BGS Hosted Metadata
Very high resolution derived biomass estimates in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar
The products represent biomass estimates for four areas of interest in the Corridor Ankeniheny Zahamena (CAZ), Madagascar, generated using very high resolution imagery and based on field-collected plot information. 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 these 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. The products were generated as part of a project, 'Can Paying 4 Global Ecosystem Services reduce poverty?' (P4GES), funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme Full details about this dataset can be found at https://doi.org/10.5285/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f
Simple
- Date (Publication)
- 2017-03-10
- Citation identifier
- https://catalogue.ceh.ac.uk/id/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f
- Citation identifier
- doi: / 10.5285/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f
- Other citation details
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Horning, N., Hewson, J., Razakamanarivo, H., Andriamananjara, A., Hary, A.R., Ranaivoson, N., Ramboatiana, N., Razafindrakoto, M., Ramifehiarivo, N., Razafimanantsoa, M.P., Rabeharisoa, L., Rasolohery, A., Rabetokotany, N., Razafimbelo, T. (2017). Very high resolution derived biomass estimates in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar. NERC Environmental Information Data Centre 10.5285/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f
- Point of contact
- Maintenance and update frequency
- Not planned
- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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If you reuse this data, you should cite: Horning, N., Hewson, J., Razakamanarivo, H., Andriamananjara, A., Hary, A.R., Ranaivoson, N., Ramboatiana, N., Razafindrakoto, M., Ramifehiarivo, N., Razafimanantsoa, M.P., Rabeharisoa, L., Rasolohery, A., Rabetokotany, N., Razafimbelo, T. (2017). Very high resolution derived biomass estimates in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar. NERC Environmental Information Data Centre https://doi.org/10.5285/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f
- Spatial representation type
- Grid
- Distance
- 2 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
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- Unique resource identifier
- WGS 84
- Distribution format
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Name Version TIFF
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://catalogue.ceh.ac.uk/datastore/eidchub/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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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
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Random forest regression models were used to estimate biomass values for each of the ZOIs. Training data were a number of different biomass plots distributed roughly equal over the four ZOIs, so that most of the variation within the image was captured. These training data are then used to calculate the relationships between segment features and biomass in a random forest regression model. That model is then used to predict biomass estimates for each segment. The output is limited to a single predicted biomass image since per-segment prediction confidence metrics are not available.
Metadata
- File identifier
- 9b516d3e-ac72-4453-a6de-b29d2ba2ef4f XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T13:34:56
- Metadata standard name
- UK GEMINI
- Metadata standard version
-
2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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