6404 Ivy Ln. #333, Greenbelt, MD 20770, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9729-1307","authenticated-orcid":false,"given":"Paul","family":"Griffith","sequence":"additional","affiliation":[{"name":"Harris Corporation, Fort Wayne, IN 46818, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"William","family":"Lebair","sequence":"additional","affiliation":[{"name":"NASA Goddard Space Flight Center, Greenbelt, MD 20770, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Lindsey","sequence":"additional","affiliation":[{"name":"RAMM Branch, NOAA\/NESDIS\/STAR, Fort Collins, CO 80523, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Randall","family":"Race","sequence":"additional","affiliation":[{"name":"GOES-R Program Office, Code 417, Building 6, NASA GSFC, Greenbelt, MD 20770, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7804-5650","authenticated-orcid":false,"given":"Xiangqian","family":"Wu","sequence":"additional","affiliation":[{"name":"SCDA Branch, NOAA\/NESDIS\/STAR, College Park, MD 20740, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4231-0325","authenticated-orcid":false,"given":"Spencer","family":"Zierk","sequence":"additional","affiliation":[{"name":"Harris Corporation, Melbourne, FL 32904, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,1,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"10385","DOI":"10.3390\/rs70810385","article-title":"High Performance Remote Sensing Product Generation System Based on a Service Oriented Architecture for the Next Generation of Geostationary Operational Environmental Satellites","volume":"7","author":"Kalluri","year":"2015","journal-title":"Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1175\/BAMS-86-8-1079","article-title":"Introducing the next generation Advanced Baseline Imager on GOES-R","volume":"86","author":"Schmit","year":"2005","journal-title":"Bull. 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