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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.
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https://hal.archives-ouvertes.fr/hal-01784654
Contributor : Rémi Ratajczak Connect in order to contact the contributor
Submitted on : Thursday, May 3, 2018 - 4:33:42 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:09 PM
Long-term archiving on: : Monday, September 24, 2018 - 2:02:53 PM

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  • HAL Id : hal-01784654, version 1

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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. ⟨hal-01784654⟩

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