Publications

GEOV2-AVHRR: the 2021 version is available

The GEOV2-AVHRR product has been updated for the year 2021. This means that 40 years of global vegetation data are now available. 

02.03.2023

Digital Soil Mapping: educational resources and property maps

Theia Digital Mapping SEC offers new educational resources and Soil Properties Maps.

19.08.2022

Theia innovates for the processing and dissemination of hydrological data

Flavien GOUILLON & Lionel ZAWADZKI from CNES gave an update on the evolution of the Theia data and services infrastructure to meet the needs of hydrological data processing and dissemination.

12.08.2022

TropiSCO: Monitoring Forest Cover Loss in Dense Forests

The Tropisco projects build on methods developed in THEIA Forest Biomass and Cover Change SEC.

02.08.2022

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.

20.06.2022

“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.

24.05.2022

[Just Released] Theia Bulletin N°16

>>>News from the network: Nomination of Anne Puissant as Theia new Scientific Director; Theia workshop on irrigated areas; Trishna Days ; GAIA Data and Terra Forma Kick-Offs, Critical Zone Award, […]

11.05.2022

Monitoring Lake and River’s Water Level: Sentinel-6A’s turn

Hydroweb product continuity is already ensured with the integration of Sentinel-6A data in place of Jason-3.

08.04.2022

Fototex results

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.

06.04.2022

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