Tender Match
EU · in EnglishHORIZON-CL6-2027-01-BIODIV-01

Integrating Remote Sensing and in-situ observations of Biodiversity, towards a fully interoperable observation and data framework

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: advancing robust, policy-relevant ecosystem assessment, nature protection and restoration planning activities, and biodiversity trend prediction based on fit for purpose data, thus supporting EU biodiversity and climate objectives; strengthened capacity of researchers, practitioners and decision

The official English text of the call comes from the European Commission's Funding & Tenders portal.

Deadline

22 September 2027 Opens 20 April 2027

Grant per project

5 million EURTotal budget: 10 million EUR · about 2 funded projects

Region

International (EU)

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Eligibility criteria

EU direct call: eligibility depends mainly on the consortium, the participants' countries and their types of organisation. We cannot check these from your company details, so we do not tell you whether you are eligible. The criteria are in the official call.

Official call

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What is this call about?

Ez az uniós pályázat kutatócsoportok, biodiverzitási szakemberek és döntéshozók támogatására irányul, akik a természetvédelmi és ökoszisztéma-helyreállítási célok eléréséhez szükséges adatrendszereket fejlesztik. A támogatás felhasználható olyan integrált megfigyelési rendszerek létrehozására, amelyek összekapcsolják a genetikai adatokat, helyszíni méréseket és műholdas megfigyeléseket, valamint mesterséges intelligencia alkalmazásával támogatják az élővilág-monitorozást és az ökoszisztéma-térképezést. A projektek konkrét bemutatási eseteket valósítanak meg különböző élőhelytípusokra, összhangban az EU biodiverzitási stratégiájával és nemzetközi keretrendszerekkel.

Official description

Expected outcome and scope

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: advancing robust, policy-relevant ecosystem assessment, nature protection and restoration planning activities, and biodiversity trend prediction based on fit for purpose data, thus supporting EU biodiversity and climate objectives; strengthened capacity of researchers, practitioners and decision-makers to improve biodiversity monitoring practices and address knowledge gaps via the integration of data and observations across sensors and platforms, ranging from omics-based data (genomic, transcriptomic, metabolomic), various in-situ to satellite-based Earth observation data; enhanced usability of in-situ datasets as training and validation resources for statistical, machine learning and advanced AI-based approaches, in support of applications such as habitat classification, ecosystem mapping and biodiversity trend prediction.

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