Remote Sensing and Spatial Modelling

Foreword

Didier Fontenille

General introduction

Thibault Catry, Éric Daudé, Nadine Dessay, Annelise Tran

Remote sensing concepts

Introduction to GIS

Part 1 - Spatial data for vector mosquito surveillance and associated diseases

Chapter 1. Relationships between vector mosquitoes and the environment: the role of satellite remote sensing methods

Renaud Marti, Claire Teillet, Hobiniaina Anthonio Rakotoarison, Florence Fournet

Relationships between vector mosquitoes and the environment

Description of the environment using satellite remote sensing methods

Références

Chapter 2. Spectral indices and classifications of multispectral images for vector risk mapping

Annelise Tran, Renaud Marti, Vincent Herbreteau

Mapping land cover using remotely sensed data in order to model the distribution of Anopheles mosquitoes in Camargue

Spectral indices derived from remote sensing images employed as environmental factors in the analysis of human cases of West Nile fever in Europe

Automated production of spectral indices: example of the Sen2Extract tool

References

Chapter 3. Estimation of air temperatures from satellite images and weather stations

Barbara Boufhal, Alexandre Cebeillac, Éric Daudé

Data to measure temperatures

Air temperature estimation: different methods

Applications to Bangkok

Conclusion

References

Chapter 4. From census to buildings: generating synthetic populations

Alexandre Cebeillac, Olivier Gillet, Éric Daudé

Population disaggregation and redistribution

Synthetic populations, a methodology which supports the fine-scale analysis of health-related issues

Conclusion

References

Chapter 5. Satellite image texture and characterisation of urban environments favourable to vector mosquitoes

Claire Teillet, Ophélie Hoarau, Nausicaa Habchi-Hanriot, Benjamin Pillot, Thibault Catry, Annelise Tran

Different methods to characterise image texture

Study of the relationships between urban variables and the distribution of dengue cases in Brasília using a texture-based approach

Map of potential larval habitat distribution of the Asian tiger mosquito on Reunion island

Conclusion

References

Part 2 - Analysing and predicting the effect of environmental variables on the distribution and dynamics of vector mosquitoes

Chapter 6. Data-driven models: mapping the spatial distribution of vectors

Yi Moua, Emmanuel Roux

Species distribution models

Maxent model

Sampling bias and minimising its impact on modelling

Application to the primary malaria vector in French Guiana

Conclusion

References

Chapter 7. Knowledge-based models: example of a multi-criteria evaluation tool for public health

Fanjasoa Rakotomanana, Hobiniaina Anthonio Rakotoarison

GIS-based multi-criteria analysis, a knowledge-based approach

Example of this method used to map the risk of malaria in the Malagasy Central Highlands

Conclusion

References

Chapter 8. Arbocarto: a mechanistic model based on the life cycle of Aedes mosquitoes

Renaud Marti, Marie Demarchi, Mathieu Castets, Annelise Tran

A generic model built around the mosquito life cycle

Adaptation of the model to the species Aedes albopictus and Aedes aegypti and spatialization

Implementation, initialisation and simulation of Aedes mosquito abundance

Arbocarto: a specialised interface for vector control measures

References

Chapter 9. Spatial simulation of the risk of dengue transmission using vector and host behavioural models

Éric Daudé, Sébastien Rey-Coyrehourcq, Alexandre Cebeillac

Individual-based and spatially explicit models

Application to dengue in Bangkok: MO3, methods and data

MO3 model simulations

Conclusion

References

General conclusion and perspectives

Thierry Baldet, Hélène Guis

References

Acknowledgements

Glossary

List of acronyms

Authors