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Field-based training and validation data were used and supervised classifications created using Random Forest classifier.","distributionFormats":[{"name":"TIFF","type":"image/tiff","version":"unknown"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"id":"ce535cef-842e-4875-ad80-26760900cec0","incomingCitationCount":1,"incomingCitations":[{"description":"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","url":"https://doi.org/10.1016/j.jhydrol.2019.124287"}],"infoLinks":[{"url":"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","type":"OTHER"}],"keywordsPlace":[{"value":"Madagascar","uri":"http://sws.geonames.org/1062947"},{"value":"Ankeniheny Zahamena forest corridor","uri":"http://sws.geonames.org/7910440"}],"keywordsTheme":[{"value":"Land cover","uri":"http://onto.nerc.ac.uk/CEHMD/topic/11"},{"value":"Land use","uri":"http://onto.nerc.ac.uk/CEHMD/topic/12"}],"licences":[{"value":"This resource is made available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/ogl/plain"}],"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. \n\nBased 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. \n\nCurrent 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. 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