(Q28732224)

English

Estimation of aboveground biomass in alpine forests: a semi-empirical approach considering canopy transparency derived from airborne LiDAR data

scientific article (publication date: 2011)

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scholarly article

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Estimation of aboveground biomass in alpine forests: a semi-empirical approach considering canopy transparency derived from airborne LiDAR data (English)

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1 reference

based on heuristic

inferred from title

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based on heuristic

inferred from title

Bernhard Höfle

4

object named as

Bernhard Höfle

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Martin Rutzinger

object named as

Martin Rutzinger

3

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author name string

Andreas Jochem

1

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Markus Hollaus

2

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language of work or name

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publication date

2011

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11

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1

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278-95

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copyright license

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported

29 December 2010

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April 2022 Public Data File from Crossref

copyright status

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Correction of laser scanning intensity data: Data and model-driven approaches

1 reference

https://api.crossref.org/works/10.3390%2FS110100278

21 January 2018

Operational wide-area stem volume estimation based on airborne laser scanning and national forest inventory data

1 reference

https://api.crossref.org/works/10.3390%2FS110100278

21 January 2018

Growing stock estimation for alpine forests in Austria: a robust lidar-based approach

1 reference

https://api.crossref.org/works/10.3390%2FS110100278

21 January 2018

An application-oriented automated approach for co-registration of forest inventory and airborne laser scanning data

1 reference

https://api.crossref.org/works/10.3390%2FS110100278

21 January 2018

Aboveground biomass assessment in Colombia: A remote sensing approach

1 reference

https://api.crossref.org/works/10.3390%2FS110100278

21 January 2018

Estimating biomass carbon stocks for a Mediterranean forest in central Spain using LiDAR height and intensity data

1 reference

https://api.crossref.org/works/10.3390%2FS110100278

21 January 2018

Simulating the impact of discrete-return lidar system and survey characteristics over young conifer and broadleaf forests

1 reference

https://api.crossref.org/works/10.3390%2FS110100278

21 January 2018

Identifiers

10.3390/S110100278

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DBLP publication ID

journals/sensors/JochemHRH11

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DBLP Dataset 2021-01-02

28 January 2021

PMC publication ID

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