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A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand
In recent decades, global oil palm production has shown an abrupt increase, with almost 90% produced in Southeast Asia alone. To understand trends in oil palm plantation expansion and for landscape-level planning, accurate maps are needed. Although different oil palm maps have been produced using re...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010082/ https://www.ncbi.nlm.nih.gov/pubmed/33785753 http://dx.doi.org/10.1038/s41597-021-00867-1 |
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author | Danylo, Olga Pirker, Johannes Lemoine, Guido Ceccherini, Guido See, Linda McCallum, Ian Hadi Kraxner, Florian Achard, Frédéric Fritz, Steffen |
author_facet | Danylo, Olga Pirker, Johannes Lemoine, Guido Ceccherini, Guido See, Linda McCallum, Ian Hadi Kraxner, Florian Achard, Frédéric Fritz, Steffen |
author_sort | Danylo, Olga |
collection | PubMed |
description | In recent decades, global oil palm production has shown an abrupt increase, with almost 90% produced in Southeast Asia alone. To understand trends in oil palm plantation expansion and for landscape-level planning, accurate maps are needed. Although different oil palm maps have been produced using remote sensing in the past, here we use Sentinel 1 imagery to generate an oil palm plantation map for Indonesia, Malaysia and Thailand for the year 2017. In addition to location, the age of the oil palm plantation is critical for calculating yields. Here we have used a Landsat time series approach to determine the year in which the oil palm plantations are first detected, at which point they are 2 to 3 years of age. From this, the approximate age of the oil palm plantation in 2017 can be derived. |
format | Online Article Text |
id | pubmed-8010082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80100822021-04-16 A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand Danylo, Olga Pirker, Johannes Lemoine, Guido Ceccherini, Guido See, Linda McCallum, Ian Hadi Kraxner, Florian Achard, Frédéric Fritz, Steffen Sci Data Data Descriptor In recent decades, global oil palm production has shown an abrupt increase, with almost 90% produced in Southeast Asia alone. To understand trends in oil palm plantation expansion and for landscape-level planning, accurate maps are needed. Although different oil palm maps have been produced using remote sensing in the past, here we use Sentinel 1 imagery to generate an oil palm plantation map for Indonesia, Malaysia and Thailand for the year 2017. In addition to location, the age of the oil palm plantation is critical for calculating yields. Here we have used a Landsat time series approach to determine the year in which the oil palm plantations are first detected, at which point they are 2 to 3 years of age. From this, the approximate age of the oil palm plantation in 2017 can be derived. Nature Publishing Group UK 2021-03-30 /pmc/articles/PMC8010082/ /pubmed/33785753 http://dx.doi.org/10.1038/s41597-021-00867-1 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Danylo, Olga Pirker, Johannes Lemoine, Guido Ceccherini, Guido See, Linda McCallum, Ian Hadi Kraxner, Florian Achard, Frédéric Fritz, Steffen A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand |
title | A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand |
title_full | A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand |
title_fullStr | A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand |
title_full_unstemmed | A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand |
title_short | A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand |
title_sort | map of the extent and year of detection of oil palm plantations in indonesia, malaysia and thailand |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010082/ https://www.ncbi.nlm.nih.gov/pubmed/33785753 http://dx.doi.org/10.1038/s41597-021-00867-1 |
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