Automatic mapping of tree crowns in scattered-tree woodlands using low-density LiDAR data and infrared imagery-Reference-Cited by-同舟云学术

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Automatic mapping of tree crowns in scattered-tree woodlands using low-density LiDAR data and infrared imagery

Published:2020-06-21 Issue:5 Volume:94 Page:1989-2002
ISSN:0167-4366
Container-title:Agroforestry Systems
language:en
Short-container-title:Agroforest Syst

Author:

Arenas-Corraliza Isabel^ORCID,Nieto Ana,Moreno Gerardo

Funder

European Regional Development Fund and Junta de Extremadura

Consejería de Educación y Empleo, Junta de Extremadura

Fundación Tatiana Pérez de Guzmán el Bueno

Publisher

Springer Science and Business Media LLC

Subject

Agronomy and Crop Science,Forestry

Link

https://link.springer.com/content/pdf/10.1007/s10457-020-00517-2.pdf

Reference42 articles.

1. Antonarakis AS, Richards KS, Brasington J (2008) Object-based land cover classification using airborne LiDAR. Remote Sens Environ 112:2988–2998. https://doi.org/10.1016/j.rse.2008.02.004

2. Buitrago MF, Skidmore AK, Groen TA, Hecker CA (2018) Connecting infrared spectra with plant traits to identify species. ISPRS J Photogram Remote Sens 139:183–200

3. Campbell MJ, Dennison PE, Hudak AT et al (2018) Remote sensing of environment quantifying understory vegetation density using small-footprint airborne lidar. Remote Sens Environ 215:330–342. https://doi.org/10.1016/j.rse.2018.06.023

4. Carreiras JMB, Pereira JMC, Pereira JS (2006) Estimation of tree canopy cover in evergreen oak woodlands using remote sensing. For Ecol Manag 223:45–53. https://doi.org/10.1016/j.foreco.2005.10.056

5. Dalponte M, Frizzera L, Gianelle D (2019) Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data. PeerJ 6:e6227. https://doi.org/10.7717/peerj.6227

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