{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T20:16:55Z","timestamp":1771273015710,"version":"3.50.1"},"reference-count":20,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2016,2,15]],"date-time":"2016-02-15T00:00:00Z","timestamp":1455494400000},"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>Modern satellite radiometers have many detectors with different relative spectral response (RSR). Effect of RSR differences on striping and the root cause of striping in sensor data record (SDR) radiance and brightness temperature products have not been well studied. A previous study used MODTRAN radiative transfer model (RTM) to analyze striping. In this study, we make efforts to find the possible root causes of striping. Line-by-Line RTM (LBLRTM) is used to evaluate the effect of RSR difference on striping and the atmospheric dependency for VIIRS bands M15 and M16. The results show that previous study using MODTRAN is repeatable: the striping is related to the difference between band-averaged and detector-level RSR, and the BT difference has some atmospheric dependency. We also analyzed VIIRS earth view (EV) data with several striping index methods. Since the EV data is complex, we further analyze the onboard calibration data. Analysis of Variance (ANOVA) test shows that the noise along track direction is the major reason for striping. We also found evidence of correlation between solar diffuser (SD) and blackbody (BB) for detector 1 in M15. Digital Count Restoration (DCR) and detector instability are possibly related to the striping in SD and EV data, but further analysis is needed. These findings can potentially lead to further SDR processing improvements.<\/jats:p>","DOI":"10.3390\/rs8020145","type":"journal-article","created":{"date-parts":[[2016,2,16]],"date-time":"2016-02-16T10:39:15Z","timestamp":1455619155000},"page":"145","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Assessing the Effects of Suomi NPP VIIRS M15\/M16 Detector Radiometric Stability and Relative Spectral Response Variation on Striping"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0056-694X","authenticated-orcid":false,"given":"Zhuo","family":"Wang","sequence":"first","affiliation":[{"name":"CICS (Cooperative Institute for Climate and Satellites), University of Maryland, 5825 University Research Court, Suite 4001, Room 3045, M-Square, College Park, MD 20740, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3572-6525","authenticated-orcid":false,"given":"Changyong","family":"Cao","sequence":"additional","affiliation":[{"name":"NOAA (National Oceanic and Atmospheric Administration)\/NESDIS (National Environmental Satellite, Data, and Information Service)\/STAR (Center for Satellite Applications and Research), NCWCP, E\/RA2, 5830 University Research Ct., College Park, MD 20740, USA"}]}],"member":"1968","published-online":{"date-parts":[[2016,2,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"987","DOI":"10.1175\/JAM2252.1","article-title":"Satellite-based imagery techniques for daytime cloud\/snow delineation from MODIS","volume":"44","author":"Miller","year":"2005","journal-title":"J. Appl. Meteor."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1175\/JTECH-D-13-00035.1","article-title":"Adaptive reduction of striping for improved sea surface temperature imagery from Suomi National Polar Orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS)","volume":"31","author":"Bouali","year":"2014","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Padula, F., and Cao, C. (2014). Preliminary study of the Suomi NPP VIIRS detector-level spectral response function effects for the long-wave infrared bands M15 and M16. Proc. SPIE.","DOI":"10.1117\/12.2060905"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"5109","DOI":"10.1364\/AO.54.005109","article-title":"Detector-level spectral characterization of the Suomi NPP VIIRS long-wave infrared bands M15 & M16","volume":"54","author":"Padula","year":"2015","journal-title":"Appl. Opt."},{"key":"ref_5","unstructured":"Godin, R. (2013). VIIRS Sea Surface Temperature Algorithm Theoretical Basis Document (ATBD), Goddard Space Flight Center Greenbelt."},{"key":"ref_6","unstructured":"Liou, K.N. (2002). An Introduction to Atmospheric Radiation, Academic Press. [2nd ed.]."},{"key":"ref_7","unstructured":"Berk, A., Anderson, G.P., Acharya, P.K., and Shettle, E.P. (2011). MODTRAN 5.2.1 User\u2019s Manual, Space Vehicles Directorate."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"15761","DOI":"10.1029\/92JD01419","article-title":"Line-by-line calculation of atmospheric fluxes and cooling rates: Application to water vapor","volume":"97","author":"Clough","year":"1992","journal-title":"J. Geophys. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.jqsrt.2004.05.058","article-title":"Atmospheric radiative transfer modeling: A summary of the AER codes","volume":"91","author":"Clough","year":"2005","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"6687","DOI":"10.5194\/acp-13-6687-2013","article-title":"Performance of the Line-By-Line Radiative Transfer Model (LBLRTM) for temperature, water vapor, and trace gas retrievals: Recent updates evaluated with IASI case studies","volume":"13","author":"Alvarado","year":"2013","journal-title":"Atmos. Chem. Phys."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3917","DOI":"10.1175\/2008JAS2711.1","article-title":"Infrared radiance modeling by optimal spectral sampling","volume":"65","author":"Moncet","year":"2008","journal-title":"J. Atmos. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/j.jqsrt.2009.02.013","article-title":"The HITRAN 2008 molecular spectroscopic database","volume":"110","author":"Rothman","year":"2009","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1109\/TAP.1975.1141119","article-title":"Shape of the 5 mm oxygen band in the atmosphere","volume":"23","author":"Rosenkranz","year":"1975","journal-title":"IEEE Trans. Antennas Propag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2520","DOI":"10.1098\/rsta.2011.0295","article-title":"Development and recent evaluation of the MK_CKD model of continuum absorption","volume":"370","author":"Mlawer","year":"2012","journal-title":"Philos. Trans. R. Soc."},{"key":"ref_15","unstructured":"Martin, S. (2004). An Introduction to Ocean Remote Sensing, Cambridge University Press."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/0034-4257(89)90026-6","article-title":"Destriping GOES images by matching empirical distribution functions","volume":"29","author":"Weinreb","year":"1989","journal-title":"Remote Sens. Environ."},{"key":"ref_17","unstructured":"Li, Z., and Yu, F. A Real Time De-Striping Algorithm for Geostationary Operational Environmental Satellite (GOES) 15 Sounder Images. Available online: http:\/\/digitalcommons.usu.edu\/cgi\/viewcontent.cgi?filename=0&article=1197&context=calcon&type=additional."},{"key":"ref_18","unstructured":"Allan, D.W., Ashby, N., and Hodge, C.C. (1997). The Science of Timekeeping, Hewlett-Packard Company. Hewlett Packard Application Note 1289."},{"key":"ref_19","unstructured":"Cao, C., Xiong, X., Wolfe, R., De Luccia, F., Liu, Q., Blonski, S., Lin, G., Nishihama, M., Pogorzala, D., and Oudrari, H. (2013). Visible Infrared Imaging Radiometer Suite (VIIRS) Sensor Data Record (SDR) User\u2019s Guide, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service. version 1.2."},{"key":"ref_20","unstructured":"Baker, N., Kilcoyne, H., and NOAA Joint Polar Satellite System (JPSS) VIIRS Radiometric Calibration Algorithm Theoretical Basis Document, Available online: http:\/\/npp.gsfc.nasa.gov\/sciencedocs\/2015-06\/474-00027_ATBD-VIIRS-Radiometric-Calibration_C.pdf."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/2\/145\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:19:08Z","timestamp":1760210348000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/2\/145"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,15]]},"references-count":20,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2016,2]]}},"alternative-id":["rs8020145"],"URL":"https:\/\/doi.org\/10.3390\/rs8020145","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,2,15]]}}}