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

Fiche du document

Date

3 avril 2018

Type de document
Périmètre
Langue
Identifiants
Collection

Archives ouvertes

Licence

info:eu-repo/semantics/OpenAccess




Citer ce document

Élodie Faure et al., « Development of a software based on automatic multi-temporal aerial images classification to assess retrospective environmental exposures to pesticides in epidemiological studies », HAL-SHS : géographie, ID : 10670/1.9t9mep


Métriques


Partage / Export

Résumé En

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.

document thumbnail

Par les mêmes auteurs

Sur les mêmes sujets

Sur les mêmes disciplines

Exporter en