IAS pilot - Observations of alien plant species using a vehicle-mounted camera system in Flanders (Belgium)

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Authors: Bram D'hondt, Frédérique Steen, Axel Neukermans, Tim Adriaens, Lars Dalby, Mark A. K. Gillespie, Kavi Askholm Mellerup, Toke T. Høye, Pierre Bonnet, Alexis Joly, Sanne Govaert
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Abstract

IAS pilot - Observations of alien plant species using a vehicle-mounted camera system in Flanders (Belgium) is an occurrence dataset published by the Research Institute for Nature and Forest (INBO). It is part of the Biodiversa IAS pilot project (2023-2027), that implemented the monitoring of invasive alien plants using a vehicle-mounted camera system in various countries across Europe. Specifically, the CamAlien camera system (Dyrmann et al. 2024) was mounted on a car to capture images of the roadside vegetation. Data have been standardized to Darwin Core. Issues with the dataset can be reported at https://github.com/inbo/ias-pilot/issues.Images from the cameras were processed with image recognition algorithms provided through Pl@ntNet (Espitalier et al. 2025). For the current dataset, only pre-selected species of regional importance were retained, and occurrences (images) with insufficient confidence were filtered out.We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.This dataset was published as open data for the IAS pilot project (funded by Biodiversa+) and the OneSTOP project (funded by Horizon Europe), with technical support provided by the Research Institute for Nature and Forest (INBO).

Fields of Study & Subjects

Ecology and Vegetation Dynamics Studies Species Distribution and Climate Change Botany and Plant Ecology Studies

Publication details

Journal / source
Open Natuur Archief (Open Nature Archive)
Publication date
1 January 2026
Language
EN
Document type
Dataset