Conclusions and Outlook—Summary of Big Data in Forestry

Jukka Miettinen; Renne Tergujeff

doi:10.1007/978-3-030-71069-9_27

Conclusions and Outlook—Summary of Big Data in Forestry

BA6408 Remote sensing

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific

1 Citation (Scopus)

Abstract

In this chapter, we summarize the findings from the forestry pilots conducted during the DataBio project. Although the pilots demonstrated the functionality of big data in forestry through several practical applications and services, they also highlighted areas where further development is needed. More effort is needed particularly in ensuring smooth connections between the technical components of the processing pipelines, as well as designing the best business solutions within the big data service chain and between the service providers and users. Overall, the challenge for the coming years is to establish operational big data processing pipelines that meet the requirements and expectations of forestry stakeholders.

Original language	English
Title of host publication	Big Data in Bioeconomy
Subtitle of host publication	Results from the European DataBio Project
Editors	Caj Södergärd, Tomas Mildorf, Ephrem Habyarimana, Arne Berre, Jose Fernandes, Christian Zinke-Wehlmann
Publisher	Springer
Pages	363-367
Number of pages	5
ISBN (Electronic)	978-3-030-71069-9
ISBN (Print)	978-3-030-71068-2
DOIs	https://doi.org/10.1007/978-3-030-71069-9_27
Publication status	Published - 2021
MoE publication type	B2 Part of a book or another research book

Keywords

platform connections
value-adding chain
business practices
forest management practices

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-71069-9_27Licence: CC BY

Cite this

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Conclusions and Outlook—Summary of Big Data in Forestry. / Miettinen, Jukka ; Tergujeff, Renne.
Big Data in Bioeconomy: Results from the European DataBio Project. ed. / Caj Södergärd; Tomas Mildorf; Ephrem Habyarimana; Arne Berre; Jose Fernandes; Christian Zinke-Wehlmann. Springer, 2021. p. 363-367.

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific

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Conclusions and Outlook—Summary of Big Data in Forestry

Abstract

Keywords

UN SDGs

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