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
dataset
https://catalogue.ceh.ac.uk/datastore/eidchub/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f
name: Download the data
description: Download a copy of this data
function: download
https://data-package.ceh.ac.uk/sd/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f
doi:
eng
environment
creation
2006-01-01
48.202
49.153
-17.434
-18.989
publication
2017-03-10
notPlanned
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.
publication
2010-12-08
TIFF
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
Betty and Gordon Moore Center for Science, Conservation International
pointOfContact
American Museum of Natural History
author
Betty and Gordon Moore Center for Science, Conservation International
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
herintsitohaina.razakamanarivo@gmail.com
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
mieja.razafindrakoto@gmail.com
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
nantenaina.rabetokotany@gmail.com
author
Laboratoire des RadioIsotopes-Université d'Antananarivo
author
NERC EDS Environmental Information Data Centre
custodian
NERC Environmental Information Data Centre
publisher
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
pointOfContact
2021-06-25T18:45:03