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
INSPIRE
Identification
- File identifier
- ce535cef-842e-4875-ad80-26760900cec0 XML
- Resource type
- dataset
Online resource
Resource identifier
- Metadata Language
- English (en)
- Spatial representation type
- grid
Encoding
- Format
- TIFF
Projection
- code
- WGS 84
Classification of data and services
- Topic category
-
- Environment
- Planning cadastre
Classification of data and services
Coupled resource
Coupled resource
Classification of data and services
Coupled resource
Coupled resource
Geographic coverage
N
S
E
W
Temporal reference
Temporal extent
Temporal extent
- Dataset Reference Date ()
- 2017-03-10
Quality and validity
- Lineage
- 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.
- Distance
- 1.5 urn:ogc:def:uom:EPSG::9001
Conformity
Conformity
Conformity
Conformity
Conformity
Conformity
Restrictions on access and use
- Access constraints
- no limitations
- Access 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
Responsible organization (s)
Contact for the resource
- Organisation name
- Betty and Gordon Moore Center for Science, Conservation International
- enquiries@ceh.ac.uk
- Organisation name
- American Museum of Natural History
- enquiries@ceh.ac.uk
- Organisation name
- Betty and Gordon Moore Center for Science, Conservation International
- enquiries@ceh.ac.uk
- Organisation name
- NERC Environmental Information Data Centre
- enquiries@ceh.ac.uk
- Organisation name
- NERC EDS Environmental Information Data Centre
- enquiries@ceh.ac.uk
Responsible organization (s)
Contact for the resource
- Organisation name
- Betty and Gordon Moore Center for Science, Conservation International
- enquiries@ceh.ac.uk
- Organisation name
- American Museum of Natural History
- enquiries@ceh.ac.uk
- Organisation name
- Betty and Gordon Moore Center for Science, Conservation International
- enquiries@ceh.ac.uk
- Organisation name
- NERC Environmental Information Data Centre
- enquiries@ceh.ac.uk
- Organisation name
- NERC EDS Environmental Information Data Centre
- enquiries@ceh.ac.uk
Metadata information
Contact for the metadata
- Organisation name
- NERC EDS Environmental Information Data Centre
- info@eidc.ac.uk
- Metadata Date
- 2024-02-27T16:29:01
- Metadata Language
- English (en)
- Character set
- utf8