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Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud‐based analysis

Daniel Andrade Maciel, Nima Pahlevan, Cláudio Clemente Faria Barbosa, Evlyn Márcia Leão de Moraes Novo, Rejane S. Paulino, Vitor S. Martins, Éric Vermote, Christopher J. Crawford

2023Limnology and Oceanography Letters41 citationsDOIOpen Access PDF

Abstract

Abstract Originally developed for terrestrial science and applications, the US Geological Survey Landsat surface reflectance (SR) archive spanning ~ 40 yr of observations has been increasingly utilized in large‐scale water‐quality studies. These products, however, have not been rigorously validated using in situ measured reflectance. This letter quantifies and demonstrates the quality of the SR products by harnessing a sizeable global dataset ( N = 1100). We found that the Landsat 8/9 SR in the green and red bands marginally meet the targeted accuracy requirements (30%), whereas the uncertainties in the blue and coastal‐aerosol bands ranged from 48% to 110%. We further observed > +25% biases in the visible bands of Landsat 5/7 SR, which can introduce an apparent downward trend when applied in time‐series analyses combined with Landsat 8/9. Users must exercise caution when using this archive for trend analyses, and progress in atmospheric correction is required to foster advanced applications of the Landsat archive for aquatic science.

Topics & Concepts

ReflectivityRemote sensingCloud computingEnvironmental scienceScale (ratio)Atmospheric correctionAerosolPhysical geographyMeteorologyGeologyGeographyComputer scienceCartographyOperating systemOpticsPhysicsMarine and coastal ecosystemsSpecies Distribution and Climate ChangeAtmospheric and Environmental Gas Dynamics
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