coveR: an R package for processing digital cover photography images to retrieve forest canopy attributes
Author:
Funder
Regione Lombardia
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Ecology,Physiology,Forestry
Link
https://link.springer.com/content/pdf/10.1007/s00468-022-02338-5.pdf
Reference45 articles.
1. Alivernini A, Fares S, Ferrara C, Chianucci F (2018) An objective image analysis method for estimation of canopy attributes from digital cover photography. Trees 32:713–723. https://doi.org/10.1007/s00468-018-1666-3
2. Anderson M (1964) Studies of the woodland light climate: I. The photographic computation of light conditions. J Ecol 52:27–41. https://doi.org/10.2307/2257780
3. Breda NJJ (2003) Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. J Exp Bot 54:2403–2417. https://doi.org/10.1093/jxb/erg263
4. Chen JM, Black T (1992) Defining leaf area index for non-flat leaves. Plant Cell Environ 15:421–429
5. Chianucci F (2016) A note on estimating canopy cover from digital cover and hemispherical photography. Silva Fenn. https://doi.org/10.14214/sf.1518
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