Health
Identifying and mapping environmental factors favourable to the emergence, spread and persistence of diseases.
Using satellite imagery to establish a link between the environment, the habitats that are favourable to these species, and the human and animal populations at risk
Annelise TRAN, CIRAD researcher and THEIA Risks associated with Infectious Diseases SEC, shares her vision of Theia consortium, its achievements as well as the challenges ahead.
“What motivates my interest in THEIA, but also in the very idea of data consortia, are the ever-changing activities and the associated challenges.”
Arnaud Sellé, CNES-Partner Interoperability Manager for DINAMIS, Theia & ForM@Ter, gives us his vision of Theia contributions and challenges.
Theia programme at Living Planet Symposium
Go to Bonn with Theia’s Living Planet programme in your pocket!
[Just Released] Theia Bulletin N°16
Fototex
FOTOTEX, developed within Theia Risks Associated with Infectious Disease Risks and Urban SECs, proposes a unique, rapid and unsupervised method for characterising urban areas at three overlapping scales.
FOTOTEX: An Unsupervised Method for Urban Areas
FOTOTEX, developed within Theia Risks Associated with Infectious Disease Risks and Urban SECs, proposes a unique, rapid and unsupervised method for characterising urban areas at three overlapping scales.
Map of rat fleas distribution, Reunion Island
Mapping of the distribution of Xenopsylla flea vectors of murine typhus, Reunion Island.
ARBOCARTO | Predictive mapping tool for Aedes vector population densities
Software able simulate the population dynamics of Aedes albopictus and Aedes aegypti.
ALBORUN | Model of Aedes albopictus mosquito population dynamics, Reunion Island
Software enabling to simulate the population dynamics for tiger mosquito, Aedes albopictus, Reunion Island
ALBOMAURICE: a predictive model for mapping Aedes albopictus mosquito populations in Mauritius
Software to simulate the population dynamics of the tiger mosquito, Aedes albopictus, in Mauritius.
Zimbabwe National Parks Water Surfaces
Geographic layers of monthly water surface changes for Hwangue, Gonarezhou and North Kruger National Parks in Zimbabwe, for modelling animal movements and predicting potential pathogen transmission.
Zimbabwe National Parks Land Cover
Spatialized landcover raster layers, derived from a time series of Sentinel-2 satellite images (from the year 2018), for Hwange, Gonarezhou and North Kruger National Parks in Zimbabwe.