Assessing the resources and mitigation potential of European forests

Hubert Hasenauer; Mathias Neumann; Adam Moreno; Steve Running

doi:10.1016/j.egypro.2017.08.052

Assessing the resources and mitigation potential of European forests

Hubert Hasenauer, Mathias Neumann, Adam Moreno, Steve Running

W. A. Franke College of Forestry and Conservation

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

National and international carbon reporting systems require information on forest carbon stocks. This information can be derived from national forest inventory data and remote sensing. Here we present the conceptual challenges in assessing forest resources across Europe by combining MODIS satellite versus terrestrial driven NPP estimates calculated from 13 national forest inventory (NFI) data covering 200.000 sampling plots. The results suggest that MODIS NPP predictions using local daily climate data and addressing stand desnsity effects, provide realistic forest productivity estimates. Ignoring these effects leads to an overestimation in the estimated carbon storage of European forests derived from satellite data.

Original language	English
Pages (from-to)	372-378
Number of pages	7
Journal	Energy Procedia
Volume	125
DOIs	https://doi.org/10.1016/j.egypro.2017.08.052
State	Published - 2017
Event	European Geosciences Union General Assembly 2017: Energy, Resources and the Environment (ERE): Meeting the Challenges of the Future - Vienna, Austria Duration: Apr 23 2017 → Apr 28 2017

Keywords

MOD17
MODIS
NFI
NPP
bioeconomy
biomass
carbon
forest inventory
remote sensing
satellite
volume

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.egypro.2017.08.052

Cite this

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title = "Assessing the resources and mitigation potential of European forests",

abstract = "National and international carbon reporting systems require information on forest carbon stocks. This information can be derived from national forest inventory data and remote sensing. Here we present the conceptual challenges in assessing forest resources across Europe by combining MODIS satellite versus terrestrial driven NPP estimates calculated from 13 national forest inventory (NFI) data covering 200.000 sampling plots. The results suggest that MODIS NPP predictions using local daily climate data and addressing stand desnsity effects, provide realistic forest productivity estimates. Ignoring these effects leads to an overestimation in the estimated carbon storage of European forests derived from satellite data.",

keywords = "MOD17, MODIS, NFI, NPP, bioeconomy, biomass, carbon, forest inventory, remote sensing, satellite, volume",

author = "Hubert Hasenauer and Mathias Neumann and Adam Moreno and Steve Running",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors. Published by Elsevier Ltd.; European Geosciences Union General Assembly 2017: Energy, Resources and the Environment (ERE): Meeting the Challenges of the Future ; Conference date: 23-04-2017 Through 28-04-2017",

year = "2017",

doi = "10.1016/j.egypro.2017.08.052",

language = "English",

volume = "125",

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}

TY - JOUR

T1 - Assessing the resources and mitigation potential of European forests

AU - Hasenauer, Hubert

AU - Neumann, Mathias

AU - Moreno, Adam

AU - Running, Steve

PY - 2017

Y1 - 2017

N2 - National and international carbon reporting systems require information on forest carbon stocks. This information can be derived from national forest inventory data and remote sensing. Here we present the conceptual challenges in assessing forest resources across Europe by combining MODIS satellite versus terrestrial driven NPP estimates calculated from 13 national forest inventory (NFI) data covering 200.000 sampling plots. The results suggest that MODIS NPP predictions using local daily climate data and addressing stand desnsity effects, provide realistic forest productivity estimates. Ignoring these effects leads to an overestimation in the estimated carbon storage of European forests derived from satellite data.

AB - National and international carbon reporting systems require information on forest carbon stocks. This information can be derived from national forest inventory data and remote sensing. Here we present the conceptual challenges in assessing forest resources across Europe by combining MODIS satellite versus terrestrial driven NPP estimates calculated from 13 national forest inventory (NFI) data covering 200.000 sampling plots. The results suggest that MODIS NPP predictions using local daily climate data and addressing stand desnsity effects, provide realistic forest productivity estimates. Ignoring these effects leads to an overestimation in the estimated carbon storage of European forests derived from satellite data.

KW - MOD17

KW - MODIS

KW - NFI

KW - NPP

KW - bioeconomy

KW - biomass

KW - carbon

KW - forest inventory

KW - remote sensing

KW - satellite

KW - volume

UR - http://www.scopus.com/inward/record.url?scp=85030668631&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2017.08.052

DO - 10.1016/j.egypro.2017.08.052

M3 - Conference article

AN - SCOPUS:85030668631

SN - 1876-6102

VL - 125

SP - 372

EP - 378

JO - Energy Procedia

JF - Energy Procedia

T2 - European Geosciences Union General Assembly 2017: Energy, Resources and the Environment (ERE): Meeting the Challenges of the Future

Y2 - 23 April 2017 through 28 April 2017

ER -

Assessing the resources and mitigation potential of European forests

Abstract

Keywords

UN SDGs

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