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 2025-11-13T16:20:43 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 dac18@cam.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 gregasner@asu.edu 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 mhnunes1987@gmail.com author Nunes, M. University of Cambridge mhnunes1987@gmail.com pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher University of Cambridge legal@admin.cam.ac.uk owner climate change forest GEMET - Concepts, version 4.1.3 2019-01-28 creation Malaysia GeoNames 2006-01-01 creation LiDAR Top-of-canopy height canopy dynamics topography forest fragmentation El Niño 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 download 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.