Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

Abstract

This study is part of the on-going NewForest project, whose objective is to develop remote sensing data analysis methods for producing species-wise forest variable estimates with accuracy that is adequate for operational forest inventory. Species-wise forest estimates relies on individual treetop locations detection from the remote sensing imagery. As ground data used for validation has been acquired at a different date as the satellite and aerial imagery, one of the first step was to identify clearcuts and thinning areas that occurred within the temporal span of all gathered data. This was done using image-based change detection.
Original languageEnglish
Title of host publicationProceedings of Nordic Remote Sensing Days 2009
Subtitle of host publicationBook of Abstracts
PublisherHelsinki University of Technology
Pages98
ISBN (Electronic)978-952-60-3055-5
ISBN (Print)978-952-60-3054-8
Publication statusPublished - 2010
MoE publication typeNot Eligible

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clearcutting
satellite imagery
imagery
remote sensing
forest inventory
thinning
detection
method
data analysis
project

Cite this

Molinier, M., & Astola, H. (2010). Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. In Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts (pp. 98). Helsinki University of Technology. TKK Radio Science and Engineering Publications, No. Report R13
Molinier, Matthieu ; Astola, Heikki. / Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts. Helsinki University of Technology, 2010. pp. 98 (TKK Radio Science and Engineering Publications; No. Report R13).
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Molinier, M & Astola, H 2010, Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. in Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts. Helsinki University of Technology, TKK Radio Science and Engineering Publications, no. Report R13, pp. 98.

Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. / Molinier, Matthieu; Astola, Heikki.

Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts. Helsinki University of Technology, 2010. p. 98 (TKK Radio Science and Engineering Publications; No. Report R13).

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

TY - CHAP

T1 - Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates

AU - Molinier, Matthieu

AU - Astola, Heikki

N1 - Project code: 32655

PY - 2010

Y1 - 2010

N2 - This study is part of the on-going NewForest project, whose objective is to develop remote sensing data analysis methods for producing species-wise forest variable estimates with accuracy that is adequate for operational forest inventory. Species-wise forest estimates relies on individual treetop locations detection from the remote sensing imagery. As ground data used for validation has been acquired at a different date as the satellite and aerial imagery, one of the first step was to identify clearcuts and thinning areas that occurred within the temporal span of all gathered data. This was done using image-based change detection.

AB - This study is part of the on-going NewForest project, whose objective is to develop remote sensing data analysis methods for producing species-wise forest variable estimates with accuracy that is adequate for operational forest inventory. Species-wise forest estimates relies on individual treetop locations detection from the remote sensing imagery. As ground data used for validation has been acquired at a different date as the satellite and aerial imagery, one of the first step was to identify clearcuts and thinning areas that occurred within the temporal span of all gathered data. This was done using image-based change detection.

M3 - Conference abstract in proceedings

SN - 978-952-60-3054-8

SP - 98

BT - Proceedings of Nordic Remote Sensing Days 2009

PB - Helsinki University of Technology

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Molinier M, Astola H. Clearcut Detection between Aerial and Satellite Imagery Supporting Species-wise Forest Variable Estimates. In Proceedings of Nordic Remote Sensing Days 2009 : Book of Abstracts. Helsinki University of Technology. 2010. p. 98. (TKK Radio Science and Engineering Publications; No. Report R13).