Automated detection of invasive alien plants along highways

DOI

Transport infrastructure such as highways are important corridors for the spread of invasive species. In this project, an automated detection and mapping of two invasive alien plant species was developed and applied along highways in the Swiss Central Plateau, based on artificial intelligence (AI, Deep Learning). The two target species are tree of heaven (Ailanthus altissima) and narrow-leaved ragwort (Senecio inaequidens).

The data is part of the project report and shows the mapping results in interactive maps. Technically speaking, these are self-contained HTML files that can be displayed with standard web browsers. To reduce the file size, the downloads are provided in zip format.

Report: https://www.mobilityplatform.ch/de/research-data-shop/product/1690

Project: https://www.wsl.ch/en/projects/automated-detection-of-invasive-alien-plants-along-highways/

Identifier
DOI https://doi.org/10.16904/envidat.561
Metadata Access https://www.envidat.ch/api/action/package_show?id=1bf97970-cc9e-4101-aaf3-b47a3906e7a1
Provenance
Creator Michael, Nobis, 0000-0003-3285-1590; Christoph, Mayer,; Christian, Ginzler, 0000-0001-6365-2151; Radu, Timofte,
Publisher EnviDat
Publication Year 2020
Funding Reference Federal Roads Office (FEDRO) , VSS 2016/224
Rights cc-by-sa; Creative Commons Attribution Share-Alike (CC-BY-SA)
OpenAccess true
Contact envidat(at)wsl.ch
Representation
Resource Type Dataset
Discipline Environmental Sciences
Spatial Coverage (5.956W, 45.818S, 10.492E, 47.808N)
Temporal Coverage Begin 2019-05-27T00:00:00Z
Temporal Coverage End 2019-10-30T00:00:00Z