Apports de la combinaison d’images satellites optique et RADAR dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière Guyane française – Brésil

The distribution of mosquito vectors of malaria is controlled by various factors such as climate, land cover and land use, or human activities. In the Amazon region, endemic foci of malaria persist, particularly on the border between French Guiana and Amapa State in Brazil. This area, long by 300 km...

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Autores principales:	Thibault Catry, Auréa Pottier, Renaud Marti, Zhichao Li, Emmanuel Roux, Vincent Herbreteau, Morgan Mangeas, Laurent Demagistri, Helen Gurgel, Nadine Dessay
Formato:	article
Lenguaje:	EN FR PT
Publicado:	Confins 2018
Materias:	Malaria environmental determinants land cover remote sensing optical-SAR combination. Geography. Anthropology. Recreation G
Acceso en línea:	https://doaj.org/article/f381bd6d3b744b7c9db1a529e4e7e601
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id	oai:doaj.org-article:f381bd6d3b744b7c9db1a529e4e7e601
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spelling	oai:doaj.org-article:f381bd6d3b744b7c9db1a529e4e7e6012021-12-02T10:56:09ZApports de la combinaison d’images satellites optique et RADAR dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière Guyane française – Brésil1958-921210.4000/confins.15027https://doaj.org/article/f381bd6d3b744b7c9db1a529e4e7e6012018-10-01T00:00:00Zhttp://journals.openedition.org/confins/15027https://doaj.org/toc/1958-9212The distribution of mosquito vectors of malaria is controlled by various factors such as climate, land cover and land use, or human activities. In the Amazon region, endemic foci of malaria persist, particularly on the border between French Guiana and Amapa State in Brazil. This area, long by 300 km, presents many difficulties in collecting informations necessary for the health management of the local populations. In this type of geographical context, with few, isolated and cross-border data, a methodology based on the exploitation of remote sensing images is particularly appropriate. Remote sensing data have wide spatial coverage, and a large range of spatial resolutions. Here we present an approach combining high resolution and very high spatial resolution optical and SAR satellite data. Our method makes it possible to map the different types of land cover in the tropical border context French Guiana - Brazil, characterized by a persistent cloud cover. The results show that the complementarity of optical and RADAR sensors allows the production of multi-scale mapping of land use/land cover (LULC) independently from cloud cover. In particular, we produced LULC classifications to generate spatialized indicators and characterize the relationship between suitable habitats for malaria vectors and environmental factors. Through a discussion on the application of composite LULC classifications for the assessment of malaria exposure risk at various scales, this case study illustrates the interest of satellite remote sensing approaches to characterize landscape elements and land cover, which can account for the distribution of vector populations in connection with arboviruses transmission.Thibault CatryAuréa PottierRenaud MartiZhichao LiEmmanuel RouxVincent HerbreteauMorgan MangeasLaurent DemagistriHelen GurgelNadine DessayConfinsarticleMalariaenvironmental determinantsland coverremote sensingoptical-SAR combination.Geography. Anthropology. RecreationGENFRPTConfins, Vol 37 (2018)
institution	DOAJ
collection	DOAJ
language	EN FR PT
topic	Malaria environmental determinants land cover remote sensing optical-SAR combination. Geography. Anthropology. Recreation G
spellingShingle	Malaria environmental determinants land cover remote sensing optical-SAR combination. Geography. Anthropology. Recreation G Thibault Catry Auréa Pottier Renaud Marti Zhichao Li Emmanuel Roux Vincent Herbreteau Morgan Mangeas Laurent Demagistri Helen Gurgel Nadine Dessay Apports de la combinaison d’images satellites optique et RADAR dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière Guyane française – Brésil
description	The distribution of mosquito vectors of malaria is controlled by various factors such as climate, land cover and land use, or human activities. In the Amazon region, endemic foci of malaria persist, particularly on the border between French Guiana and Amapa State in Brazil. This area, long by 300 km, presents many difficulties in collecting informations necessary for the health management of the local populations. In this type of geographical context, with few, isolated and cross-border data, a methodology based on the exploitation of remote sensing images is particularly appropriate. Remote sensing data have wide spatial coverage, and a large range of spatial resolutions. Here we present an approach combining high resolution and very high spatial resolution optical and SAR satellite data. Our method makes it possible to map the different types of land cover in the tropical border context French Guiana - Brazil, characterized by a persistent cloud cover. The results show that the complementarity of optical and RADAR sensors allows the production of multi-scale mapping of land use/land cover (LULC) independently from cloud cover. In particular, we produced LULC classifications to generate spatialized indicators and characterize the relationship between suitable habitats for malaria vectors and environmental factors. Through a discussion on the application of composite LULC classifications for the assessment of malaria exposure risk at various scales, this case study illustrates the interest of satellite remote sensing approaches to characterize landscape elements and land cover, which can account for the distribution of vector populations in connection with arboviruses transmission.
format	article
author	Thibault Catry Auréa Pottier Renaud Marti Zhichao Li Emmanuel Roux Vincent Herbreteau Morgan Mangeas Laurent Demagistri Helen Gurgel Nadine Dessay
author_facet	Thibault Catry Auréa Pottier Renaud Marti Zhichao Li Emmanuel Roux Vincent Herbreteau Morgan Mangeas Laurent Demagistri Helen Gurgel Nadine Dessay
author_sort	Thibault Catry
title	Apports de la combinaison d’images satellites optique et RADAR dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière Guyane française – Brésil
title_short	Apports de la combinaison d’images satellites optique et RADAR dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière Guyane française – Brésil
title_full	Apports de la combinaison d’images satellites optique et RADAR dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière Guyane française – Brésil
title_fullStr	Apports de la combinaison d’images satellites optique et RADAR dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière Guyane française – Brésil
title_full_unstemmed	Apports de la combinaison d’images satellites optique et RADAR dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière Guyane française – Brésil
title_sort	apports de la combinaison d’images satellites optique et radar dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière guyane française – brésil
publisher	Confins
publishDate	2018
url	https://doaj.org/article/f381bd6d3b744b7c9db1a529e4e7e601
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Apports de la combinaison d’images satellites optique et RADAR dans l’étude des maladies à transmission vectorielle : cas du paludisme à la frontière Guyane française – Brésil

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