A year acquiring and publishing drone aerial images in research on agriculture, forestry, and private urban gardens

Olli Niemitalo, Eero Koskinen, Jari Hyväluoma, Outi Tahvonen, Esa Lientola, Henrik Lindberg, Olli Koskela, Iivari Kunttu

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Drone imaging has been shown to have increasing value in monitoring and analysing different kinds of processes related to agriculture and forestry. In long-term monitoring and observation tasks, huge amounts of image data are produced and stored. Environmental drone image datasets may have value beyond the studies that produced the data. A collection of image datasets from multiple data producers can, for example, provide more diverse training input for a machine learning model for vegetation classification, compared with a single dataset limited in time and location. To ensure reproducible research, research data such as image datasets should be published in usable and undegraded form, with sufficient metadata. Timely storage in a stable research data repository is recommended, to avoid loss of data. This work presents research datasets of 2020 drone images acquired from agricultural and forestry research sites of Häme University of Applied Sciences, and from Hämeenlinna urban areas. Those images that do not contain personal data are made freely available under a Creative Commons Attribution license. For images containing personal data, such as images of private homes, privacy-preserving forms of data sharing may be possible in the future.

Original languageEnglish
Pages (from-to)5-16
Number of pages12
JournalTechnology Innovation Management Review
Volume11
Issue number2
DOIs
Publication statusPublished - 2021
Publication typeA1 Journal article-refereed

Keywords

  • Agriculture
  • Dataset
  • Drone
  • Forestry
  • Gardens
  • Machine learning
  • Multispectral
  • Open access
  • Remote sensing
  • Uav

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Computer Science Applications

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