Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits
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.
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2022-10-01
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Series: | Communications Earth & Environment |
Online Access: | https://doi.org/10.1038/s43247-022-00564-w |
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author | 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 |
author_facet | 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 |
author_sort | Elsa M. Ordway |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-11T19:11:37Z |
format | Article |
id | doaj.art-41afec56b944425f92029a3615676c6a |
institution | Directory Open Access Journal |
issn | 2662-4435 |
language | English |
last_indexed | 2024-04-11T19:11:37Z |
publishDate | 2022-10-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Communications Earth & Environment |
spelling | doaj.art-41afec56b944425f92029a3615676c6a2022-12-22T04:07:36ZengNature PortfolioCommunications Earth & Environment2662-44352022-10-013111110.1038/s43247-022-00564-wMapping tropical forest functional variation at satellite remote sensing resolutions depends on key traitsElsa M. Ordway0Gregory P. Asner1David F. R. P. Burslem2Simon L. Lewis3Reuben Nilus4Roberta E. Martin5Michael J. O’Brien6Oliver L. Phillips7Lan Qie8Nicholas R. Vaughn9Paul R. Moorcroft10Department of Organismic and Evolutionary Biology, Harvard UniversityCenter for Global Discovery and Conservation Science, Arizona State UniversitySchool of Biological Sciences, University of AberdeenSchool of Geography, University of LeedsSabah Forestry Department, Forest Research CentreCenter for Global Discovery and Conservation Science, Arizona State UniversityÁrea de Biodiversidad y Conservación, Universidad Rey Juan Carlos, c/ Tulipán s/n.School of Geography, University of LeedsSchool of Life and Environmental Sciences, University of LincolnCenter for Global Discovery and Conservation Science, Arizona State UniversityDepartment of Organismic and Evolutionary Biology, Harvard UniversityFunctional 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.https://doi.org/10.1038/s43247-022-00564-w |
spellingShingle | 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 Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits Communications Earth & Environment |
title | Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits |
title_full | Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits |
title_fullStr | Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits |
title_full_unstemmed | Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits |
title_short | Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits |
title_sort | mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits |
url | https://doi.org/10.1038/s43247-022-00564-w |
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