Horning, N. et al

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

Publication date: 2017-03-10

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Access and use conditions

This resource is made available under the terms of the Open Government Licence

You must 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

 

Where/When

Study area

Provenance & quality

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.

Correspondence/contact details

Jenny Hewson
Betty and Gordon Moore Center for Science, Conservation International
2011 Crystal Dr., Suite 500
Arlington
22202
United States
jhewson@conservation.org

Authors

Horning, N.
American Museum of Natural History
Hewson, J.
Betty and Gordon Moore Center for Science, Conservation International
Razakamanarivo, H.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Andriamananjara, A.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Hary, A. R.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Ranaivoson, N.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Ramboatiana, N.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Razafindrakoto, M.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Ramifehiarivo, N.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Razafimanantsoa, M. P.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Rabeharisoa, L.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Rasolohery, A.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Rabetokotany, N.
Laboratoire des RadioIsotopes-Université d'Antananarivo
Razafimbelo, T.
Laboratoire des RadioIsotopes-Université d'Antananarivo

Other contacts

Custodian
Environmental Information Data Centre
eidc@ceh.ac.uk
Publisher
NERC Environmental Information Data Centre
eidc@ceh.ac.uk

Spatial

Spatial representation type
Raster
Spatial reference system
WGS 84

Tags

Topic categories
Environment
Keywords
Corridor Ankeniheny Zahamena Madagascar