Estimation of carbon storage and organic matter in boreal forests using optical remote sensing data

Tuomas Häme, Arto Salli, Kari Lahti

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

A study to produce a simple method to map the storages of organic matter and carbon in boreal coniferous forests, which form an important pool in global carbon cycle, is presented. The Normalized Differential Vegetation Index (NDVI), succesful for mapping biomass in equatorial regions, does not work at all with coniferous forests. A pilot 'boreal biomass index' based on remote sensing images was developed. The model was successfully tested with both LANDSAT Thematic Mapper (TM), and NOAA AVHRR (Advanced Very High Resolution Radiomer) images.
Original languageEnglish
Title of host publicationEnvironment Observation and Climate Modelling Through International Space Projects
Subtitle of host publicationRemote Sensing for Global Change, Climate Change and Atmosphere and Ocean Forecasting
PublisherEuropean Space Agency ESA
Pages75-78
Volume1
Publication statusPublished - 1992
MoE publication typeNot Eligible
EventEuropean International Space Year Conference 1992 - Munich, Germany
Duration: 30 Mar 19924 Apr 1992

Conference

ConferenceEuropean International Space Year Conference 1992
CountryGermany
CityMunich
Period30/03/924/04/92

Fingerprint

coniferous forest
carbon sequestration
boreal forest
remote sensing
organic matter
biomass
image resolution
vegetation index
carbon cycle
organic carbon
method
index

Keywords

  • remote sensing

Cite this

Häme, T., Salli, A., & Lahti, K. (1992). Estimation of carbon storage and organic matter in boreal forests using optical remote sensing data. In Environment Observation and Climate Modelling Through International Space Projects: Remote Sensing for Global Change, Climate Change and Atmosphere and Ocean Forecasting (Vol. 1, pp. 75-78). European Space Agency ESA.
Häme, Tuomas ; Salli, Arto ; Lahti, Kari. / Estimation of carbon storage and organic matter in boreal forests using optical remote sensing data. Environment Observation and Climate Modelling Through International Space Projects: Remote Sensing for Global Change, Climate Change and Atmosphere and Ocean Forecasting. Vol. 1 European Space Agency ESA, 1992. pp. 75-78
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title = "Estimation of carbon storage and organic matter in boreal forests using optical remote sensing data",
abstract = "A study to produce a simple method to map the storages of organic matter and carbon in boreal coniferous forests, which form an important pool in global carbon cycle, is presented. The Normalized Differential Vegetation Index (NDVI), succesful for mapping biomass in equatorial regions, does not work at all with coniferous forests. A pilot 'boreal biomass index' based on remote sensing images was developed. The model was successfully tested with both LANDSAT Thematic Mapper (TM), and NOAA AVHRR (Advanced Very High Resolution Radiomer) images.",
keywords = "remote sensing",
author = "Tuomas H{\"a}me and Arto Salli and Kari Lahti",
note = "Project code: INS25007",
year = "1992",
language = "English",
volume = "1",
pages = "75--78",
booktitle = "Environment Observation and Climate Modelling Through International Space Projects",
publisher = "European Space Agency ESA",
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Häme, T, Salli, A & Lahti, K 1992, Estimation of carbon storage and organic matter in boreal forests using optical remote sensing data. in Environment Observation and Climate Modelling Through International Space Projects: Remote Sensing for Global Change, Climate Change and Atmosphere and Ocean Forecasting. vol. 1, European Space Agency ESA, pp. 75-78, European International Space Year Conference 1992, Munich, Germany, 30/03/92.

Estimation of carbon storage and organic matter in boreal forests using optical remote sensing data. / Häme, Tuomas; Salli, Arto; Lahti, Kari.

Environment Observation and Climate Modelling Through International Space Projects: Remote Sensing for Global Change, Climate Change and Atmosphere and Ocean Forecasting. Vol. 1 European Space Agency ESA, 1992. p. 75-78.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Estimation of carbon storage and organic matter in boreal forests using optical remote sensing data

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AU - Lahti, Kari

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PY - 1992

Y1 - 1992

N2 - A study to produce a simple method to map the storages of organic matter and carbon in boreal coniferous forests, which form an important pool in global carbon cycle, is presented. The Normalized Differential Vegetation Index (NDVI), succesful for mapping biomass in equatorial regions, does not work at all with coniferous forests. A pilot 'boreal biomass index' based on remote sensing images was developed. The model was successfully tested with both LANDSAT Thematic Mapper (TM), and NOAA AVHRR (Advanced Very High Resolution Radiomer) images.

AB - A study to produce a simple method to map the storages of organic matter and carbon in boreal coniferous forests, which form an important pool in global carbon cycle, is presented. The Normalized Differential Vegetation Index (NDVI), succesful for mapping biomass in equatorial regions, does not work at all with coniferous forests. A pilot 'boreal biomass index' based on remote sensing images was developed. The model was successfully tested with both LANDSAT Thematic Mapper (TM), and NOAA AVHRR (Advanced Very High Resolution Radiomer) images.

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BT - Environment Observation and Climate Modelling Through International Space Projects

PB - European Space Agency ESA

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Häme T, Salli A, Lahti K. Estimation of carbon storage and organic matter in boreal forests using optical remote sensing data. In Environment Observation and Climate Modelling Through International Space Projects: Remote Sensing for Global Change, Climate Change and Atmosphere and Ocean Forecasting. Vol. 1. European Space Agency ESA. 1992. p. 75-78