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Auteur L. Guanter |
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Spectral calibration and atmospheric correction of ultra-fine spectral and spatial resolution remote sensing data: Application to CASI-1500 data / L. Guanter in Remote sensing of environment, vol 109 n° 1 (12 July 2007)
[article]
Titre : Spectral calibration and atmospheric correction of ultra-fine spectral and spatial resolution remote sensing data: Application to CASI-1500 data Type de document : Article/Communication Auteurs : L. Guanter, Auteur ; V. Estelles, Auteur ; J. Moreno, Auteur Année de publication : 2007 Article en page(s) : pp 54 - 65 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] aérosol
[Termes IGN] Castille-La Manche
[Termes IGN] correction atmosphérique
[Termes IGN] épaisseur optique
[Termes IGN] étalonnage spectral
[Termes IGN] image CASI
[Termes IGN] réflectance de surfaceRésumé : (Auteur) Imaging spectrometers operating in the solar spectrum measure the upwelling reflected solar radiation, and are an important tool in the bio/geochemical characterization of the Earth system. Surface reflectance is usually the starting point for the retrieval of biophysical parameters from remote measurements. Reliable radiometric and spectral calibrations and accurate atmospheric correction are mandatory in the interpretation of the surface reflectance. A complete surface reflectance retrieval scheme specifically designed for ultra-fine spectral resolution (bandwidth from 10 to 2 nm) and spatial resolution (pixel size less than 10 m) imaging spectrometers is presented in this work. The assessment of the spectral calibration is coupled to the removal of the atmospheric distortion so that maps of surface reflectance are derived, as well as columnar water vapor (CWV) maps, estimations of aerosol optical thickness (AOT) and updated sensor gain coefficients and spectral calibration. Radiative transfer calculations are performed by an optimized version of the MODTRAN4 code, which is run before processing each image. The method is tested against Compact Airborne Spectrographic Imager (CASI) 1500 images acquired during the ESA SENtinel-2 and FLuorescence EXperiment (SEN2FLEX) campaigns held in the Barrax (La Mancha, Spain) study site during June and July 2005. A peak-to-peak spectral shift variation of up to 2.3 nm is detected in CASI. Concerning atmospheric products and surface reflectance retrievals, an extensive validation is performed using ground-based measurements. A good correlation between ground measurements and CASI-derived AOT and CWV is found, with a Pearson correlation coefficient r2 up to 0.71 and 0.74, respectively. The subsequent surface reflectance retrievals also hold a good correspondence with ground-based measurements. Copyright Elsevier Numéro de notice : A2007-301 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.12.005 En ligne : https://doi.org/10.1016/j.rse.2006.12.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28664
in Remote sensing of environment > vol 109 n° 1 (12 July 2007) . - pp 54 - 65[article]A method for the surface reflectance retrieval from PROBA/CHRIS data over land: application to ESA SPARC campaigns / L. Guanter in IEEE Transactions on geoscience and remote sensing, vol 43 n° 12 (December 2005)
[article]
Titre : A method for the surface reflectance retrieval from PROBA/CHRIS data over land: application to ESA SPARC campaigns Type de document : Article/Communication Auteurs : L. Guanter, Auteur ; Luis Alonso, Auteur ; J. Moreno, Auteur Année de publication : 2005 Article en page(s) : pp 2908 - 2917 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] campagne d'observations
[Termes IGN] correction atmosphérique
[Termes IGN] image hyperspectrale
[Termes IGN] image multiangulaire
[Termes IGN] image PROBA-CHRIS
[Termes IGN] PROBA
[Termes IGN] réflectance de surface
[Termes IGN] transfert radiatifRésumé : (Auteur) The Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-Board Autonomy (PROBA) platform system provides the first high spatial resolution hyperspectral/multiangular remote sensing data from a satellite system, what represents a new source of information for Earth Observation purposes. A fully consistent radiative transfer approach is always preferred when dealing with the retrieval of surface reflectance from hyperspectral/multiangular data. However, due to the reported calibration anomalies for CHRIS data, a direct atmospheric correction based on physical radiative transfer modeling is not possible, and the method must somehow compensate for such calibration problems in specific wavelength ranges. A dedicated atmospheric correction algorithm for PROBA/CHRIS data over land is presented in this work. It consists in the combination of radiative transfer and empirical line approaches to atmospheric correction, in order to retrieve surface reflectance images free from both the atmospheric distortion and artifacts due to miscalibration. The atmospheric optical parameters and the updated set of calibration coefficients are obtained jointly in an autonomous process, without the need for any ancillary data. Results from the application of the algorithm to PROBA/CHRIS data from the two European Space Agency SPectra bARrax Campaign (SPARC) held at the Barrax study site (La Mancha, Spain) in 2003 and 2004 are presented in this work, focusing on the validation of the final surface reflectance using in situ measurements acquired simultaneously to PROBA overpasses. Numéro de notice : A2005-512 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.857915 En ligne : https://doi.org/10.1109/TGRS.2005.857915 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27648
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 12 (December 2005) . - pp 2908 - 2917[article]Exemplaires(1)
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