A customized framework for regional classification of conifers using automated feature extraction.

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Bibliographic Details
Title: A customized framework for regional classification of conifers using automated feature extraction.
Authors: Roth CL; U.S. Geological Survey, Western Ecological Research Center, Dixon, CA, United States., Coates PS; U.S. Geological Survey, Western Ecological Research Center, Dixon, CA, United States., Gustafson KB; U.S. Geological Survey, Western Ecological Research Center, Dixon, CA, United States., Chenaille MP; U.S. Geological Survey, Western Ecological Research Center, Dixon, CA, United States., Ricca MA; U.S. Geological Survey, Western Ecological Research Center, Dixon, CA, United States., Sanchez-Chopitea E; U.S. Geological Survey, Western Ecological Research Center, Dixon, CA, United States., Casazza ML; U.S. Geological Survey, Western Ecological Research Center, Dixon, CA, United States.
Source: MethodsX [MethodsX] 2021 May 10; Vol. 8, pp. 101379. Date of Electronic Publication: 2021 May 10 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101639829 Publication Model: eCollection Cited Medium: Print ISSN: 2215-0161 (Print) Linking ISSN: 22150161 NLM ISO Abbreviation: MethodsX Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2215-0161
DOI:10.1016/j.mex.2021.101379