EIDC
Hastie, A. et al

Peatland distribution maps for lowland Peruvian Amazonia, 2022

https://doi.org/10.5285/db3de2d7-b094-4d15-a40b-edb618ede889 Cite this dataset
Spatial datasets of predicted land cover, peatland extent, peat thickness and peatland carbon storage for the Lowland Peruvian Amazon.
Publication date: 2024-01-11

Format

TIFF

Spatial information

Study area
Spatial representation type
Raster
Spatial reference system
WGS 84

Temporal information

Temporal extent
2022-01-01    to    2022-12-31

Provenance & quality

A total of 1,128 ground reference points of vegetation type, peat presence/absence and (where applicable) peat thickness from the lowland Peruvian Amazon (LPA) were used to train (50% of the data) and validate (the remaining 50% of the data) predictive models of land cover, peatland extent, peat thickness and (in conjunction with laboratory measurements on peat samples) peat carbon storage. Input data to the model included a stack of seven remote-sensing layers, including two Sentinel-2 indices, three ALOS PALSAR-2 bands, SRTM digital elevation data, and a previous land-cover map.

Correspondence/contact details

Hastie, A.
Charles University
 hastiea@natur.cuni.cz

Authors

Hastie, A.
Charles University
ORCID iD icon 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
Baker, T.R.
University of Leeds
ORCID iD icon https://orcid.org/0000-0002-3251-1679
Cole, L.E.S.
University of St Andrews
Cordova Oroche, C.J.
Instituto de Investigaciones de la Amazonía Peruana
ORCID iD icon https://orcid.org/0000-0002-0692-3186
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
Lawson, I.T.
University of St Andrews
ORCID iD icon https://orcid.org/0000-0002-3547-2425

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

Additional metadata

Topic categories
environment
Keywords
carbon , mapping , peat , Peru , Random Forest , Regression , remote sensing
Last updated
03 April 2024 16:05

Get the data

By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

This dataset is available under the terms of the Open Government Licence

Download the data Supporting documentation

CITE 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). Peatland distribution maps for lowland Peruvian Amazonia, 2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/db3de2d7-b094-4d15-a40b-edb618ede889