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Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images

A new reconstruction of changes in Taiwan’s land cover and estimated uncertainty between 1904 and 2015 is presented. The reconstruction is made by integrating geographical information from historical maps and SPOT satellite images, to obtain spatially explicit land cover maps with a resolution of 50...

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Autores principales: Chen, Yi-Ying, Huang, Wei, Wang, Wei-Hong, Juang, Jehn-Yih, Hong, Jing-Shan, Kato, Tomomichi, Luyssaert, Sebastiaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403323/
https://www.ncbi.nlm.nih.gov/pubmed/30842476
http://dx.doi.org/10.1038/s41598-019-40063-1
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author Chen, Yi-Ying
Huang, Wei
Wang, Wei-Hong
Juang, Jehn-Yih
Hong, Jing-Shan
Kato, Tomomichi
Luyssaert, Sebastiaan
author_facet Chen, Yi-Ying
Huang, Wei
Wang, Wei-Hong
Juang, Jehn-Yih
Hong, Jing-Shan
Kato, Tomomichi
Luyssaert, Sebastiaan
author_sort Chen, Yi-Ying
collection PubMed
description A new reconstruction of changes in Taiwan’s land cover and estimated uncertainty between 1904 and 2015 is presented. The reconstruction is made by integrating geographical information from historical maps and SPOT satellite images, to obtain spatially explicit land cover maps with a resolution of 500 × 500 m and distinguishes six land cover classes: forests, grasslands, agricultural land, inland water, built-up land, and bare soil. The temporal resolution is unbalanced being derived from four historical maps describing the land cover between 1904 and 1994 and five mosaic satellite images describing the land cover between 1995 and 2015. The uncertainty of the historical maps is quantified to show the aggregation error whereas the uncertainty of the satellite images is quantified as classification error. Since 1904, Taiwan, as a developing country, has gone through a not unusual sequence of population growth and subsequent urbanization, a decoupling of the demand for agricultural land from population growth, and a transition from shrinking in forest area to forest expansion. This new land cover reconstruction is expected to contribute to future revisions of global land cover reconstructions as well as to studies of (gross) land cover changes, the carbon budget, regional climate, urban heat islands, and air and water pollution at the national and sub-national level.
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spelling pubmed-64033232019-03-08 Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images Chen, Yi-Ying Huang, Wei Wang, Wei-Hong Juang, Jehn-Yih Hong, Jing-Shan Kato, Tomomichi Luyssaert, Sebastiaan Sci Rep Article A new reconstruction of changes in Taiwan’s land cover and estimated uncertainty between 1904 and 2015 is presented. The reconstruction is made by integrating geographical information from historical maps and SPOT satellite images, to obtain spatially explicit land cover maps with a resolution of 500 × 500 m and distinguishes six land cover classes: forests, grasslands, agricultural land, inland water, built-up land, and bare soil. The temporal resolution is unbalanced being derived from four historical maps describing the land cover between 1904 and 1994 and five mosaic satellite images describing the land cover between 1995 and 2015. The uncertainty of the historical maps is quantified to show the aggregation error whereas the uncertainty of the satellite images is quantified as classification error. Since 1904, Taiwan, as a developing country, has gone through a not unusual sequence of population growth and subsequent urbanization, a decoupling of the demand for agricultural land from population growth, and a transition from shrinking in forest area to forest expansion. This new land cover reconstruction is expected to contribute to future revisions of global land cover reconstructions as well as to studies of (gross) land cover changes, the carbon budget, regional climate, urban heat islands, and air and water pollution at the national and sub-national level. Nature Publishing Group UK 2019-03-06 /pmc/articles/PMC6403323/ /pubmed/30842476 http://dx.doi.org/10.1038/s41598-019-40063-1 Text en © The Author(s) 2019 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/.
spellingShingle Article
Chen, Yi-Ying
Huang, Wei
Wang, Wei-Hong
Juang, Jehn-Yih
Hong, Jing-Shan
Kato, Tomomichi
Luyssaert, Sebastiaan
Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images
title Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images
title_full Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images
title_fullStr Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images
title_full_unstemmed Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images
title_short Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images
title_sort reconstructing taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403323/
https://www.ncbi.nlm.nih.gov/pubmed/30842476
http://dx.doi.org/10.1038/s41598-019-40063-1
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