Development of a software based on automatic multi-temporal aerial images classification to assess retrospective environmental exposures to pesticides in epidemiological studies

Abstract : Environmental exposure to agricultural pesticides (EEAP) resulting from the drift of agricultural pesticides applied on fields and is suspected to be a risk factor for several diseases. Geographic Information Systems (GIS) are increasingly used in environmental epidemiological studies to assess EEAP. Crop acreage proximate to subjects residences has been suggested as a surrogate for EEAP. Retrospective characterization of EEAP is essential due to long latency. Earlier data are lacking and limitting the capacity to capture the life-course effects of exposure. We aimed to develop an innovative software to analyze the historical monochromatic aerial images to reconstruct land use to characterize EEAP retrospectively.
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01784654
Contributeur : Rémi Ratajczak <>
Soumis le : jeudi 3 mai 2018 - 16:33:42
Dernière modification le : mercredi 19 septembre 2018 - 10:01:00
Document(s) archivé(s) le : lundi 24 septembre 2018 - 14:02:53

Identifiants

  • HAL Id : hal-01784654, version 1

Citation

Élodie Faure, Rémi Ratajczak, Carlos Crispim-Junior, Olivia Pérol, Laure Tougne, et al.. Development of a software based on automatic multi-temporal aerial images classification to assess retrospective environmental exposures to pesticides in epidemiological studies. CLARA 2018 Cancer Research Forum, Apr 2018, Lyon, France. 2018. 〈hal-01784654〉

Partager

Métriques

Consultations de la notice

286

Téléchargements de fichiers

97