Surface Reflectance From Commercial Very High Resolution Multispectral Imagery Estimated Empirically With Synthetic Landsat (2023)

Surface Reflectance From Commercial Very High Resolution Multispectral Imagery Estimated Empirically With Synthetic Landsat (2023)

Scientific analysis of Earth's land surface change benefits from well-characterized multispectral remotely sensed data for which models estimate and remove the effects of the atmosphere and sun-sensor geometry. Top-of-atmosphere (TOA) reflectance in commercial very high resolution (

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Bibliographische Detailangaben
Veröffentlicht in:IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.16526-16534
Hauptverfasser: Montesano, Paul M., Macander, Matthew J., Caraballo-Vega, Jordan Alexis, Frost, Melanie J., Neigh, Christopher S. R., Frost, Gerald V., Tamkin, Glenn S., Carroll, Mark L.
Format: Artikel
Sprache:eng
Schlagworte:
Atmospheric modeling
Clouds
Data models
Estimation
Land surface
Landsat
Reflectivity
Remote sensing
surface reflectance (SR)
very high resolution (VHR)
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Beschreibung
Zusammenfassung:Scientific analysis of Earth's land surface change benefits from well-characterized multispectral remotely sensed data for which models estimate and remove the effects of the atmosphere and sun-sensor geometry. Top-of-atmosphere (TOA) reflectance in commercial very high resolution (
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2024.3456587