Stand-level stem volume of boreal forests from spaceborne SAR imagery at L-Band

Oleg Antropov, Yrjö Rauste, Heikki Ahola, Tuomas Häme

Research output: Contribution to journalArticleScientificpeer-review

27 Citations (Scopus)

Abstract

This paper presents a modified robust stem volume retrieval approach suitable for use with L-band SAR imagery. Multitemporal dual-polarization SAR imagery acquired by ALOS PALSAR during the summer-autumn 2007 is used in the study, along with stand-wise forest inventory data from two boreal forest sites situated in central Finland. The average sizes of forest stands at the study sites were 3 ha and 4.8 ha. The method used employs model fitting with an inverted semi-empirical boreal forest model, and takes advantage of the multitemporal aspect in order to improve the stability and accuracy of stem volume estimation. Multitemporal combination of model output in a multivariate regression framework allows volume estimates to be obtained with an RMSE about 43% of the mean of 110 m3 /ha, and a coefficient of determination R2 of 0.71 in the best case. The methodology used can be employed to produce large-area stem volume maps from dual-polarization ALOS PALSAR imagery mosaics.
Original languageEnglish
Pages (from-to)35-44
Number of pages10
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume6
Issue number1
DOIs
Publication statusPublished - 2013
MoE publication typeA1 Journal article-refereed

Fingerprint

boreal forest
synthetic aperture radar
imagery
stem
PALSAR
ALOS
Polarization
polarization
forest inventory
autumn
methodology
summer

Keywords

  • ALOS PALSAR
  • boreal forest
  • forest inventory
  • synthetic aperture radar (SAR)

Cite this

@article{3ca4db0317584c61ace5943125e3af97,
title = "Stand-level stem volume of boreal forests from spaceborne SAR imagery at L-Band",
abstract = "This paper presents a modified robust stem volume retrieval approach suitable for use with L-band SAR imagery. Multitemporal dual-polarization SAR imagery acquired by ALOS PALSAR during the summer-autumn 2007 is used in the study, along with stand-wise forest inventory data from two boreal forest sites situated in central Finland. The average sizes of forest stands at the study sites were 3 ha and 4.8 ha. The method used employs model fitting with an inverted semi-empirical boreal forest model, and takes advantage of the multitemporal aspect in order to improve the stability and accuracy of stem volume estimation. Multitemporal combination of model output in a multivariate regression framework allows volume estimates to be obtained with an RMSE about 43{\%} of the mean of 110 m3 /ha, and a coefficient of determination R2 of 0.71 in the best case. The methodology used can be employed to produce large-area stem volume maps from dual-polarization ALOS PALSAR imagery mosaics.",
keywords = "ALOS PALSAR, boreal forest, forest inventory, synthetic aperture radar (SAR)",
author = "Oleg Antropov and Yrj{\"o} Rauste and Heikki Ahola and Tuomas H{\"a}me",
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year = "2013",
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pages = "35--44",
journal = "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing",
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Stand-level stem volume of boreal forests from spaceborne SAR imagery at L-Band. / Antropov, Oleg; Rauste, Yrjö; Ahola, Heikki; Häme, Tuomas.

In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 6, No. 1, 2013, p. 35-44.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Stand-level stem volume of boreal forests from spaceborne SAR imagery at L-Band

AU - Antropov, Oleg

AU - Rauste, Yrjö

AU - Ahola, Heikki

AU - Häme, Tuomas

N1 - Project code: 107021, 114190

PY - 2013

Y1 - 2013

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AB - This paper presents a modified robust stem volume retrieval approach suitable for use with L-band SAR imagery. Multitemporal dual-polarization SAR imagery acquired by ALOS PALSAR during the summer-autumn 2007 is used in the study, along with stand-wise forest inventory data from two boreal forest sites situated in central Finland. The average sizes of forest stands at the study sites were 3 ha and 4.8 ha. The method used employs model fitting with an inverted semi-empirical boreal forest model, and takes advantage of the multitemporal aspect in order to improve the stability and accuracy of stem volume estimation. Multitemporal combination of model output in a multivariate regression framework allows volume estimates to be obtained with an RMSE about 43% of the mean of 110 m3 /ha, and a coefficient of determination R2 of 0.71 in the best case. The methodology used can be employed to produce large-area stem volume maps from dual-polarization ALOS PALSAR imagery mosaics.

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