Predicting tiger mosquito breeding sites through earth observation and statistical analysis

Catry Thibault, Tran Annelise, Hoarau Ophélie, Pillot Benjamin, Habchi-Hanriot Nausicaa, Teillet Claire. 2022. Predicting tiger mosquito breeding sites through earth observation and statistical analysis. . University of California. Irvine : University of California, 1 p. GEOMED 2022, Irvine, États-Unis, 12 Octobre 2022/14 Octobre 2022.

https://sites.uci.edu/geomed2022/

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Matériel d'accompagnement : 1 résumé

Résumé : Reunion Island is a densely populated French region of the Indian Ocean. There, the Asian Tiger mosquito, Aedes albopictus, is the main vector of arboviroses such as dengue and chikungunya. Recently, vector control services have been collecting in situ data on potential breeding sites covering about 10% of the districts of the island. This study investigates the capability of environmental features extracted from earth observation data to be used in predicting the distribution of potential breeding sites of Ae. albopictus in Reunion Island. Spectral indices (NDVI, NDWI and Brightness index) were calculated from a very-high spatial resolution Pléaides mosaic of 2020 images over the island, while data on the annual cumulative rainfall and the annual average temperature were obtained from the Météo-France / CIRAD network. Textural information over urban areas was also extracted from the Pléaides mosaic. Corresponding textural indices highlight different district typologies based on spatial arrangements between buildings and vegetation. For each district, we analyzed the correlations between i) the number of potential observed breeding sites and ii) the mean values of textural and spectral indices, as well as the mean precipitation and annual temperature, through both univariate and multivariate analysis; the most significant variables were eventually combined using a generalized linear model. We found that the correlation between those combined variables and in situ data on breeding sites of Ae. albopictus is significant. This statistical relationship makes it possible to use earth observation environmental variables as predictors of the number of potential breeding sites for all areas in the island.

Mots-clés libres : Aedes albopictus, Modelling, Pleiades, Remote Sensing, Reunion Island

Agences de financement hors UE : Centre National d'Etudes Spatiales

Projets sur financement : (FRA) ANalyse Inter-Site : Evaluation de la Télédétection comme ouTil prédictif pour la surveillance et le contrôle de maladies causées par des moustiquEs

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