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

Tuomas Häme; Arto Salli; Kari Lahti

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 proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	Environment Observation and Climate Modelling Through International Space Projects
Subtitle of host publication	Remote Sensing for Global Change, Climate Change and Atmosphere and Ocean Forecasting
Publisher	European Space Agency (ESA)
Pages	75-78
Volume	1
Publication status	Published - 1992
MoE publication type	Not Eligible
Event	European International Space Year Conference 1992 - Munich, Germany Duration: 30 Mar 1992 → 4 Apr 1992

Conference

Conference	European International Space Year Conference 1992
Country/Territory	Germany
City	Munich
Period	30/03/92 → 4/04/92

Keywords

remote sensing

Cite this

@inproceedings{19dda94e56134a4e9b64185444b056fa,

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; European International Space Year Conference 1992 ; Conference date: 30-03-1992 Through 04-04-1992",

year = "1992",

language = "English",

volume = "1",

pages = "75--78",

booktitle = "Environment Observation and Climate Modelling Through International Space Projects",

publisher = "European Space Agency (ESA)",

address = "France",

}

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 proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

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

AU - Häme, Tuomas

AU - Salli, Arto

AU - Lahti, Kari

N1 - Project code: INS25007

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.

KW - remote sensing

M3 - Conference article in proceedings

VL - 1

SP - 75

EP - 78

BT - Environment Observation and Climate Modelling Through International Space Projects

PB - European Space Agency (ESA)

T2 - European International Space Year Conference 1992

Y2 - 30 March 1992 through 4 April 1992

ER -

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

Abstract

Conference

Keywords

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