{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T11:04:25Z","timestamp":1781089465929,"version":"3.54.1"},"reference-count":23,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T00:00:00Z","timestamp":1652832000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"NASA Radiometric Calibration","doi-asserted-by":"publisher","award":["SA22000091"],"award-info":[{"award-number":["SA22000091"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"NASA Radiometric Calibration","doi-asserted-by":"publisher","award":["SA2000371"],"award-info":[{"award-number":["SA2000371"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000203","name":"Landsat Project Science Office by USGS EROS Landsat 8-9","doi-asserted-by":"publisher","award":["SA22000091"],"award-info":[{"award-number":["SA22000091"]}],"id":[{"id":"10.13039\/100000203","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000203","name":"Landsat Project Science Office by USGS EROS Landsat 8-9","doi-asserted-by":"publisher","award":["SA2000371"],"award-info":[{"award-number":["SA2000371"]}],"id":[{"id":"10.13039\/100000203","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>With the launch of Landsat 9 in September 2021, an optimal opportunity for in-flight cross-calibration occurred when Landsat 9 flew underneath Landsat 8 while being moved into its final orbit. Since the two instruments host nearly identical imaging systems, the underfly event offered ideal cross-calibration conditions. The purpose of this work was to use the underfly imagery collected by the instruments to estimate cross-calibration parameters for Landsat 9 for a calibration update scheduled at the end of the on-orbit initial verification (OIV) period. Three types of uncertainty were considered: geometric, spectral, and angular (bidirectional reflectance distribution function\u2014BRDF). Differences caused by geometric uncertainty were found to be negligible for this application. Spectral uncertainty was found to be minimal except for the green band when viewing vegetative targets. BRDF models derived from the MODIS BRDF product indicated substantial error could occur and required development of a mitigating methodology. With these three contributions of uncertainty properly addressed, it was estimated that the total cross-calibration uncertainty for underfly data could be kept under 1%. The data collected during the underfly were filtered to remove outliers based on uncertainty analysis. These data were used to calculate the TOA reflectance and radiance cross-calibration values for each spectral band by taking the ratio of Landsat 8 average pixel values to Landsat 9. Initial results of this approach indicated the cross-calibration may be as accurate as 0.5% in reflectance space and 1.0% in radiance space. The initial results developed in this study were used to refine the cross-calibration of Landsat 9 to Landsat 8 at the end of the OIV period.<\/jats:p>","DOI":"10.3390\/rs14102418","type":"journal-article","created":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T23:14:26Z","timestamp":1652915666000},"page":"2418","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["Initial Cross-Calibration of Landsat 8 and Landsat 9 Using the Simultaneous Underfly Event"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-5427-7691","authenticated-orcid":false,"given":"Garrison","family":"Gross","sequence":"first","affiliation":[{"name":"Engineering-Office of Research, South Dakota State University (SDSU), Brookings, SD 57007, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dennis","family":"Helder","sequence":"additional","affiliation":[{"name":"Engineering-Office of Research, South Dakota State University (SDSU), Brookings, SD 57007, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher","family":"Begeman","sequence":"additional","affiliation":[{"name":"Engineering-Office of Research, South Dakota State University (SDSU), Brookings, SD 57007, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0836-4768","authenticated-orcid":false,"given":"Larry","family":"Leigh","sequence":"additional","affiliation":[{"name":"Engineering-Office of Research, South Dakota State University (SDSU), Brookings, SD 57007, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Morakot","family":"Kaewmanee","sequence":"additional","affiliation":[{"name":"Engineering-Office of Research, South Dakota State University (SDSU), Brookings, SD 57007, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramita","family":"Shah","sequence":"additional","affiliation":[{"name":"Engineering-Office of Research, South Dakota State University (SDSU), Brookings, SD 57007, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"111968","DOI":"10.1016\/j.rse.2020.111968","article-title":"Landsat 9: Empowering open science and applications through continuity","volume":"248","author":"Masek","year":"2020","journal-title":"Remote Sens. 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