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

El Alem, Anas, Chokmani, Karem, Laurion, Isabelle et El Adlouni, Salah-Eddine (2014). An ensemble based system for chlorophyll-a estimation using MODIS imagery over Southern Quebec inland waters. In: IEEE International Geoscience and Remote Sensing Symposium - IGARSS 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:	Document issu d'une conférence ou d'un atelier
Mots-clés libres:	MODIS; HAB; Chl-a; ensemble based systems; Gaussian quadrature
Centre:	Centre Eau Terre Environnement
Date de dépôt:	09 déc. 2019 21:16
Dernière modification:	09 déc. 2019 21:16
URI:	https://espace.inrs.ca/id/eprint/4812

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