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Vegetationsklassifizierung an Bundeswasserstraßen

Unter Verwendung von Deep-Learning-Ansätzen wurden Verfahren zur großräumigen Klassifikation von Vegetationseinheiten auf Luftbildern entwickelt.

Source checked 25 Aug 2026, 10:48Original MaKI source ↗Data schema ki-verwaltungsradar.internal.v1
MaKI identifierBD20244025635AuthorityBundesanstalt für GewässerkundeStatusDevelopmentOpen original profile ↗
Evidence-backed dossier

Vegetationsklassifizierung an Bundeswasserstraßen

Unter Verwendung von Deep-Learning-Ansätzen wurden Verfahren zur großräumigen Klassifikation von Vegetationseinheiten auf Luftbildern entwickelt.

Development
Open original profile ↗
Authority
Bundesanstalt für Gewässerkunde
Administrative level
Federal
Ministry
Bundesministerium für Verkehr
Risk classification
Minimal riskSelf-reported in the MaKI profile, not an i6eal assessment
AI method
Computer Vision · Deep Learning · Machine Learning
Application area
Energie und Umwelt · Forschung
Governance matrix

Published, planned or open

The matrix separates published information, planned reviews, non-required information and unknown fields. It deliberately has no composite score.

Risk classificationMinimales Risiko
Fundamental-rights reviewNicht erforderlich
Data-protection statementNicht erforderlich
Contractor useKeine
Intervention optionsNicht erforderlich
Project linkNot published
Published context

Affected groups and risk measures

Affected groups
Nicht erforderlich
Risk measures
Nicht erforderlich
Described harm risks
Nicht erforderlich
Timeline

Project and publication dates

These dates come from the current MaKI profile. They are not i6eal observation history.

  1. Project start
  2. First published
  3. Last published
MaKI identifierBD20244025635
Evidence basispublished authority profile
Source state25 Aug 2026, 08:48
Observed by i6eal

Observation history

This profile has been observed since 25 Aug 2026. Source-reported project and publication dates remain separate.

First observed
Last observed
Related tools

Useful next steps

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IndexAI Procurement & Supplier IndexWhich AI contracts does the public sector award, who wins, and which technology dependencies are explicitly disclosed? Procurement updates daily from TED and oeffentlichevergabe.de; suppliers use exact source IDs only.Provenance checkPublic-sector AI system passportSee which public records can be linked to each published government AI system through stable identifiers or exact source-declared repository URLs—with a source for every edge and visible evidence boundaries.Data reportGerman state AI evidence monitorCompare three separate public evidence lanes across all 16 German states: exactly assigned AI system profiles, AI-related procurement and physical infrastructure—without a composite score or invented ranking.