Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data

Jukka Miettinen; Stephanie Bonnet; Allan A. Nielsen; Seppo Huurinainen; Renne Tergujeff

doi:10.1007/978-3-030-71069-9_24

Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data

Jukka Miettinen
, Stephanie Bonnet
, Allan A. Nielsen
, Seppo Huurinainen
, Renne Tergujeff

BA6408 Remote sensing

Spacebel S.A.
Technical University of Denmark (DTU)
Wuudis Solutions Oy

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

Abstract

In this pilot, we demonstrate the usability of online platforms to provide forest inventory systems for exploiting the benefits of big data. The pilot highlights the technical transferability of online platform based forest inventory services. All of the services tested in the piloting sites were technically implemented successfully. However, in new geographical areas, strong user involvement in service definition and field data provision will be needed to provide reliable and meaningful results for the users. Overall, the pilot demonstrated well the benefits of technology use in forest monitoring through a range of forest inventory applications utilizing online big data processing approaches and inter-platform connections.

Original language	English
Title of host publication	Big Data in Bioeconomy
Subtitle of host publication	Results from the European DataBio Project
Editors	Caj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne J. Berre, Jose A. Fernandes, Christian Zinke-Wehlmann
Publisher	Springer
Pages	321-333
Number of pages	13
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_24
Publication status	Published - 2021
MoE publication type	B2 Part of a book or another research book

Keywords

forest variable estimation
change monitoring
forestry TEP
EO Regions!
Wuudis

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10.1007/978-3-030-71069-9_24Licence: CC BY

Cite this

Miettinen, J., Bonnet, S., Nielsen, A. A., Huurinainen, S., & Tergujeff, R. (2021). Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data. In C. Södergård, T. Mildorf, E. Habyarimana, A. J. Berre, J. A. Fernandes, & C. Zinke-Wehlmann (Eds.), Big Data in Bioeconomy: Results from the European DataBio Project (pp. 321-333). Springer. https://doi.org/10.1007/978-3-030-71069-9_24

Miettinen, Jukka ; Bonnet, Stephanie ; Nielsen, Allan A. et al. / Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data. Big Data in Bioeconomy: Results from the European DataBio Project. editor / Caj Södergård ; Tomas Mildorf ; Ephrem Habyarimana ; Arne J. Berre ; Jose A. Fernandes ; Christian Zinke-Wehlmann. Springer, 2021. pp. 321-333

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abstract = "In this pilot, we demonstrate the usability of online platforms to provide forest inventory systems for exploiting the benefits of big data. The pilot highlights the technical transferability of online platform based forest inventory services. All of the services tested in the piloting sites were technically implemented successfully. However, in new geographical areas, strong user involvement in service definition and field data provision will be needed to provide reliable and meaningful results for the users. Overall, the pilot demonstrated well the benefits of technology use in forest monitoring through a range of forest inventory applications utilizing online big data processing approaches and inter-platform connections.",

keywords = "forest variable estimation, change monitoring, forestry TEP, EO Regions!, Wuudis",

author = "Jukka Miettinen and Stephanie Bonnet and Nielsen, \{Allan A.\} and Seppo Huurinainen and Renne Tergujeff",

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booktitle = "Big Data in Bioeconomy",

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address = "Germany",

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Miettinen, J, Bonnet, S, Nielsen, AA, Huurinainen, S & Tergujeff, R 2021, Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data. in C Södergård, T Mildorf, E Habyarimana, AJ Berre, JA Fernandes & C Zinke-Wehlmann (eds), Big Data in Bioeconomy: Results from the European DataBio Project. Springer, pp. 321-333. https://doi.org/10.1007/978-3-030-71069-9_24

Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data. / Miettinen, Jukka; Bonnet, Stephanie; Nielsen, Allan A. et al.
Big Data in Bioeconomy: Results from the European DataBio Project. ed. / Caj Södergård; Tomas Mildorf; Ephrem Habyarimana; Arne J. Berre; Jose A. Fernandes; Christian Zinke-Wehlmann. Springer, 2021. p. 321-333.

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

TY - CHAP

T1 - Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data

AU - Miettinen, Jukka

AU - Bonnet, Stephanie

AU - Nielsen, Allan A.

AU - Huurinainen, Seppo

AU - Tergujeff, Renne

PY - 2021

Y1 - 2021

N2 - In this pilot, we demonstrate the usability of online platforms to provide forest inventory systems for exploiting the benefits of big data. The pilot highlights the technical transferability of online platform based forest inventory services. All of the services tested in the piloting sites were technically implemented successfully. However, in new geographical areas, strong user involvement in service definition and field data provision will be needed to provide reliable and meaningful results for the users. Overall, the pilot demonstrated well the benefits of technology use in forest monitoring through a range of forest inventory applications utilizing online big data processing approaches and inter-platform connections.

AB - In this pilot, we demonstrate the usability of online platforms to provide forest inventory systems for exploiting the benefits of big data. The pilot highlights the technical transferability of online platform based forest inventory services. All of the services tested in the piloting sites were technically implemented successfully. However, in new geographical areas, strong user involvement in service definition and field data provision will be needed to provide reliable and meaningful results for the users. Overall, the pilot demonstrated well the benefits of technology use in forest monitoring through a range of forest inventory applications utilizing online big data processing approaches and inter-platform connections.

KW - forest variable estimation

KW - change monitoring

KW - forestry TEP

KW - EO Regions!

KW - Wuudis

UR - https://www.scopus.com/pages/publications/105003326485

U2 - 10.1007/978-3-030-71069-9_24

DO - 10.1007/978-3-030-71069-9_24

M3 - Chapter or book article

SN - 978-3-030-71068-2

SP - 321

EP - 333

BT - Big Data in Bioeconomy

A2 - Södergård, Caj

A2 - Mildorf, Tomas

A2 - Habyarimana, Ephrem

A2 - Berre, Arne J.

A2 - Fernandes, Jose A.

A2 - Zinke-Wehlmann, Christian

PB - Springer

ER -

Miettinen J, Bonnet S, Nielsen AA, Huurinainen S, Tergujeff R. Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data. In Södergård C, Mildorf T, Habyarimana E, Berre AJ, Fernandes JA, Zinke-Wehlmann C, editors, Big Data in Bioeconomy: Results from the European DataBio Project. Springer. 2021. p. 321-333 doi: 10.1007/978-3-030-71069-9_24

Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data

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Keywords

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