FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2808097118> ?p ?o ?g. }

• W2808097118 endingPage "2021" @default.
• W2808097118 startingPage "1997" @default.
• W2808097118 abstract "Surface reflectance can be derived from satellite measurements for the top of atmosphere and provides an important dataset for monitoring land change reliably. In this study, the Sentinel-2A surface reflectance was generated using the Sentinel-2 atmospheric correction (Sen2Cor) processor. To evaluate this dataset, surface data at 40 sites of the aerosol robotic network over North America from January 2016 to August 2017 were collected and processed. The surface reflectance reference was derived from the second simulation of the satellite signal in the solar spectrum-vector (6SV) code. The aerosol optical thickness (AOT), water vapor, surface reflectance, and three spectral indices generated by Sen2Cor were evaluated using the metrics including the accuracy, precision, and uncertainty ( <i xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>A</i> , <i xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>P</i> , and <i xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>U</i> ). The results show that due to the limitations of Sen2Cor aerosol retrieval algorithm, the Sentinel-2A AOT was significantly overestimated, with the relative accuracy over 160%. The Sen2Cor surface reflectance is generally overestimated, especially for the bright pixels, except for the cirrus band. For the 12 Sentinel-2A bands, the mean values of relative <i xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>A</i> , <i xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>P</i> , and <i xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>U</i> are 4.15%, 13.44%, and 14.92%, respectively. Among the three spectral indices, the normalized difference vegetation index performs best, with a correlation coefficient of 0.973 against the surface data. Furthermore, the Sen2Cor surface reflectance was compared with other satellite products. The mean correlation coefficient between Sentinel-2A and Landsat 8 surface reflectance is found to be 0.761. This study suggests that a better AOT retrieval is critical for improvement of Sen2Cor in the future." @default.
• W2808097118 created "2018-06-21" @default.
• W2808097118 creator A5048379858 @default.
• W2808097118 creator A5057904261 @default.
• W2808097118 creator A5059186978 @default.
• W2808097118 creator A5062138355 @default.
• W2808097118 creator A5066565099 @default.
• W2808097118 date "2018-06-01" @default.
• W2808097118 modified "2023-10-17" @default.
• W2808097118 title "Evaluation of Sentinel-2A Surface Reflectance Derived Using Sen2Cor in North America" @default.
• W2808097118 cites W1976585767 @default.
• W2808097118 cites W1977518971 @default.
• W2808097118 cites W1983804081 @default.
• W2808097118 cites W1993814425 @default.
• W2808097118 cites W2018482968 @default.
• W2808097118 cites W2019605235 @default.
• W2808097118 cites W2021458827 @default.
• W2808097118 cites W2026317156 @default.
• W2808097118 cites W2032481287 @default.
• W2808097118 cites W2039824329 @default.
• W2808097118 cites W2045276693 @default.
• W2808097118 cites W2047885432 @default.
• W2808097118 cites W2050250373 @default.
• W2808097118 cites W2050516592 @default.
• W2808097118 cites W2056435747 @default.
• W2808097118 cites W2058312673 @default.
• W2808097118 cites W2066946237 @default.
• W2808097118 cites W2069674806 @default.
• W2808097118 cites W2080441468 @default.
• W2808097118 cites W2082626313 @default.
• W2808097118 cites W2084133429 @default.
• W2808097118 cites W2087965082 @default.
• W2808097118 cites W2089433206 @default.
• W2808097118 cites W2097092607 @default.
• W2808097118 cites W2103721688 @default.
• W2808097118 cites W2112335693 @default.
• W2808097118 cites W2116922976 @default.
• W2808097118 cites W2125343954 @default.
• W2808097118 cites W2125763679 @default.
• W2808097118 cites W2127406961 @default.
• W2808097118 cites W2128438912 @default.
• W2808097118 cites W2129090471 @default.
• W2808097118 cites W2133824164 @default.
• W2808097118 cites W2151881447 @default.
• W2808097118 cites W2155745778 @default.
• W2808097118 cites W2161245744 @default.
• W2808097118 cites W2234018419 @default.
• W2808097118 cites W2302154809 @default.
• W2808097118 cites W2344328155 @default.
• W2808097118 cites W2469525320 @default.
• W2808097118 cites W2518218628 @default.
• W2808097118 cites W2531213996 @default.
• W2808097118 cites W2611080000 @default.
• W2808097118 cites W2618092941 @default.
• W2808097118 cites W2736022141 @default.
• W2808097118 cites W2739419885 @default.
• W2808097118 cites W2747196278 @default.
• W2808097118 cites W2758738932 @default.
• W2808097118 cites W2765708932 @default.
• W2808097118 cites W2767886251 @default.
• W2808097118 cites W2792730387 @default.
• W2808097118 doi "https://doi.org/10.1109/jstars.2018.2835823" @default.
• W2808097118 hasPublicationYear "2018" @default.
• W2808097118 type Work @default.
• W2808097118 sameAs 2808097118 @default.
• W2808097118 citedByCount "44" @default.
• W2808097118 countsByYear W28080971182019 @default.
• W2808097118 countsByYear W28080971182020 @default.
• W2808097118 countsByYear W28080971182021 @default.
• W2808097118 countsByYear W28080971182022 @default.
• W2808097118 countsByYear W28080971182023 @default.
• W2808097118 crossrefType "journal-article" @default.
• W2808097118 hasAuthorship W2808097118A5048379858 @default.
• W2808097118 hasAuthorship W2808097118A5057904261 @default.
• W2808097118 hasAuthorship W2808097118A5059186978 @default.
• W2808097118 hasAuthorship W2808097118A5062138355 @default.
• W2808097118 hasAuthorship W2808097118A5066565099 @default.
• W2808097118 hasConcept C108597893 @default.
• W2808097118 hasConcept C120665830 @default.
• W2808097118 hasConcept C121332964 @default.
• W2808097118 hasConcept C127313418 @default.
• W2808097118 hasConcept C1276947 @default.
• W2808097118 hasConcept C153294291 @default.
• W2808097118 hasConcept C154945302 @default.
• W2808097118 hasConcept C19269812 @default.
• W2808097118 hasConcept C2778329001 @default.
• W2808097118 hasConcept C2779345167 @default.
• W2808097118 hasConcept C39432304 @default.
• W2808097118 hasConcept C41008148 @default.
• W2808097118 hasConcept C62649853 @default.
• W2808097118 hasConceptScore W2808097118C108597893 @default.
• W2808097118 hasConceptScore W2808097118C120665830 @default.
• W2808097118 hasConceptScore W2808097118C121332964 @default.
• W2808097118 hasConceptScore W2808097118C127313418 @default.
• W2808097118 hasConceptScore W2808097118C1276947 @default.
• W2808097118 hasConceptScore W2808097118C153294291 @default.
• W2808097118 hasConceptScore W2808097118C154945302 @default.
• W2808097118 hasConceptScore W2808097118C19269812 @default.

• next