Automated detection of invasive alien plants along highways

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/

Funding Information:

This work was supported by:
  • Federal Roads Office (FEDRO) (link) (Grant/Award: VSS 2016/224)

Related Datasets

Trocmé, M., Nobis, M., Lang, A., Mayer, C., Ginzler, C., Timofte, R. (2023). Invasive neophytes along national roads. EnviDat. https://www.doi.org/10.16904/envidat.562.

Related Publications

wsl:38256 wsl:38258

Citation:

Nobis, Michael; Mayer, Christoph; Ginzler, Christian; Timofte, Radu (2020). Automated detection of invasive alien plants along highways. EnviDat. doi:10.16904/envidat.561.

DataCite ISO 19139 GCMD DIF README.txt BibTex RIS

Data and Resources

Metadata

Field Values
DOI 10.16904/envidat.561
Publication State Published
Authors
  • Email: michael.nobisfoo(at)wsl.ch ORCID: 0000-0003-3285-1590 Given Name: Michael Family Name: Nobis Affiliation: Dynamic Macroecology, Landscape Change Science, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
  • Email: christoph.mayerfoo(at)vision.ee.ethz.ch Given Name: Christoph Family Name: Mayer Affiliation: ETH Zurich, Computer Vision Lab
  • Email: christian.ginzlerfoo(at)wsl.ch ORCID: 0000-0001-6365-2151 Given Name: Christian Family Name: Ginzler Affiliation: Remote Sensing, Landscape Change Science, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
  • Email: radu.timoftefoo(at)uni-wuerzburg.de Given Name: Radu Family Name: Timofte Affiliation: ETH Zurich, Computer Vision Lab
Contact Person Given Name: Michael Family Name: Nobis Email: michael.nobisfoo(at)wsl.ch
Subtitles
Publication Publisher: EnviDat Year: 2020
Dates
  • Type: Collected Date: 2019-05-27 End Date: 2019-10-30
Version
Type dataset
General Type Dataset
Language
Location
Content License Creative Commons Attribution Share-Alike (CC-BY-SA)    [Open Data]
Last Updated December 3, 2024, 14:20 (UTC)
Created November 18, 2024, 16:08 (UTC)