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
dataset
https://data-package.ceh.ac.uk/data/ce535cef-842e-4875-ad80-26760900cec0
name: Download the data
description: Download a copy of this data
function: download
https://data-package.ceh.ac.uk/sd/ce535cef-842e-4875-ad80-26760900cec0.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/ce535cef-842e-4875-ad80-26760900cec0
doi:
eng
environment
planningCadastre
48.202
49.152
-17.434
-18.989
2013-01-01
2013-12-31
publication
2017-03-10
notPlanned
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.
publication
2010-12-08
TIFF
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
pointOfContact
American Museum of Natural History
author
author
publisher
custodian
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
name: EIDC website
description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
function: information
pointOfContact
2024-02-27T16:29:01