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Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits

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Title: Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits
Authors: Elsa M. Ordway, Gregory P. Asner, David F. R. P. Burslem, Simon L. Lewis, Reuben Nilus, Roberta E. Martin, Michael J. O’Brien, Oliver L. Phillips, Lan Qie, Nicholas R. Vaughn, Paul R. Moorcroft
Source: Communications Earth & Environment, Vol 3, Iss 1, Pp 1-11 (2022)
Publisher Information: Nature Portfolio, 2022.
Publication Year: 2022
Collection: LCC:Geology
LCC:Environmental sciences
Subject Terms: Geology, QE1-996.5, Environmental sciences, GE1-350
More Details: Functional variations in tropical forests can be determined from remotely sensed forest trait and structural attributes at spatial resolutions relevant to satellite-based observations, according to a coarse resolution analysis of airborne remotely sensed data in Malaysian Borneo.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2662-4435
Relation: https://doaj.org/toc/2662-4435
DOI: 10.1038/s43247-022-00564-w
Access URL: https://doaj.org/article/41afec56b944425f92029a3615676c6a
Accession Number: edsdoj.41afec56b944425f92029a3615676c6a
Database: Directory of Open Access Journals
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  Data: Communications Earth & Environment, Vol 3, Iss 1, Pp 1-11 (2022)
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  Data: Functional variations in tropical forests can be determined from remotely sensed forest trait and structural attributes at spatial resolutions relevant to satellite-based observations, according to a coarse resolution analysis of airborne remotely sensed data in Malaysian Borneo.
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