Next Article in Journal
Wide-Area Landslide Deformation Mapping with Multi-Path ALOS PALSAR Data Stacks: A Case Study of Three Gorges Area, China
Next Article in Special Issue
An Overview of the Joint Polar Satellite System (JPSS) Science Data Product Calibration and Validation
Previous Article in Journal
“Use of 3D Point Clouds in Geohazards” Special Issue: Current Challenges and Future Trends
Previous Article in Special Issue
Assessment of S-NPP VIIRS On-Orbit Radiometric Calibration and Performance
Open AccessReview

Comparison of the Calibration Algorithms and SI Traceability of MODIS, VIIRS, GOES, and GOES-R ABI Sensors

1
NOAA Affiliate, ERT, Inc., Laurel, MD 20707, USA
2
Department of Astronomy, University of Maryland, College Park, MD 20742, USA
3
NOAA/NESDIS/STAR, College Park, MD 20737, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2016, 8(2), 126; https://doi.org/10.3390/rs8020126
Received: 20 November 2015 / Accepted: 27 January 2016 / Published: 6 February 2016
(This article belongs to the Collection Visible Infrared Imaging Radiometers and Applications)
The radiometric calibration equations for the thermal emissive bands (TEB) and the reflective solar bands (RSB) measurements of the earth scenes by the polar satellite sensors, (Terra and Aqua) MODIS and Suomi NPP (VIIRS), and geostationary sensors, GOES Imager and the GOES-R Advanced Baseline Imager (ABI) are analyzed towards calibration algorithm harmonization on the basis of SI traceability which is one of the goals of the NOAA National Calibration Center (NCC). One of the overarching goals of NCC is to provide knowledge base on the NOAA operational satellite sensors and recommend best practices for achieving SI traceability for the radiance measurements on-orbit. As such, the calibration methodologies of these satellite optical sensors are reviewed in light of the recommended practice for radiometric calibration at the National Institute of Standards and Technology (NIST). The equivalence of some of the spectral bands in these sensors for their end products is presented. The operational and calibration features of the sensors for on-orbit observation of radiance are also compared in tabular form. This review is also to serve as a quick cross reference to researchers and analysts on how the observed signals from these sensors in space are converted to radiances. View Full-Text
Keywords: remote sensing; calibration algorithm; calibration equations; SI traceability; LEO and GEO optical sensors remote sensing; calibration algorithm; calibration equations; SI traceability; LEO and GEO optical sensors
Show Figures

Graphical abstract

MDPI and ACS Style

Datla, R.; Shao, X.; Cao, C.; Wu, X. Comparison of the Calibration Algorithms and SI Traceability of MODIS, VIIRS, GOES, and GOES-R ABI Sensors. Remote Sens. 2016, 8, 126. https://doi.org/10.3390/rs8020126

AMA Style

Datla R, Shao X, Cao C, Wu X. Comparison of the Calibration Algorithms and SI Traceability of MODIS, VIIRS, GOES, and GOES-R ABI Sensors. Remote Sensing. 2016; 8(2):126. https://doi.org/10.3390/rs8020126

Chicago/Turabian Style

Datla, Raju; Shao, Xi; Cao, Changyong; Wu, Xiangqian. 2016. "Comparison of the Calibration Algorithms and SI Traceability of MODIS, VIIRS, GOES, and GOES-R ABI Sensors" Remote Sens. 8, no. 2: 126. https://doi.org/10.3390/rs8020126

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop