{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T07:09:24Z","timestamp":1766732964540,"version":"build-2065373602"},"reference-count":52,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2017,4,27]],"date-time":"2017-04-27T00:00:00Z","timestamp":1493251200000},"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 Earth Observing One (EO-1) satellite has completed 16 years of Earth observations in early 2017. What started as a technology mission to test various new advancements turned into a science and application mission that extended many years beyond the satellite\u2019s planned life expectancy. EO-1\u2019s primary instruments are spectral imagers: Hyperion, the only civilian full spectrum spectrometer (430\u20132400 nm) in orbit, and the Advanced Land Imager (ALI), the prototype for Landsat-8\u2019s pushbroom imaging technology. Both Hyperion and ALI instruments have continued to perform well, but in February 2011, the satellite ran out of the fuel necessary to maintain orbit, which initiated a change in precession rate that led to increasingly earlier equatorial crossing times during its last five years. The change from EO-1\u2019s original orbit, when it was formation flying with Landsat-7 at a 10:01 a.m. equatorial overpass time, to earlier overpass times results in image acquisitions with increasing solar zenith angles (SZAs). This study takes several approaches to characterize data quality as SZAs increased. The results show that for both EO-1 sensors, atmospherically corrected reflectance products, are within 5 to 10% of mean pre-drift products. No marked trend in decreasing quality in ALI or Hyperion is apparent through 2016, and these data remain a high quality resource through the end of the mission.<\/jats:p>","DOI":"10.3390\/rs9050412","type":"journal-article","created":{"date-parts":[[2017,4,27]],"date-time":"2017-04-27T13:01:15Z","timestamp":1493298075000},"page":"412","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["EO-1 Data Quality and Sensor Stability with Changing Orbital Precession at the End of a 16 Year Mission"],"prefix":"10.3390","volume":"9","author":[{"given":"Shannon","family":"Franks","sequence":"first","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"},{"name":"Stinger Ghaffarian Technologies (SGT), Greenbelt, MD 20770, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5322-6340","authenticated-orcid":false,"given":"Christopher","family":"Neigh","sequence":"additional","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Petya","family":"Campbell","sequence":"additional","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"},{"name":"Joint Center for Earth Technology, University of Maryland, Baltimore County, Baltimore, MD 21250, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoqing","family":"Sun","sequence":"additional","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"},{"name":"Department of Geography, University of Maryland, College Park, MD 20740, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Yao","sequence":"additional","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"},{"name":"Universities Space Research Association, Baltimore County, Columbia, MD 21044, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"},{"name":"Universities Space Research Association, Baltimore County, Columbia, MD 21044, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karl","family":"Huemmrich","sequence":"additional","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"},{"name":"Joint Center for Earth Technology, University of Maryland, Baltimore County, Baltimore, MD 21250, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elizabeth","family":"Middleton","sequence":"additional","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3423-4580","authenticated-orcid":false,"given":"Stephen","family":"Ungar","sequence":"additional","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"},{"name":"Universities Space Research Association, Baltimore County, Columbia, MD 21044, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4607-0189","authenticated-orcid":false,"given":"Stuart","family":"Frye","sequence":"additional","affiliation":[{"name":"NASA\u2019s Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA"},{"name":"Stinger Ghaffarian Technologies (SGT), Greenbelt, MD 20770, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,4,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1311","DOI":"10.1109\/TGRS.2003.813132","article-title":"Precision and Accuracy of EO-1 Advanced Land Imager (ALI) Data for Semiarid Vegetation Studies","volume":"41","author":"Elmore","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1109\/TGRS.2003.813206","article-title":"Preprocessing EO-1 Hyperion Hyperspectral Data to Support the Application of Agricultural Indexes","volume":"41","author":"Datt","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1109\/TGRS.2003.815999","article-title":"Overview of the Earth Observing One (EO-1) Mission","volume":"41","author":"Ungar","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1204","DOI":"10.1109\/TGRS.2003.813213","article-title":"Data Continuity of Earth Observing 1 (EO-1) Advanced Land Imager (ALI) and Landsat Tm and ETM","volume":"41","author":"Bryant","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1080\/01431160512331299324","article-title":"EO-1 Hyperion, ALI and Landsat 7 ETM+ Data Comparison for Estimating Forest Crown Closure and Leaf Area Index","volume":"26","author":"Pu","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2014.02.001","article-title":"Landsat-8: Science and Product Vision for Terrestrial Global Change Research","volume":"145","author":"Roy","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.rse.2011.08.026","article-title":"The Next Landsat Satellite: The Landsat Data Continuity Mission","volume":"122","author":"Irons","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_8","unstructured":"Ungar, S. Personal communication."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1109\/JSTARS.2013.2249496","article-title":"The Earth Observing One (EO-1) Satellite Mission: Over a Decade in Space","volume":"6","author":"Middleton","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"5660","DOI":"10.3390\/rs70505660","article-title":"Mapping Species Composition of Forests and Tree Plantations in Northeastern Costa Rica with an Integration of Hyperspectral and Multitemporal Landsat Imagery","volume":"7","author":"Fagan","year":"2015","journal-title":"Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1576","DOI":"10.1016\/j.rse.2010.02.012","article-title":"Characterizing Temperate Forest Structural and Spectral Diversity with Hyperion EO-1 Data","volume":"114","author":"White","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_12","first-page":"11","article-title":"Ecological Site Classification of Semiarid Rangelands: Synergistic Use of Landsat and Hyperion Imagery","volume":"29","author":"Blanco","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1016\/j.isprsjprs.2011.01.004","article-title":"Evaluation of a Three-Band Model for Estimating Chlorophyll-a Concentration in Tidal Reaches of the Pearl River Estuary, China","volume":"66","author":"Chen","year":"2011","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.1109\/TGRS.2003.812907","article-title":"Satellite Hyperspectral Remote Sensing for Estimating Estuarine and Coastal Water Quality","volume":"41","author":"Brando","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1016\/j.rse.2010.12.006","article-title":"Hyperspectral Spaceborne Imaging of Dust-Laden Flows: Anatomy of Saharan Dust Storm from the Bodele Depression","volume":"115","author":"Chudnovsky","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1109\/JSTARS.2013.2247974","article-title":"Monitoring Flooding in Thailand Using Earth Observing One in a Sensorweb","volume":"6","author":"Chien","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1936","DOI":"10.1002\/jgrb.50141","article-title":"Observing Iceland\u2019s Eyjafjallajokull 2010 Eruptions with the Autonomous Nasa Volcano Sensor Web","volume":"118","author":"Davies","year":"2013","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1109\/JSTARS.2013.2255861","article-title":"Use of the Earth Observing One (EO-1) Satellite for the Namibia Sensorweb Flood Early Warning Pilot","volume":"6","author":"Mandl","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.rse.2005.08.007","article-title":"Monitoring Active Volcanism with the Autonomous Sciencecraft Experiment on EO-1","volume":"101","author":"Davies","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jvolgeores.2003.12.015","article-title":"Strategies, Insights, and the Recent Advances in Volcanic Monitoring and Mapping with Data from Nasxs Earth Observing System","volume":"135","author":"Ramsey","year":"2004","journal-title":"J. Volcanol. Geotherm. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2421","DOI":"10.1080\/01431161.2014.883100","article-title":"Assessment of the Impact of the Orbital Drift of SPOT-VGT1 by Comparison with SPOT-VGT2 Data","volume":"35","author":"Swinnen","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3701","DOI":"10.1080\/01431160701294646","article-title":"Dependence of Frequency of Convective Cloud Occurrence on the Orbital Drift of Satellites","volume":"28","author":"Devasthale","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1333","DOI":"10.1175\/1520-0426(2002)019<1333:SOTDCO>2.0.CO;2","article-title":"Sampling of the Diurnal Cycle of Precipitation Using Trmm","volume":"19","author":"Negri","year":"2002","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_24","unstructured":"(2016, August 24). United States Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, Available online: https:\/\/earthexplorer.usgs.gov\/."},{"key":"ref_25","unstructured":"Rouse, J.W., Haas, R.H., Schell, J.A., and Deering, D.W. (1974). Monitoring Vegetation Systems in the Great Plains with Erts."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and Photographic Infrared Linear Combinations for Monitoring Vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1080\/01431160310001598908","article-title":"Sun and View Angle Effects on NDVI Determination of Land Cover Types in the Brazilian Amazon Region with Hyperspectral Data","volume":"25","author":"Galvao","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","first-page":"345","article-title":"Completion of the 2011 National Land Cover Database for the Conterminous United States\u2014Representing a Decade of Land Cover Change Information","volume":"81","author":"Homer","year":"2015","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Gao, B.C., and Davis, C.O. (1997, January 27). Development of a Line-by-Line-Based Atmosphere Removal Algorithm for Airborne and Spaceborne Imaging Spectrometers. Proceedings of the SPIE 3118, Imaging Spectrometry III, San Diego, CA, USA.","DOI":"10.1117\/12.283822"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/0034-4257(93)90014-O","article-title":"Derivation of Scaled Surface Reflectances from AVIRIS Data","volume":"44","author":"Gao","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"ref_31","unstructured":"National Aeronautics and Space Administration (NASA) (2016, December 30). Level-1 and Atmosphere Archive & Distribution System (LAADS), Available online: https:\/\/ladsweb.nascom.nasa.gov\/."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2014.07.012","article-title":"Estimation of Crop Gross Primary Production (GPP): fAPAR(Chl) Versus MOD15A2 FPAR","volume":"153","author":"Zhang","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.rse.2012.09.002","article-title":"Multi-Angle Implementation of Atmospheric Correction for MODIS (MAIAC): 3. Atmospheric Correction","volume":"127","author":"Lyapustin","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_34","unstructured":"Felde, G.W., Anderson, G.P., Cooley, T.W., Mathew, M.W., Adler-Golden, S.M., Berk, A., and Lee, J. (2003, January 21\u201325). Analysis of Hyperion Data with the FLAASH Atmospheric Correction Algorithm. Proceedings of the Geoscience and Remote Sensing Symposium, Toulouse, France."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/S0034-4257(98)00032-7","article-title":"Derivative Analysis of Hyperspectral Data","volume":"66","author":"Tsai","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_36","first-page":"4047","article-title":"Decision-Level Fusion of Spectral Reflectance and Derivative Information for Robust Hyperspectral Land Cover Classification","volume":"48","author":"Kalluri","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Ye, Z., He, M.Y., Fowler, J.E., and Du, Q. (2014, January 9\u201313). Hyperspectral Image Classification Based on Spectra Derivative Features and Locality Preserving Analysis. Proceedings of the 2014 IEEE China Summit & International Conference on Signal and Information Processing, Xi\u2019an, China.","DOI":"10.1109\/ChinaSIP.2014.6889218"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1080\/01621459.1979.10481038","article-title":"Robust Locally Weighted Regression and Smoothing Scatterplots","volume":"74","author":"Cleveland","year":"1979","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_39","unstructured":"(2017, April 21). Harris Geospatial Solutions, ENVI Region of Interest (ROI) Tool. Available online: https:\/\/www.harrisgeospatial.com\/docs\/RegionOfInterestTool.html."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Teillet, P.M., Barsi, J.A., Chander, G., Thome, K.J., and Xiong, J. (2007). Prime Candidate Earth Targets for the Post-Launch Radiometric Calibration of Space-Based Optical Imaging Instruments. Proc. SPIE, 6677.","DOI":"10.1117\/12.733156"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1117\/12.256090","article-title":"Evaluation of the Railroad Valley Playa for Use in Vicarious Calibration","volume":"2818","author":"Scott","year":"1996","journal-title":"Proc. SPIE"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"159","DOI":"10.5589\/m08-025","article-title":"Spectral Band Difference Effects on Vegetation Indices Derived from Multiple Satellite Sensor Data","volume":"34","author":"Teillet","year":"2008","journal-title":"Can. J. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"6753","DOI":"10.1364\/AO.47.006753","article-title":"Design, Calibration, and Characterization of a Field Radiometer Using Light-Emitting Diodes as Detectors","volume":"47","author":"Thome","year":"2008","journal-title":"Appl. Opt."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1109\/JSTARS.2015.2463101","article-title":"Validation of EO-1 Hyperion and Advanced Land Imager Using the Radiometric Calibration Test Site at Railroad Valley, Nevada","volume":"9","author":"Ong","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1109\/JSTARS.2013.2246139","article-title":"EO-1 Hyperion Reflectance Time Series at Calibration and Validation Sites: Stability and Sensitivity to Seasonal Dynamics","volume":"6","author":"Campbell","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_46","unstructured":"Analytical Imaging and Geophysics (AIG) (2001). ACORN User\u2019s Guide, Analytical Imaging and Geophysics LLC. Stand Alone Version."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1109\/TGRS.2003.812908","article-title":"Comparison of Airborne Hyperspectral Data and EO-1 Hyperion for Mineral Mapping","volume":"41","author":"Kruse","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"3549","DOI":"10.1029\/JD095iD04p03549","article-title":"Column Atmospheric Water Vapor and Vegetation Liquid Water Retrievals from Airborne Imaging Spectrometer Data","volume":"95","author":"Gao","year":"1990","journal-title":"J. Geophys. Res."},{"key":"ref_49","unstructured":"Kruse, F.A. (April, January 31). Comparison of ATREM, ACORN, and FLAASH Atmospheric Corrections Using Low-Altitude AVIRIS Data of Boulder, Colorado. Proceedings of the 13th JPL Airborne Geoscience Workshop, Pasadena, CA, USA."},{"key":"ref_50","unstructured":"Taylor, J.R. (1939). An Introduction to Error Analysis the Study of Uncertainties in Physical Measurements, University Science Books."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1797","DOI":"10.1109\/LGRS.2016.2612539","article-title":"Monitoring Orbital Precession of EO-1 Hyperion with Three Atmospheric Correction Models in the Libya-4 Pics","volume":"12","author":"Neigh","year":"2016","journal-title":"IEEE Geosci. Remote Sen. Lett."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"6571","DOI":"10.1002\/2016GL069079","article-title":"Space-Based Remote Imaging Spectroscopy of the Aliso Canyon CH4 Superemitter","volume":"43","author":"Thompson","year":"2016","journal-title":"Geophys. Res. Lett."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/5\/412\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:33:56Z","timestamp":1760207636000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/5\/412"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,27]]},"references-count":52,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2017,5]]}},"alternative-id":["rs9050412"],"URL":"https:\/\/doi.org\/10.3390\/rs9050412","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2017,4,27]]}}}