Your browser doesn't support javascript.
loading
Predicting species diversity of benthic communities within turbid nearshore using full-waveform bathymetric LiDAR and machine learners.
Collin, Antoine; Archambault, Phillippe; Long, Bernard.
Affiliation
  • Collin A; Department of Geosciences, INRS-ETE, University of Québec, Québec, Canada. antoinecollin1@gmail.com
PLoS One ; 6(6): e21265, 2011.
Article in En | MEDLINE | ID: mdl-21701576
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Invertebrates / Marine Biology Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Country/Region as subject: America do norte Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2011 Document type: Article Affiliation country: Canada Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Invertebrates / Marine Biology Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Country/Region as subject: America do norte Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2011 Document type: Article Affiliation country: Canada Country of publication: United States