A new methodology for the estimation of biomass of coniferdominated boreal forest using NOAA AVHRR data

Tuomas Häme, Arto Salli, Kaj Andersson, Anssi Lohi

Research output: Contribution to journalArticleScientificpeer-review

90 Citations (Scopus)

Abstract

In this paper, a new methodology to estimate the biomass (organic matter) of conifer-dominated boreal forests is developed. It aims to estimate biomass of extensive areas where ground data are limited. First, the principal models are computed using ground measurements and high resolution satellite images. Spectral models are then applied directly to a calibrated AVHRR image mosaic covering the entire area of interest. This methodology was tested quantitatively in Finland, where detailed forest measurement data are available, on an area reaching from the west coast of Norway to the Ural mountains. The methodology appeared to perform beyond pre-test expectation.

Original languageEnglish
Pages (from-to)3211 - 3243
Number of pages33
JournalInternational Journal of Remote Sensing
Volume18
Issue number15
DOIs
Publication statusPublished - 1997
MoE publication typeA1 Journal article-refereed

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AVHRR
boreal forest
methodology
biomass
coniferous tree
organic matter
mountain
coast
mosaic
test
satellite image

Cite this

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abstract = "In this paper, a new methodology to estimate the biomass (organic matter) of conifer-dominated boreal forests is developed. It aims to estimate biomass of extensive areas where ground data are limited. First, the principal models are computed using ground measurements and high resolution satellite images. Spectral models are then applied directly to a calibrated AVHRR image mosaic covering the entire area of interest. This methodology was tested quantitatively in Finland, where detailed forest measurement data are available, on an area reaching from the west coast of Norway to the Ural mountains. The methodology appeared to perform beyond pre-test expectation.",
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A new methodology for the estimation of biomass of coniferdominated boreal forest using NOAA AVHRR data. / Häme, Tuomas; Salli, Arto; Andersson, Kaj; Lohi, Anssi.

In: International Journal of Remote Sensing, Vol. 18, No. 15, 1997, p. 3211 - 3243.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - A new methodology for the estimation of biomass of coniferdominated boreal forest using NOAA AVHRR data

AU - Häme, Tuomas

AU - Salli, Arto

AU - Andersson, Kaj

AU - Lohi, Anssi

PY - 1997

Y1 - 1997

N2 - In this paper, a new methodology to estimate the biomass (organic matter) of conifer-dominated boreal forests is developed. It aims to estimate biomass of extensive areas where ground data are limited. First, the principal models are computed using ground measurements and high resolution satellite images. Spectral models are then applied directly to a calibrated AVHRR image mosaic covering the entire area of interest. This methodology was tested quantitatively in Finland, where detailed forest measurement data are available, on an area reaching from the west coast of Norway to the Ural mountains. The methodology appeared to perform beyond pre-test expectation.

AB - In this paper, a new methodology to estimate the biomass (organic matter) of conifer-dominated boreal forests is developed. It aims to estimate biomass of extensive areas where ground data are limited. First, the principal models are computed using ground measurements and high resolution satellite images. Spectral models are then applied directly to a calibrated AVHRR image mosaic covering the entire area of interest. This methodology was tested quantitatively in Finland, where detailed forest measurement data are available, on an area reaching from the west coast of Norway to the Ural mountains. The methodology appeared to perform beyond pre-test expectation.

U2 - 10.1080/014311697217053

DO - 10.1080/014311697217053

M3 - Article

VL - 18

SP - 3211

EP - 3243

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

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ER -