Slide One
Earth observation from Ground up
Slide One
Slide Two
USING SENTINEL DATA
for better understanding changes in landscapes
Slide Two
Slide Three
from AVHRR and Sentinel-3 data

to a Citizen Science App

Slide Three
previous arrow
next arrow

Please enter the email address associated with your User account. Your username will be emailed to the email address on file.

Home Teaser PersonNearCity

Data and Study Area

ECVs retrieved from EO data (e.g. snow cover, vegetation indices) are crucial for investigating our climate system. AVHHR offers 40+ years of data (1981-today) and will be complemented by Sentinel-3 (2016-today). ECV time series from the SemantiX project cover the entire Alps and are a valuable contribution to climate-related research.

Semantic EO Data Cube

Data cubes are a midstream EO technology that facilitates and simplify access to Spatio-temporal EO data storage via spatial and temporal coordinates. Semantic EO data cubes provide interfaces via thematic descriptions. A container-based infrastructure allows scalable and flexible deployment.

EO Data in a Citizen Science App

The integration of the data into the established “Naturkalender ZAMG” Citizen Science project allows interactive data visualisation and public outreach. The project’s app runs on the SPOTTERON platform and are used by an active community, including students or school classes and as the next-generation scientists. Website: www.naturkalender.at

ImageSeperator 1390px 02 GirlWithCamera

Short News

  • We just have launched the SemantiX project website! In the future, you will find more information about the project here, and also a Blog by our project team members.

    Wednesday, 02 June 2021