Identification

Title

High Carbon Stock stratification of the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF]

Abstract

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

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/81cad1ef-b5cc-4592-a71f-204a5d04b700

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/81cad1ef-b5cc-4592-a71f-204a5d04b700.zip

description: Supporting information available to assist in re-use of this dataset

function: information

https://eidc.ceh.ac.uk/images/browsegraphics/safe.png

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/81cad1ef-b5cc-4592-a71f-204a5d04b700

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

imageryBaseMapsEarthCover

geoscientificInformation

Keywords

Geographic location

West bounding longitude

117.42

East bounding longitude

117.719

North bounding latitude

4.774

South bounding latitude

4.583

Temporal reference

Temporal extent

Begin position

2015-03-01

End position

2015-09-01

Dataset reference date

date type

publication

effective date

2017-09-18

date type

creation

effective date

2015-09-01

Frequency of update

notPlanned

Quality and validity

Lineage

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).

Conformity

Conformity report

specification

title

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Shapefile

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

email address

njd21@kent.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

email address

njd21@kent.ac.uk

web address

https://orcid.org/0000-0003-1299-2126

description: 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.

function: information