{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T03:00:54Z","timestamp":1760151654734,"version":"build-2065373602"},"reference-count":57,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T00:00:00Z","timestamp":1649376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42071314"],"award-info":[{"award-number":["42071314"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Landsat time-series dataset is one of the most widely used datasets for land surface research due to its long time-series and Land Surface Reflectance (LSR) product. Though the United States Geological Survey (USGS) provides Landsat LSR products for later Landsat 4\u20135 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8 Operational Land Imager (OLI), no early Landsat 1\u20135 Multispectral Scanner System (MSS) LSR product is generated currently, limiting the research traced back to the 1970s. Atmospheric correction is one of the necessary preprocesses for generating LSR products. However, it is challenging for MSS images, not only because the image quality is lower and bands are different compared with the current sensors, but also because of the multiple effects of other preprocesses, such as radiometric calibration. Based on the Second Simulation of a Satellite Signal in the Solar Spectrum Vector (6SV) model, we propose a novel framework for generating Landsat 1\u20135 MSS LSR data of China. Ground-based visibility records are introduced to replace the images-based aerosol optical depth (AOD) to effectively generate MSS LSR data of the 1970s. We evaluate the generated MSS LSR data by the cross-validation of the simultaneous observation of MSS and TM sensors in Landsat 4 and Landsat 5 using Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) surface reflectance product as the truth value. The evaluation result shows that the generated MSS LSR data is comparable with the later Landsat TM LSR product, with slightly larger uncertainties. In addition, it shows that the non-atmospheric factors (e.g., the difference of relative spectral responses of TM and MSS, the georegistration errors, the radiometric calibration uncertainty, and image noises) bring larger uncertainties than the atmospheric factors (e.g., the AOD retrieval method by visibility) to the cross-validation results. We apply the MSS LSR data generated by the proposed framework on time series analysis in the regions of interest (ROIs) of the spectral-stable land cover in China for all the MSS sensors. The application demonstrates the potential and promise of the MSS LSR data generated by the proposed framework.<\/jats:p>","DOI":"10.3390\/rs14081802","type":"journal-article","created":{"date-parts":[[2022,4,9]],"date-time":"2022-04-09T05:13:08Z","timestamp":1649481188000},"page":"1802","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Framework of Generating Land Surface Reflectance of China Early Landsat MSS Images by Visibility Data and Its Evaluation"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2238-3711","authenticated-orcid":false,"given":"Cong","family":"Zhao","sequence":"first","affiliation":[{"name":"Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4903-4485","authenticated-orcid":false,"given":"Zihua","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China"}]},{"given":"Qiming","family":"Qin","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China"},{"name":"Beijing Key Laboratory of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7715-3529","authenticated-orcid":false,"given":"Xin","family":"Ye","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China"},{"name":"Beijing Key Laboratory of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.rse.2019.02.015","article-title":"Current Status of Landsat Program, Science, and Applications","volume":"225","author":"Wulder","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.rse.2011.12.025","article-title":"Continental-Scale Validation of MODIS-based and LEDAPS Landsat ETM+ Atmospheric Correction Methods","volume":"122","author":"Ju","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.rse.2015.08.030","article-title":"Evaluation of the Landsat-5 TM and Landsat-7 ETM+ Surface Reflectance Products","volume":"169","author":"Claverie","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.rse.2016.04.008","article-title":"Preliminary Analysis of the Performance of the Landsat 8\/OLI Land Surface Reflectance Product","volume":"185","author":"Vermote","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2380","DOI":"10.1109\/TGRS.2011.2171351","article-title":"Radiometric Calibration of the Landsat MSS Sensor Series","volume":"50","author":"Helder","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"7378","DOI":"10.1109\/TGRS.2019.2913106","article-title":"Landsats 1\u20135 Multispectral Scanner System Sensors Radiometric Calibration Update","volume":"57","author":"Haque","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.rse.2013.02.026","article-title":"Assessment of the NASA\u2013USGS Global Land Survey (GLS) Datasets","volume":"134","author":"Gutman","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"112181","DOI":"10.1016\/j.rse.2020.112181","article-title":"Improving Landsat Multispectral Scanner (MSS) Geolocation by Least-Squares-Adjustment Based Time-Series Co-Registration","volume":"252","author":"Yan","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/j.rse.2018.02.046","article-title":"Extracting the Full Value of the Landsat Archive: Inter-sensor Harmonization for the Mapping of Minnesota Forest Canopy Cover (1973\u20132015)","volume":"209","author":"Vogeler","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"8967","DOI":"10.1109\/TGRS.2020.2992609","article-title":"Characterization of MSS Channel Reflectance and Derived Spectral Indices for Building Consistent Landsat 1\u20135 Data Record","volume":"58","author":"Chen","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/0034-4257(91)90062-B","article-title":"Radiometric Rectification: Toward a Common Radiometric Response among Multidate, Multisensor Images","volume":"35","author":"Hall","year":"1991","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1016\/0098-3004(96)00010-6","article-title":"Atmospheric Correction of Satellite Data with Haze Removal Including a Haze\/Clear Transition Region","volume":"22","author":"Richter","year":"1996","journal-title":"Comput. Geosci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1080\/01431169608949077","article-title":"A Spatially Adaptive Fast Atmospheric Correction Algorithm","volume":"17","author":"Richter","year":"1996","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/0034-4257(88)90019-3","article-title":"An Improved Dark-Object Subtraction Technique for Atmospheric Scattering Correction of Multispectral Data","volume":"24","author":"Chavez","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_15","first-page":"1025","article-title":"Image-Based Atmospheric Corrections-Revisited and Improved","volume":"62","author":"Chavez","year":"1996","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1109\/36.964986","article-title":"Atmospheric Correction of Landsat ETM+ Land Surface Imagery\u2014Part I: Methods","volume":"39","author":"Liang","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/S0034-4257(02)00092-5","article-title":"Validating MODIS Land Surface Reflectance and Albedo Products: Methods and Preliminary Results","volume":"83","author":"Liang","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_18","unstructured":"Liang, S. (2005). Quantitative Remote Sensing of Land Surfaces, John Wiley & Sons."},{"key":"ref_19","unstructured":"Berk, A., Bernstein, L.S., and Robertson, D.C. (1987). MODTRAN: A Moderate Resolution Model for LOWTRAN, Spectral Sciences Inc.. Technical Report."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1109\/36.581987","article-title":"Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: An Overview","volume":"35","author":"Vermote","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(98)00031-5","article-title":"AERONET\u2014A Federated Instrument Network and Data Archive for Aerosol Characterization","volume":"66","author":"Holben","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1357","DOI":"10.1080\/01431168808954942","article-title":"Algorithm for Automatic Atmospheric Corrections to Visible and Near-IR Satellite Imagery","volume":"9","author":"Kaufman","year":"1988","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1080\/07038992.1995.10855161","article-title":"On the Dark Target Approach to Atmospheric Correction of Remotely Sensed Data","volume":"21","author":"Teillet","year":"1995","journal-title":"Can. J. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1109\/36.628795","article-title":"The MODIS 2.1-\/Spl Mu\/m Channel-Correlation with Visible Reflectance for Use in Remote Sensing of Aerosol","volume":"35","author":"Kaufman","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"17173","DOI":"10.1029\/97JD00336","article-title":"An Operational Atmospheric Correction Algorithm for Landsat Thematic Mapper Imagery over the Land","volume":"102","author":"Liang","year":"1997","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_26","first-page":"3353","article-title":"Theorie Der Horizontalen Sichtweite, Beitrage Zur Physik Der Freien Atmosphare","volume":"12","author":"Koschmieder","year":"1924","journal-title":"Meteorol. Z."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1804","DOI":"10.1364\/AO.9.001804","article-title":"Relationships between Vertical Attenuation and Surface Meteorological Range","volume":"9","author":"Elterman","year":"1970","journal-title":"Appl. Opt."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Friedlander, S.K. (1977). Smoke, Dust and Haze: Fundamentals of Aerosol Behavior, Wiley-Interscience.","DOI":"10.1063\/1.3037714"},{"key":"ref_29","first-page":"368","article-title":"A Parameterization Model of Aerosol Optical Depths in China","volume":"3","author":"Qiu","year":"2001","journal-title":"Acta Meteorol. Sin."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"13370","DOI":"10.1002\/2014JD021550","article-title":"Improvement of Aerosol Optical Depth Retrieval Using Visibility Data in China during the Past 50 Years","volume":"119","author":"Wu","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.atmosenv.2013.08.050","article-title":"Remote Sensing of Surface Visibility from Space: A Look at the United States East Coast","volume":"81","author":"Kessner","year":"2013","journal-title":"Atmos. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2016.03.016","article-title":"A Parameterization Scheme of Aerosol Vertical Distribution for Surface-Level Visibility Retrieval from Satellite Remote Sensing","volume":"181","author":"He","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.atmosenv.2017.09.004","article-title":"Aerosol Optical Depth Retrieval from Visibility in China during 1973\u20132014","volume":"171","author":"Zhang","year":"2017","journal-title":"Atmos. Environ."},{"key":"ref_34","unstructured":"USGS (2022, April 03). Landsat Collection 1 Level 1 Product Definition V2, Available online: https:\/\/prd-wret.s3-us-west-2.amazonaws.com\/assets\/palladium\/production\/atoms\/files\/LSDS-1656_%20Landsat_Collection1_L1_Product_Definition-v2.pdf."},{"key":"ref_35","unstructured":"USGS (2022, April 03). Landsat 4\u20137 Collection 1 (C1) Surface Reflectance (LEDAPS) Product Guide, Available online: https:\/\/prd-wret.s3.us-west-2.amazonaws.com\/assets\/palladium\/production\/atoms\/files\/LSDS-1370_L4-7_C1-SurfaceReflectance-LEDAPS_ProductGuide-v3.pdf."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2013.04.007","article-title":"Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data","volume":"136","author":"Maiersperger","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1175\/2011BAMS3015.1","article-title":"The Integrated Surface Database: Recent Developments and Partnerships","volume":"92","author":"Smith","year":"2011","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1175\/1520-0477(1996)077<0437:TNYRP>2.0.CO;2","article-title":"The NCEP\/NCAR 40-Year Reanalysis Project","volume":"77","author":"Kalnay","year":"1996","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_39","unstructured":"Xu, X., Liu, J., Zhang, S., Li, R., Yan, C., and Wu, S. (2018). China\u2019s Multi-Period Land Use Land Cover Remote Sensing Monitoring Data Set (CNLUCC), Resource and Environment Data Cloud Platform."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Wang, H., Zhao, X., Zhang, X., Wu, D., and Du, X. (2019). Long time series land cover classification in China from 1982 to 2015 based on Bi-LSTM deep learning. Remote Sens., 11.","DOI":"10.3390\/rs11141639"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Shen, Z., and Xu, X. (2020). Influence of the Economic Efficiency of Built-Up Land (EEBL) on Urban Heat Islands (UHIs) in the Yangtze River Delta Urban Agglomeration (YRDUA). Remote Sens., 12.","DOI":"10.3390\/rs12233944"},{"key":"ref_42","first-page":"1","article-title":"Second Simulation of a Satellite Signal in the Solar Spectrum-Vector (6SV)","volume":"3","author":"Vermote","year":"2006","journal-title":"6S User Guide Version"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1364\/AO.3.001139","article-title":"Rayleigh and Extinction Coefficients to 50 Km for the Region 0.27 \u03bc to 0.55 \u03bc","volume":"3","author":"Elterman","year":"1964","journal-title":"Appl. Opt."},{"key":"ref_44","unstructured":"Deirmendjian, D. (1969). Electromagnetic Scattering on Spherical Polydispersions, Rand Corp. Technical Report."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"McClatchey, R.A. (1971). Optical Properties of the Atmosphere (Revised), Number 354, Air Force Cambridge Research Laboratories, Office of Aerospace Research.","DOI":"10.21236\/AD0726116"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"111196","DOI":"10.1016\/j.rse.2019.05.015","article-title":"The ECOSTRESS Spectral Library Version 1.0","volume":"230","author":"Meerdink","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"S56","DOI":"10.1016\/j.rse.2008.01.026","article-title":"PROSPECT+SAIL Models: A Review of Use for Vegetation Characterization","volume":"113","author":"Jacquemoud","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Chen, J., and Zhu, W. (2021). Comparing Landsat-8 and Sentinel-2 Top of Atmosphere and Surface Reflectance in High Latitude Regions: Case Study in Alaska. Geocarto Int., 1\u201320.","DOI":"10.1080\/10106049.2021.1924295"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/j.rse.2018.04.031","article-title":"Characterization of Sentinel-2A and Landsat-8 Top of Atmosphere, Surface, and Nadir BRDF Adjusted Reflectance and NDVI Differences","volume":"215","author":"Zhang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Aguilar, M.\u00c1., Jim\u00e9nez-Lao, R., Nemmaoui, A., Aguilar, F.J., Koc-San, D., Tarantino, E., and Chourak, M. (2020). Evaluation of the Consistency of Simultaneously Acquired Sentinel-2 and Landsat 8 Imagery on Plastic Covered Greenhouses. Remote Sens., 12.","DOI":"10.3390\/rs12122015"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1080\/01431161.2010.533298","article-title":"Limitations of the Dense Dark Vegetation Method for Aerosol Retrieval under Australian Conditions","volume":"3","author":"Gillingham","year":"2012","journal-title":"Remote Sens. Lett."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1080\/01431161.2012.738945","article-title":"On Determining Appropriate Aerosol Optical Depth Values for Atmospheric Correction of Satellite Imagery for Biophysical Parameter Retrieval: Requirements and Limitations under Australian Conditions","volume":"34","author":"Gillingham","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1080\/01431160600821028","article-title":"A Surface Reflectance Model for Aerosol Remote Sensing over Land","volume":"28","author":"Santer","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.quaint.2004.11.014","article-title":"Palaeoclimatic Changes in the Qinghai Lake Area during the Last 18,000 Years","volume":"136","author":"Ji","year":"2005","journal-title":"Quat. Int."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Schmidt, G.L., Jenkerson, C., Masek, J.G., Vermote, E., and Gao, F. (2013). Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) Algorithm Description.","DOI":"10.3133\/ofr20131057"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.rse.2015.08.006","article-title":"Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems","volume":"169","author":"Braaten","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"102986","DOI":"10.1016\/j.earscirev.2019.102986","article-title":"Review of Aerosol Optical Depth Retrieval Using Visibility Data","volume":"200","author":"Zhang","year":"2020","journal-title":"Earth-Sci. Rev."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/8\/1802\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:50:25Z","timestamp":1760136625000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/8\/1802"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,8]]},"references-count":57,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2022,4]]}},"alternative-id":["rs14081802"],"URL":"https:\/\/doi.org\/10.3390\/rs14081802","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2022,4,8]]}}}