Inter-comparison of atmospheric correction methods on Sentinel-2 images applied to croplands
Fecha
2018Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Impacto
|
10.1109/IGARSS.2018.8518890
Resumen
Atmospheric correction of high resolution satellite scenery is a necessary preprocessing step for applications where bottom of atmosphere (BOA) reflectances are needed. The selection of the best atmospheric correction method to use on images acquired from new platforms, such as Sentinel-2, is essential to provide accurate BOA reflectances. In this work the performance of three atmospheric correct ...
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Atmospheric correction of high resolution satellite scenery is a necessary preprocessing step for applications where bottom of atmosphere (BOA) reflectances are needed. The selection of the best atmospheric correction method to use on images acquired from new platforms, such as Sentinel-2, is essential to provide accurate BOA reflectances. In this work the performance of three atmospheric correction methods (6S, MAJA and SEN2COR) applied to Sentinel-2 scenes are compared by evaluating the resultant spectral
signatures of six crop types on two specific dates, and their NDVI time series along a complete year. Although SEN2COR introduced greater corrections, especially in the infrared bands, the results suggest a varying performance of the methods depending on the land cover and the atmospheric conditions. Further research, particularly incorporating ground truth data, is recommended to rigorously validate the different atmospheric methods. [--]
Materias
Atmospheric correction,
Sentinel-2,
NDVI,
Crop,
Time series
Editor
IEEE
Publicado en
2020 IEEE International Geoscience & Remote Sensing Symposium (IGARSS): proceedings. July 22–27, 2018, Valencia, Spain
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Saila
Versión del editor
Entidades Financiadoras
This work is funded by the PyrenEOS EFA 048/15 project, which has been 65% cofinanced by the European Regional Development through the Interreg V-A SpainFrance-Andorra programme (POCTEFA 2014-2020).