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Statistical data fusion of multi-sensor AOD over the Continental United States / Sweta Jinnagara Puttaswamy in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)  

Public [article]  inGeocarto international > vol 29 n° 1 - 2 (February - April 2014) . - pp 48 - 64 Titre : Statistical data fusion of multi-sensor AOD over the Continental United States Type de document : Article/Communication Auteurs : Sweta Jinnagara Puttaswamy, Auteur ; Hai M. Nguyen, Auteur ; Amy Braverman, Auteur ; Xuefei Hu, Auteur ; Yang Liu, Auteur Année de publication : 2014 Article en page(s) : pp 48 - 64 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] aérosol [Termes IGN] données de terrain [Termes IGN] Etats-Unis [Termes IGN] fusion de données [Termes IGN] image GOES [Termes IGN] image Terra-MODIS [Termes IGN] interpolation linéaire [Termes IGN] krigeage [Termes IGN] profondeur Résumé : (Auteur) This article illustrates two techniques for merging daily aerosol optical depth (AOD) measurements from satellite and ground-based data sources to achieve optimal data quality and spatial coverage. The first technique is a traditional Universal Kriging (UK) approach employed to predict AOD from multi-sensor aerosol products that are aggregated on a reference grid with AERONET as ground truth. The second technique is spatial statistical data fusion (SSDF); a method designed for massive satellite data interpolation. Traditional kriging has computational complexity O(N3), making it impractical for large datasets. Our version of UK accommodates massive data inputs by performing kriging locally, while SSDF accommodates massive data inputs by modelling their covariance structure with a low-rank linear model. In this study, we use aerosol data products from two satellite instruments: the moderate resolution imaging spectrometer and the geostationary operational environmental satellite, covering the Continental United States. Numéro de notice : A2014-234 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.827750 Date de publication en ligne : 10/09/2013 En ligne : https://doi.org/10.1080/10106049.2013.827750 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33137 [article]

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