Very high resolution derived land cover/use classifications for the Corridor Ankeniheny-Zahamena (CAZ), Madagascar
https://doi.org/10.5285/ce535cef-842e-4875-ad80-26760900cec0
Cite this dataset as:
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
Download/Access
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By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is made available under the terms of the Open Government Licence 
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.
Publication date: 2017-03-10
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
TIFF
Spatial information
Study area
Spatial representation type
Raster
Spatial reference system
WGS 84
Temporal information
Temporal extent
2013-01-01 to 2013-12-31
Provenance & quality
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.
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.
Licensing and constraints
This dataset is made available under the terms of the Open Government Licence
Cite this dataset as:
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
Related
This dataset is included in the following collections
Can Paying for Global Ecosystem Services reduce poverty? (P4GES)
Citations
Zwartendijk, B.W., van Meerveld, H.J., Ghimire, C.P., Ravelona, M., Lahitiana, J., & Bruijnzeel, L.A. (2020). Soil water- and overland flow dynamics in a tropical catchment subject to long-term slash-and-burn agriculture. Journal of Hydrology, 582, 124287 https://doi.org/10.1016/j.jhydrol.2019.124287
Correspondence/contact details
Hewson, J.
Betty and Gordon Moore Center for Science, Conservation International
2011 Crystal Dr., Suite 500
Arlington
22202
UNITED STATES
jhewson@conservation.org
Arlington
22202
UNITED STATES
Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk