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talk · Tuesday 22 September · 09:23–⁠09:35 · ODIN

From Pixels to Policy: Closing the Gap between In Situ Monitoring, Earth Observation, and Policy Actionability

Claus Weiland · Building resilient data infrastructures for biodiversity science

Recording time 58:14–1:08:43Open on Vimeo ↗

Summaries and key moments are machine-produced. Check the recording for the speaker’s exact words.

The short versionPackaging data with its semantics, provenance and machine-readable policy as FAIR Digital Objects makes it rescue-ready and redeployable elsewhere.

Overview

What this was about

Claus Weiland presents a "Pixel to Policy" approach for making endangered earth and environmental data rescue-ready, within the new DFG-funded SEND Earth Data project that aims at preservation workflows with legal guidance, resilient storage and a national data-sovereignty network grounded in NFDI4Earth and aligned with the AGU global data resilience framework. Use cases include camera-trap data from Polissya (Ukraine) with the Frankfurt Zoological Society, multidisciplinary monitoring from Socotra (Yemen), and redundant storage for Movebank tracking data. Data, annotations, Earth-observation links, machine-readable policies and workflow provenance are packaged as FAIR Digital Objects built on web standards (schema.org, RO-Crate, Bioschemas, Croissant) - "WebFDO" - with a Wildlife Monitoring Ontology and ODRL-based policy objects serving as "data lifeboats".

Why it matters. It offers a concrete technical pattern for moving at-risk biodiversity and environmental data between infrastructures without losing the legal and policy context that makes it usable.

Key ideas

In the room

  • Data at risk from institutional defunding, reprioritization toward security and AI, and armed conflict.
  • SEND Earth Data (Secure Endangered Earth Data), DFG-funded and started two months ago, delivers preservation workflows with legal guidance and usage agreements, resilient storage and a national data-sovereignty network grounded in NFDI4Earth.
  • Use cases: Polissya camera traps (Ukraine, with Frankfurt Zoological Society), Socotra monitoring (Yemen, with the Royal Society for the Conservation of Nature, Jordan), redundant storage for Movebank.
  • A capture event links images, ML annotations, DNA from samples, Earth-observation time series, machine-readable policies, licences and workflow provenance; drawing a software "box" around it with an identifier and type makes a FAIR Digital Object.
  • WebFDO uses schema.org/JSON-LD, RO-Crate, Bioschemas and MLCommons Croissant; DiSSCo digital specimens are the same concept.
  • Wildlife Monitoring Ontology (WLMO), derived from SOSA, with mappings to Camtrap DP via SSSOM.
  • Policy embedded with ODRL permissions and duties and the European Legislation Identifier ontology (from Biodiversity Meets Data), e.g. linking to the Nature Restoration Law.
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Notable moments

In their words

Transcript

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Programme abstract

From Pixels to Policy: Closing the Gap between In Situ Monitoring, Earth Observation, and Policy Actionability

Claus Weiland

Scaling biodiversity monitoring requires aligning multi-level observations - from field sensors to satellite imagery - with international policy targets such as the CBD Global Biodiversity Framework and the UNDRR Sendai Framework. As thematic architectures like the EU’s Biodiversity Data Space are established, a process exemplified by the Biodiversity Meets Data (BMD) project, the focus is shifting from simple data mobilization toward robust knowledge governance. The primary challenge is ensuring long-term digital resilience and persistent legal actionability for stakeholders, from policy-makers to Natura 2000 managers.

We address this by applying FAIR Digital Objects (FDOs) as "Actionable Knowledge Units" to bridge the gap between field deployments and regulatory requirements. We employ the WildLIVE Monitoring Ontology (WLMO) to link sensor deployments with biological events. By integrating the European Legislation Identifier (ELI) and the Open Digital Rights Language (ODRL), observations are mapped to frameworks such as the EU’s Biodiversity Strategy for 2030 and the Nature Restoration Law. Converting static legal text into machine-interpretable policy objects enables automated governance over data processing and access.

This approach ensures that critical environmental data remains a stable, machine-actionable cornerstone for conservation. We demonstrate this through three implementations: the Socotra Data Portal, safeguarding socio-ecological records in Yemen; the WildLIVE platform, integrating edge sensors with Earth Observation; and the Movebank database, providing harmonization and a digital security layer for heterogeneous biodiversity data.

Submitted to the conference programme before the talk, so the talk itself may differ.