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Gap Shape Classification using Landscape Indices and Multivariate Statistics

This study proposed a novel methodology to classify the shape of gaps using landscape indices and multivariate statistics. Patch-level indices were used to collect the qualified shape and spatial configuration characteristics for canopy gaps in the Lienhuachih Experimental Forest in Taiwan in 1998 a...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Sci Rep
Päätekijät: Wu, Chih-Da, Cheng, Chi-Chuan, Chang, Che-Chang, Lin, Chinsu, Chang, Kun-Cheng, Chuang, Yung-Chung
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group 2016
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5128799/
https://ncbi.nlm.nih.gov/pubmed/27901127
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep38217
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