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An ensemble based system for Chlorophyll-a estimation using MODIS imagery over Southern Quebec inland waters.

El Alem, Anas; Chokmani, Karem; Laurion, Isabelle; El Adlouni, Salaheddine (2014). An ensemble based system for Chlorophyll-a estimation using MODIS imagery over Southern Quebec inland waters. In: 35th Canadian Symposium on Remote SensingI - GARSS 2014, 13-18 juillet 2014, Québec, Canada.

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Résumé

The purpose of this study was to enhance the performance of the Adaptive-model (AM) for Chlorophyll-a (Chl-a) concentration estimation using MODIS-imagery. The AM is based on the combination of spectral response classification and three semi-empirical estimators. Most critical step in Chl-a estimation when using the AM is the estimator selection. A wrong selection could lead to an over- or underestimation and induces a staircase effect in Chl-a modelization. Ensemble based systems (EBS) development can be in interesting solution. One of the most used techniques to develop an EBS is bagging-algorithm. However, its main weakness is time consumption. The Gaussian-quadrature (GQ) formula has the potential to handle this kind of problems. The objective of this study is to develop a mixed ensemble based system for Chl-a estimation in Quebec inland waters using GQ formula. Statistical indexes evaluation was satisfied, relative-RMSE=15% and R2=0.98 whereas matrix-confusion results were 0.92 and 0.8 for global-success and Kappa-index, respectively.

Type de document: (NON SPÉCIFIÉ)
Mots-clés libres: Chl-a; ensemble based systems; Gaussian quadrature; HAB; MODIS
Centre: Centre Eau Terre Environnement
Date de dépôt: 22 mars 2017 21:00
Dernière modification: 05 juill. 2017 19:47
URI: http://espace.inrs.ca/id/eprint/3577

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