Remote Sensing for Health: from Fine-Scale Investigations towards Early-Warning Systems - Archive ouverte HAL Accéder directement au contenu
N°Spécial De Revue/Special Issue Remote Sensing Année : 2020

Remote Sensing for Health: from Fine-Scale Investigations towards Early-Warning Systems

Vincent Herbreteau

Résumé

Understanding and predicting the occurrence of diseases is a major challenge for health services in order to improve control and limit consequences, whether in humans, animals, or environmental health. It is now well documented that, in addition to the intrinsic determinants of individuals or those related to the causal agents of disease, interactions with the environment and society are major factors in the vulnerability of individuals, both in their exposure to disease and in the consequences of poor health conditions. Thus, geographical approaches have increasingly been used to provide a broader perspective on the environmental, economic, or social conditions that determine the health status of populations. The use of remote sensing for health studies has increased almost exponentially since the early 1970s. The main applications are the use of low spatial resolution indices to describe temporal epidemiological series. Nevertheless, many studies have also shown the great potential of higher resolution images (spatial and radiometric) to measure locally the conditions favorable to the development of diseases. Today, remote sensing has a major role to play in the development of environmental monitoring to assist in the early detection of epidemics, which is a major challenge for health management. This Special Issue aims to gather original articles and reviews showing practical applications of remote sensing in different areas of human, animal, or environmental health. In particular, it aims to show innovative uses of satellite images at different scales, whether locally with very high-resolution images, over larger areas at medium or low resolution, or as part of temporal monitoring. Critical approaches to these tools are also encouraged to better guide opportunities for integrating remote sensing into future health projects.
Fichier non déposé

Dates et versions

hal-03938181 , version 1 (13-01-2023)

Licence

Paternité

Identifiants

  • HAL Id : hal-03938181 , version 1

Citer

Vincent Herbreteau. Remote Sensing for Health: from Fine-Scale Investigations towards Early-Warning Systems. Remote Sensing, 2020, Environmental Remote Sensing. ⟨hal-03938181⟩
9 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More