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Very high resolution derived land cover/use classifications for the Corridor Ankeniheny-Zahamena (CAZ), Madagascar

The products capture current land use/cover for four areas of interest in Corridor Ankeniheny Zahamena (CAZ) generated based on very high resolution imagery (SPOT 6). Field-based training and validation data were used and supervised classifications created using Random Forest classifier. Full details about this dataset can be found at https://doi.org/10.5285/ce535cef-842e-4875-ad80-26760900cec0

Simple

Date (Publication)
2017-03-10
Citation identifier
https://catalogue.ceh.ac.uk/id/ce535cef-842e-4875-ad80-26760900cec0
Citation identifier
doi: / 10.5285/ce535cef-842e-4875-ad80-26760900cec0
Other citation details

Horning, N., Hewson, J. (2017). Very high resolution derived land cover/use classifications for the Corridor Ankeniheny-Zahamena (CAZ), Madagascar. NERC Environmental Information Data Centre 10.5285/ce535cef-842e-4875-ad80-26760900cec0

Point of contact
Organisation name Individual name Electronic mail address Role
Betty and Gordon Moore Center for Science, Conservation International

Hewson, J.

jhewson@conservation.org

Point of contact

American Museum of Natural History

Horning, N.

horning@amnh.org

Author
Betty and Gordon Moore Center for Science, Conservation International

Hewson, J.

jhewson@conservation.org

Author
NERC Environmental Information Data Centre

info@eidc.ac.uk

Publisher
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
Maintenance and update frequency
Not planned
Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is made available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: Horning, N., Hewson, J. (2017). Very high resolution derived land cover/use classifications for the Corridor Ankeniheny-Zahamena (CAZ), Madagascar. NERC Environmental Information Data Centre https://doi.org/10.5285/ce535cef-842e-4875-ad80-26760900cec0

Spatial representation type
Grid
Distance
1.5  urn:ogc:def:uom:EPSG::9001
Language
English
Character set
UTF8
Topic category
  • Environment
  • Planning cadastre
Begin date
2013-01-01
End date
2013-12-31
N
S
E
W
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Unique resource identifier
WGS 84
Distribution format
Name Version

TIFF

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/data/ce535cef-842e-4875-ad80-26760900cec0

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/ce535cef-842e-4875-ad80-26760900cec0.zip

Supporting information

Hierarchy level
Dataset
Other

dataset

Conformance result

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

Date (Publication)
2010-12-08
Statement

The study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access. Based on the above criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. Current land use/cover classifications were generated for each ZOI based on very high resolution imagery from SPOT 6. Field data collected by Work Package (WP) 2 and 4--which are impacts on hydrological benefits of alternative Payments for Ecosystem Services (PES) approaches and impacts on carbon storage/sequestration of alternative PES approaches--were used as training data. Supervised classifications were created using Random Forest classifier.

Metadata

File identifier
ce535cef-842e-4875-ad80-26760900cec0 XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-03-21T09:22:56
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

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Keywords



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