AI4EBVs

Using AI to validate and downscale ecosystem-related Essential Biodiversity Variables (EBVs) in mountain environments

  • Deutsch
  • English
  • Italiano
AI4EBVs
  • Project duration: September 2020 - September 2023
  • Project status:
    Approval by the Scientific Committee
  • Website: https://ai4ebv.eurac.edu/


AI4EBVs is a three-year project funded by the 1st GEO BON – Microsoft joint call: EBVs on the cloud. EURAC Research is leading the project consortium, whose team members have been working since the mid-2000s to contribute to and to establish GEO MOUNTAINS, focusing on mountain regions worldwide: EURAC Research, the US Geological Survey (USGS), the Mountain Research Initiative (MRI), and the Institute of Atmospheric Sciences and Climate of the National Research Council of Italy (ISAC-CNR). 

 AI4EBVs has been designed to support the Group on Earth Observations Global Network for Observing Mountain Environments (GEO MOUNTAINS) in mapping the Essential Biodiversity Variables (EBVs) ecosystem extent and ecosystem fragmentation. We use artificial intelligence (AI) to validate and downscale a broad-scale global mountain ecosystem map by exploiting the advanced feature extraction capabilities provided by AI-based algorithms and the computational potential of cloud based-platforms to derive accurate, high-resolution maps of mountain ecosystem extents. We produce these maps through time to enable a comprehensive assessment of ecosystem change and fragmentation.

 The following outputs are envisaged:

- High-resolution maps of mountain ecosystem extents through time, thereby enabling assessments of ecosystem change and fragmentation

- A set of transferable cloud-based, AI-derived analyses for producing accurate and high-resolution maps which can be applied elsewhere.

EURAC is responsible for the conceptual work and the technical implementation of the approaches. The project supports biodiversity research and the further development of AI and Earth Observation data in cloud platforms.

Contact person: Ruth Sonnenschein ruth.sonnenschein@eurac.edu

Publications
Using Artificial Intelligence to Downscale Ecosystem-Related Essential Biodiversity Variables in Mountain Environments
Frisinghelli D, Claus M, Jacob A, Sayre R, Adler C, Thornton J, Zebisch M, Sonnenschein R (2021)
Presentation/Speech

Conference: ESA Phi-week 2021 | Frascati, Rome | 11.10.2021 - 15.10.2021

More information: https://phiweek.esa.int/

Partner
U.S. Geological Survey
Institute of Atmospheric Science and Climate (National Research Council of Italy)
Mountain Research Initiative

Project funded by

Project Team
1 - 5

Projects

1 - 6
Project

NEXOGENESIS

Facilitating the next generation of effective and intelligent water-related policies utilising ...

Duration: August 2021 - December 2021Funding:
Societal Challenge (Horizon 2020 /EU funding /Project)

view all

Institute's Projects

Institute
Eurac Research logo

Eurac Research is a private research center based in Bolzano (South Tyrol) with researchers from a wide variety of scientific fields who come from all over the globe. Together, through scientific knowledge and research, they share the goal of shaping the future.

What we do

Our research addresses the greatest challenges facing us in the future: people need health, energy, well-functioning political and social systems and an intact environment. These are complex questions, and we are seeking the answers in the interaction between many different disciplines. In so doing, our research work embraces three major themes: regions fit for living in, diversity as a life-enhancing feature, a healthy society.

Great Place To Work
ISO 9001 / 2015ISO 9001:2015
05771/0
ISO 27001ISO 27001:2013
00026/0
ORCID Member

In order to give you a better service this site uses cookies. Additionally third party cookies are used. By continuing to browse the site you are agreeing to our use of cookies.

Privacy Policy