Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013

Abstract Accurate and timely information describing urban wetland resources and their changes over time, especially in rapidly urbanizing areas, is becoming more important. We applied an object-based image analysis and nearest neighbour classifier to map and monitor changes in land use/cover using m...

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Autores principales:	Tangao Hu, Jiahong Liu, Gang Zheng, Yao Li, Bin Xie
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/626772524fce4c64b93a7359497522a0
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spelling	oai:doaj.org-article:626772524fce4c64b93a7359497522a02021-12-02T11:40:53ZQuantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 201310.1038/s41598-018-25823-92045-2322https://doaj.org/article/626772524fce4c64b93a7359497522a02018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25823-9https://doaj.org/toc/2045-2322Abstract Accurate and timely information describing urban wetland resources and their changes over time, especially in rapidly urbanizing areas, is becoming more important. We applied an object-based image analysis and nearest neighbour classifier to map and monitor changes in land use/cover using multi-temporal high spatial resolution satellite imagery in an urban wetland area (Hangzhou Xixi Wetland) from 2000, 2005, 2007, 2009 and 2013. The overall eight-class classification accuracies averaged 84.47% for the five years. The maps showed that between 2000 and 2013 the amount of non-wetland (urban) area increased by approximately 100%. Herbaceous (32.22%), forest (29.57%) and pond (23.85%) are the main land-cover types that changed to non-wetland, followed by cropland (6.97%), marsh (4.04%) and river (3.35%). In addition, the maps of change patterns showed that urban wetland loss is mainly distributed west and southeast of the study area due to real estate development, and the greatest loss of urban wetlands occurred from 2007 to 2013. The results demonstrate the advantages of using multi-temporal high spatial resolution satellite imagery to provide an accurate, economical means to map and analyse changes in land use/cover over time and the ability to use the results as inputs to urban wetland management and policy decisions.Tangao HuJiahong LiuGang ZhengYao LiBin XieNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tangao Hu Jiahong Liu Gang Zheng Yao Li Bin Xie Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013
description	Abstract Accurate and timely information describing urban wetland resources and their changes over time, especially in rapidly urbanizing areas, is becoming more important. We applied an object-based image analysis and nearest neighbour classifier to map and monitor changes in land use/cover using multi-temporal high spatial resolution satellite imagery in an urban wetland area (Hangzhou Xixi Wetland) from 2000, 2005, 2007, 2009 and 2013. The overall eight-class classification accuracies averaged 84.47% for the five years. The maps showed that between 2000 and 2013 the amount of non-wetland (urban) area increased by approximately 100%. Herbaceous (32.22%), forest (29.57%) and pond (23.85%) are the main land-cover types that changed to non-wetland, followed by cropland (6.97%), marsh (4.04%) and river (3.35%). In addition, the maps of change patterns showed that urban wetland loss is mainly distributed west and southeast of the study area due to real estate development, and the greatest loss of urban wetlands occurred from 2007 to 2013. The results demonstrate the advantages of using multi-temporal high spatial resolution satellite imagery to provide an accurate, economical means to map and analyse changes in land use/cover over time and the ability to use the results as inputs to urban wetland management and policy decisions.
format	article
author	Tangao Hu Jiahong Liu Gang Zheng Yao Li Bin Xie
author_facet	Tangao Hu Jiahong Liu Gang Zheng Yao Li Bin Xie
author_sort	Tangao Hu
title	Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013
title_short	Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013
title_full	Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013
title_fullStr	Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013
title_full_unstemmed	Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013
title_sort	quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/626772524fce4c64b93a7359497522a0
work_keys_str_mv	AT tangaohu quantitativeassessmentofurbanwetlanddynamicsusinghighspatialresolutionsatelliteimagerybetween2000and2013 AT jiahongliu quantitativeassessmentofurbanwetlanddynamicsusinghighspatialresolutionsatelliteimagerybetween2000and2013 AT gangzheng quantitativeassessmentofurbanwetlanddynamicsusinghighspatialresolutionsatelliteimagerybetween2000and2013 AT yaoli quantitativeassessmentofurbanwetlanddynamicsusinghighspatialresolutionsatelliteimagerybetween2000and2013 AT binxie quantitativeassessmentofurbanwetlanddynamicsusinghighspatialresolutionsatelliteimagerybetween2000and2013
_version_	1718395518746361856

Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013

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