Model code of peatland distribution and predicted peat thickness in lowland Amazonian Peru
https://doi.org/10.5285/e337de58-df5e-4412-8aef-28875870f965
Cite this model code as:
Hastie, A.; Honorio Coronado, E.H.; Reyna Huaymacari, J.; Mitchard, E.T.; Åkesson, C.; Baker, T.R.; Cole, L.E.S.; Cordova Oroche, C.J.; Dargie, G.C.; Dávila, N.; De Grandi, E.C.; del Aguila-Pasquel, J.; Del Castillo Torres, D.; De la Cruz Paiva, R.; Draper, F.C.; Flores, G.; Grandez Ríos, J.; Hergoualc’h, K.; Householder, J.E.; Janovec, J.P.; Lähteenoja, O.; Reyna, D.; Rodríguez-Veiga, P.; Roucoux, K.H.; Tobler, M.; Wheeler, C.E.; Williams, M.; Lawson, I.T. (2024). Model code of peatland distribution and predicted peat thickness in lowland Amazonian Peru. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/e337de58-df5e-4412-8aef-28875870f965
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PLEASE NOTE:
By accessing or using this model code, you agree to the terms of the relevant licence agreement(s). You will ensure that this model code is cited in any publication that describes research in which the data have been used.
Publication of this model code by the EIDC does not signify any endorsement or approval. By accessing and using the resource, you acknowledge that it is entirely at your own risk and you are solely responsible for any loss or liability that may arise
This model code is available under the terms of the Open Government Licence 
Two scripts for classifying remotely sensed data used to produce maps of peatland distribution and predicted peat thickness, using random forest classification and regression. Written in JavaScript for use with Google Earth Engine.
These are versions of the scripts used in Hastie et al. (2022), https://doi.org/10.1038/s41561-022-00923-4. Users should also cite Rodríguez-Veiga et al. (2020), https://doi.org/10.3390/rs12152380 .
These are versions of the scripts used in Hastie et al. (2022), https://doi.org/10.1038/s41561-022-00923-4. Users should also cite Rodríguez-Veiga et al. (2020), https://doi.org/10.3390/rs12152380 .
Publication date: 2024-01-11
View numbers valid from 11 January 2024 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Javascript
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Provenance & quality
The scripts were as part of the NERC-funded project “Carbon Storage in Amazonian Peatlands: Distribution and Dynamics” (grant ref. NE/R000751/1).
To run the model code the user needs to first have a Google Earth Engine account. They should also familiarise themselves with the basics of running GEE code editor. GEE uses JavaScript.
To run the model code the user needs to first have a Google Earth Engine account. They should also familiarise themselves with the basics of running GEE code editor. GEE uses JavaScript.
Licensing and constraints
This model code is available under the terms of the Open Government Licence
Cite this model code as:
Hastie, A.; Honorio Coronado, E.H.; Reyna Huaymacari, J.; Mitchard, E.T.; Åkesson, C.; Baker, T.R.; Cole, L.E.S.; Cordova Oroche, C.J.; Dargie, G.C.; Dávila, N.; De Grandi, E.C.; del Aguila-Pasquel, J.; Del Castillo Torres, D.; De la Cruz Paiva, R.; Draper, F.C.; Flores, G.; Grandez Ríos, J.; Hergoualc’h, K.; Householder, J.E.; Janovec, J.P.; Lähteenoja, O.; Reyna, D.; Rodríguez-Veiga, P.; Roucoux, K.H.; Tobler, M.; Wheeler, C.E.; Williams, M.; Lawson, I.T. (2024). Model code of peatland distribution and predicted peat thickness in lowland Amazonian Peru. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/e337de58-df5e-4412-8aef-28875870f965
Related
Supplemental information
Correspondence/contact details
Authors
https://orcid.org/0000-0003-2098-3510
Honorio Coronado, E.H.
University of St Andrews
Reyna Huaymacari, J.
Instituto de Investigaciones de la Amazonía Peruana
Mitchard, E.T.
University of Edinburgh
Åkesson, C.
University of St Andrews
Cole, L.E.S.
University of St Andrews
Cordova Oroche, C.J.
Instituto de Investigaciones de la Amazonía Peruana
Dargie, G.C.
University of Leeds
Dávila, N.
Instituto de Investigaciones de la Amazonía Peruana
De Grandi, E.C.
University of Edinburgh
del Aguila-Pasquel, J.
Instituto de Investigaciones de la Amazonía Peruana
Del Castillo Torres, D.
Instituto de Investigaciones de la Amazonía Peruana
De la Cruz Paiva, R.
Servicio Nacional Forestal y de Fauna Silvestre
Draper, F.C.
University of Liverpool
Flores, G.
Instituto de Investigaciones de la Amazonía Peruana
Grandez Ríos, J.
Instituto de Investigaciones de la Amazonía Peruana
Hergoualc’h, K.
Center for International Forestry Research (CIFOR)
Householder, J.E.
Karlsruhe Institute for Technology
Janovec, J.P.
Sam Houston State University Natural History Museum
Lähteenoja, O.
Reyna, D.
Instituto de Investigaciones de la Amazonía Peruana
Rodríguez-Veiga, P.
University of Leicester
Roucoux, K.H.
University of St Andrews
Tobler, M.
San Diego Zoo
Wheeler, C.E.
University of Edinburgh
Williams, M.
University of Edinburgh
Other contacts
Rights holders
University of St Andrews , University of Edinburgh
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk