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1
The contribution of forest carbon credit projects to addressing the climate change challenge
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Artigo
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The contribution of forest carbon credit projects to addressing the climate change challenge

van der Gaast, Wytze ; Sikkema, Richard ; Vohrer, Moriz

Climate policy, 2018-01, Vol.18 (1), p.42-48 [Periódico revisado por pares]

London: Taylor & Francis

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2
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
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Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

Mäyrä, Janne ; Keski-Saari, Sarita ; Kivinen, Sonja ; Tanhuanpää, Topi ; Hurskainen, Pekka ; Kullberg, Peter ; Poikolainen, Laura ; Viinikka, Arto ; Tuominen, Sakari ; Kumpula, Timo ; Vihervaara, Petteri

Remote sensing of environment, 2021-04, Vol.256, p.112322, Article 112322 [Periódico revisado por pares]

New York: Elsevier Inc

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3
Co-pyrolysis of waste tire and pine bark for syngas and char production
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Artigo
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Co-pyrolysis of waste tire and pine bark for syngas and char production

Wang, Zhiwei ; Burra, Kiranraj G. ; Zhang, Mengju ; Li, Xueqin ; Policella, Matteo ; Lei, Tingzhou ; Gupta, Ashwani K.

Fuel (Guildford), 2020-08, Vol.274, p.117878, Article 117878 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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4
Potential complementarity between forest carbon sequestration incentives and biomass energy expansion
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Potential complementarity between forest carbon sequestration incentives and biomass energy expansion

Baker, J.S. ; Wade, C.M. ; Sohngen, B.L. ; Ohrel, S. ; Fawcett, A.A.

Energy policy, 2019-03, Vol.126, p.391-401 [Periódico revisado por pares]

England: Elsevier Ltd

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5
Forest and mineral volatility and economic performance: Evidence from frequency domain causality approach for global data
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Artigo
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Forest and mineral volatility and economic performance: Evidence from frequency domain causality approach for global data

Xie, Mingting ; Irfan, Muhammad ; Razzaq, Asif ; Dagar, Vishal

Resources policy, 2022-06, Vol.76, p.102685, Article 102685 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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6
The potential for Eucalyptus as a wood fuel in the UK
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Artigo
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The potential for Eucalyptus as a wood fuel in the UK

Leslie, A.D. ; Mencuccini, M. ; Perks, M.

Applied energy, 2012-01, Vol.89 (1), p.176-182 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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7
Co-gasification characteristics of waste tire and pine bark mixtures in CO2 atmosphere
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Co-gasification characteristics of waste tire and pine bark mixtures in CO2 atmosphere

Wang, Zhiwei ; Burra, Kiran G. ; Lei, Tingzhou ; Gupta, Ashwani K.

Fuel (Guildford), 2019-12, Vol.257, p.116025, Article 116025 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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8
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
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lidR: An R package for analysis of Airborne Laser Scanning (ALS) data

Roussel, Jean-Romain ; Auty, David ; Coops, Nicholas C. ; Tompalski, Piotr ; Goodbody, Tristan R.H. ; Meador, Andrew Sánchez ; Bourdon, Jean-François ; de Boissieu, Florian ; Achim, Alexis

Remote sensing of environment, 2020-12, Vol.251, p.112061, Article 112061 [Periódico revisado por pares]

New York: Elsevier Inc

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9
Global land-use implications of first and second generation biofuel targets
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Artigo
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Global land-use implications of first and second generation biofuel targets

Havlík, Petr ; Schneider, Uwe A. ; Schmid, Erwin ; Böttcher, Hannes ; Fritz, Steffen ; Skalský, Rastislav ; Aoki, Kentaro ; Cara, Stéphane De ; Kindermann, Georg ; Kraxner, Florian ; Leduc, Sylvain ; McCallum, Ian ; Mosnier, Aline ; Sauer, Timm ; Obersteiner, Michael

Energy policy, 2011-10, Vol.39 (10), p.5690-5702 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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10
Opaque voxel-based tree models for virtual laser scanning in forestry applications
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Opaque voxel-based tree models for virtual laser scanning in forestry applications

Weiser, Hannah ; Winiwarter, Lukas ; Anders, Katharina ; Fassnacht, Fabian Ewald ; Höfle, Bernhard

Remote sensing of environment, 2021-11, Vol.265, p.112641, Article 112641 [Periódico revisado por pares]

New York: Elsevier Inc

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