Analysis of spatial-temporal evolution of landscape patterns in ancient large city-sites based on multi-temporal Landsat imagery: a case study of the Zhouyuan site region in China

This study takes the Zhouyuan site region, which is the most representative Western Zhou Dynasty (1046 BC-771BC) large city-site in China, as an example. Based on the interpretation results of satellite remote sensing images from 1973 to 2021, the paper systematically analyzed the evolution of lands...

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Main Authors: Jian Chen, Yanlong Zhang, Xifan Liu, Xihui Sun
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:European Journal of Remote Sensing
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/22797254.2022.2114382
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author Jian Chen
Yanlong Zhang
Xifan Liu
Xihui Sun
author_facet Jian Chen
Yanlong Zhang
Xifan Liu
Xihui Sun
author_sort Jian Chen
collection DOAJ
description This study takes the Zhouyuan site region, which is the most representative Western Zhou Dynasty (1046 BC-771BC) large city-site in China, as an example. Based on the interpretation results of satellite remote sensing images from 1973 to 2021, the paper systematically analyzed the evolution of landscape patterns in the Zhouyuan site region spanning for about 50 years using 4 methods, including land use classification, land use transfer matrix, landscape pattern distribution gravity center model and landscape pattern index. Additionally, the results show that nowadays Zhouyuan site is still in a period of accelerated invasion and destruction by natural and human factors, which indicates that the protection of the Zhouyuan site has been inadequate or even unsuccessful for a long time. For the purpose of making more accurate and better protection of the Zhouyuan site, four challenges and six protection recommendations have been put forward. Based on remote sensing and geographic information system (GIS), this paper contributed a method combining 4 models to analyze the spatial-temporal evolution characteristics of landscape pattern of ancient large city-sites, in order to provide more basis for the formulation of cultural relic protection strategies.
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issn 2279-7254
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publishDate 2022-12-01
publisher Taylor & Francis Group
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series European Journal of Remote Sensing
spelling doaj-art-13fcf8c5d7c04e4fa9819f80ff55f77c2025-08-20T02:38:11ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542022-12-0155147148410.1080/22797254.2022.2114382Analysis of spatial-temporal evolution of landscape patterns in ancient large city-sites based on multi-temporal Landsat imagery: a case study of the Zhouyuan site region in ChinaJian Chen0Yanlong Zhang1Xifan Liu2Xihui Sun3College of Landscape Architecture and Art, Northwest A&F University, Yangling, Shaanxi, P.R. ChinaCollege of Landscape Architecture and Art, Northwest A&F University, Yangling, Shaanxi, P.R. ChinaCollege of Landscape Architecture and Art, Northwest A&F University, Yangling, Shaanxi, P.R. ChinaCollege of Landscape Architecture and Art, Northwest A&F University, Yangling, Shaanxi, P.R. ChinaThis study takes the Zhouyuan site region, which is the most representative Western Zhou Dynasty (1046 BC-771BC) large city-site in China, as an example. Based on the interpretation results of satellite remote sensing images from 1973 to 2021, the paper systematically analyzed the evolution of landscape patterns in the Zhouyuan site region spanning for about 50 years using 4 methods, including land use classification, land use transfer matrix, landscape pattern distribution gravity center model and landscape pattern index. Additionally, the results show that nowadays Zhouyuan site is still in a period of accelerated invasion and destruction by natural and human factors, which indicates that the protection of the Zhouyuan site has been inadequate or even unsuccessful for a long time. For the purpose of making more accurate and better protection of the Zhouyuan site, four challenges and six protection recommendations have been put forward. Based on remote sensing and geographic information system (GIS), this paper contributed a method combining 4 models to analyze the spatial-temporal evolution characteristics of landscape pattern of ancient large city-sites, in order to provide more basis for the formulation of cultural relic protection strategies.https://www.tandfonline.com/doi/10.1080/22797254.2022.2114382Landscape patternland useremote sensingZhouyuan sitespatial-temporal evolutionconservation strategy
spellingShingle Jian Chen
Yanlong Zhang
Xifan Liu
Xihui Sun
Analysis of spatial-temporal evolution of landscape patterns in ancient large city-sites based on multi-temporal Landsat imagery: a case study of the Zhouyuan site region in China
European Journal of Remote Sensing
Landscape pattern
land use
remote sensing
Zhouyuan site
spatial-temporal evolution
conservation strategy
title Analysis of spatial-temporal evolution of landscape patterns in ancient large city-sites based on multi-temporal Landsat imagery: a case study of the Zhouyuan site region in China
title_full Analysis of spatial-temporal evolution of landscape patterns in ancient large city-sites based on multi-temporal Landsat imagery: a case study of the Zhouyuan site region in China
title_fullStr Analysis of spatial-temporal evolution of landscape patterns in ancient large city-sites based on multi-temporal Landsat imagery: a case study of the Zhouyuan site region in China
title_full_unstemmed Analysis of spatial-temporal evolution of landscape patterns in ancient large city-sites based on multi-temporal Landsat imagery: a case study of the Zhouyuan site region in China
title_short Analysis of spatial-temporal evolution of landscape patterns in ancient large city-sites based on multi-temporal Landsat imagery: a case study of the Zhouyuan site region in China
title_sort analysis of spatial temporal evolution of landscape patterns in ancient large city sites based on multi temporal landsat imagery a case study of the zhouyuan site region in china
topic Landscape pattern
land use
remote sensing
Zhouyuan site
spatial-temporal evolution
conservation strategy
url https://www.tandfonline.com/doi/10.1080/22797254.2022.2114382
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