81cad1ef-b5cc-4592-a71f-204a5d04b700 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 2026-03-02T09:47:19 UK GEMINI 2.3 WGS 84 High Carbon Stock stratification of the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF] 2017-09-18 publication 2015-09-01 creation https://catalogue.ceh.ac.uk/id/81cad1ef-b5cc-4592-a71f-204a5d04b700 10.5285/81cad1ef-b5cc-4592-a71f-204a5d04b700 doi: Deere, N.J., Guillera-Arroita, G., Baking, E.L., Bernard, H., Pfeifer, M., Reynolds, G., Wearn, O.R., Davies, Z.G., Struebig, M.J. (2017). High Carbon Stock stratification of the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF]. NERC Environmental Information Data Centre 10.5285/81cad1ef-b5cc-4592-a71f-204a5d04b700 This data set provides a spatial stratification of forest cover into discrete vegetation classes according to the High Carbon Stock (HCS) Approach. The data set covers the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo. Data were collected in 2015 during a project which was included in the NERC Human-modified tropical forest (HMTF) programme. Full details about this dataset can be found at https://doi.org/10.5285/81cad1ef-b5cc-4592-a71f-204a5d04b700 Deere, N. University of Kent njd21@kent.ac.uk pointOfContact Deere, N.J. University of Kent njd21@kent.ac.uk https://orcid.org/0000-0003-1299-2126 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 Guillera-Arroita, G. University of Melbourne gurutzeta.guillera@unimelb.edu.au https://orcid.org/0000-0002-8387-5739 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 Baking, E.L. Universiti Malaysia Sabah lonnbw@gmail.com author Bernard, H. Universiti Malaysia Sabah hbtiandun@gmail.com author Pfeifer, M. Newcastle University Marion.Pfeifer@newcastle.ac.uk https://orcid.org/0000-0002-6775-3141 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 Reynolds, G. South East Asia Rainforest Research Partnership (SEARRP) glen.searrp@icloud.com author Wearn, O.R. Institute of Zoology, Zoological Society of London oliver.wearn@gmail.com https://orcid.org/0000-0001-8258-3534 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 Davies, Z.G. University of Kent z.g.davies@kent.ac.uk https://orcid.org/0000-0003-0767-1467 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 Struebig, M.J. University of Kent m.j.struebig@kent.ac.uk https://orcid.org/0000-0003-2058-8502 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 NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher University of Kent EMAIL NOT PROVIDED owner notPlanned tropical forest mammal GEMET - Concepts, version 4.1.3 2019-01-28 creation Human-modified tropical forest programme (HMTF) Stability of Altered Forest Ecosystems (SAFE) fragmentation REDD+ High Carbon Stock (HCS) Approach oil palm human-modified landscape otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © University of Kent 2017 otherRestrictions If you reuse this data, you should cite: Deere, N.J., Guillera-Arroita, G., Baking, E.L., Bernard, H., Pfeifer, M., Reynolds, G., Wearn, O.R., Davies, Z.G., Struebig, M.J. (2017). High Carbon Stock stratification of the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF]. NERC Environmental Information Data Centre https://doi.org/10.5285/81cad1ef-b5cc-4592-a71f-204a5d04b700 vector English utf8 imageryBaseMapsEarthCover geoscientificInformation 2015-03-01 2015-09-01 117.42 117.719 4.583 4.774 Shapefile NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/81cad1ef-b5cc-4592-a71f-204a5d04b700 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/81cad1ef-b5cc-4592-a71f-204a5d04b700.zip Supporting information Supporting information available to assist in re-use of this dataset information https://eidc.ac.uk/sites/default/files/browsegraphics/safe.png SAFE 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 Landsat 8 and SPOT5 satellite imagery (15 m and 2.5 m resolution respectively; temporal range: 2012-2014) were used to stratify forest habitat using phase one High Carbon Stock (HCS) assessment protocols. Multiple data sources were chosen to minimise the difficulties associated with cloud cover and haze. A supervised classification of satellite images was undertaken, supplemented with visual interpretation techniques to correct for the potentially confounding effects of topographic shadow. This resulted in four discrete HCS classes, in descending order of carbon value: Dense Forest, Young Regenerating Forest, Scrub and Open Land. These classes were calibrated using above-ground carbon values derived from forest inventory data collected as part of the core SAFE monitoring programme (N=139).