534838c8-0e1f-4a04-a837-2e19a4e93797
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
https://eidc.ac.uk/
EIDC website
The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
information
pointOfContact
2024-03-05T08:52:20
UK GEMINI
2.3
WGS 84 / Pseudo-Mercator
Canopy height measured by LiDAR during the 2015-16 El Niño Southern Oscillation (ENSO) event in Malaysian Borneo
2020-11-20
publication
https://catalogue.ceh.ac.uk/id/534838c8-0e1f-4a04-a837-2e19a4e93797
10.5285/534838c8-0e1f-4a04-a837-2e19a4e93797
doi:
Coomes, D.A., Asner, G.P., Nunes, M.H. (2020). Canopy height measured by LiDAR during the 2015-16 El Niño Southern Oscillation (ENSO) event in Malaysian Borneo. NERC Environmental Information Data Centre 10.5285/534838c8-0e1f-4a04-a837-2e19a4e93797
The dataset contains top-of-canopy height before and after the 2015-15 El Niño Southern Oscillation (ENSO) event across a human-modified tropical landscape in Malaysian Borneo. The derived changes in top-of-canopy height from 36,655 repeated measurements were investigated. Data were obtained from airborne LiDAR in November 2014 and April 2016. Topographic Position Index and distance from oil palm plantations are also included to investigate the effects of topography and fragmentation on the canopy height change during the ENSO event. Each observation (pixel) contains the coordinates to assess the spatial effects on canopy changes. Full details about this dataset can be found at https://doi.org/10.5285/534838c8-0e1f-4a04-a837-2e19a4e93797
Coomes, D.A.
University of Cambridge
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-8261-2582
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Asner, G.P.
Arizona State University
enquiries@ceh.ac.uk
https://orcid.org/0000-0001-7893-6421
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Nunes, M.H.
University of Cambridge
enquiries@ceh.ac.uk
author
Dr Matheus Nunes
University of Cambridge
enquiries@ceh.ac.uk
pointOfContact
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
NERC Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
University of Cambridge
enquiries@ceh.ac.uk
owner
otherRestrictions
no limitations
otherRestrictions
This resource is available under the terms of the Open Government Licence
otherRestrictions
If you reuse this data, you should cite: Coomes, D.A., Asner, G.P., Nunes, M.H. (2020). Canopy height measured by LiDAR during the 2015-16 El Niño Southern Oscillation (ENSO) event in Malaysian Borneo. NERC Environmental Information Data Centre https://doi.org/10.5285/534838c8-0e1f-4a04-a837-2e19a4e93797
textTable
100
English
utf8
biota
environment
2014-11-01
2016-04-30
116
117
4.136
4.766
Comma-separated values (CSV)
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://data-package.ceh.ac.uk/data/534838c8-0e1f-4a04-a837-2e19a4e93797
Download the data
Download a copy of this data
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https://data-package.ceh.ac.uk/sd/534838c8-0e1f-4a04-a837-2e19a4e93797.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
dataset
dataset
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
All data were generated by the authors. LiDAR data were generated and checked to ensure precision from repeated canopy height measurements. We also ensured that differences in LiDAR sensors did not affect the canopy height change observations and, if necessary, excluded from analysis. Distance of measurements from oil palm plantations were determined using 2 m resolution satellite images. All data were checked to ensure reported values were within the natural ranges of forests canopy height change. All calculations were checked for errors before data was accepted.