Clustering Coastal Land Use Sequence Patterns along the Sea–Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China

Specific knowledge about the characteristics of coastal land use along the sea−land direction helps to better understand the spatial heterogeneity of coastal land use, which could offer scientific support for rational land management and the sustainable development of the coastal zone. How...

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Main Authors: Zhi Ding, Fenzhen Su, Junjue Zhang, Yu Zhang, Shuchang Luo, Xuguang Tang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
PAM
Online Access:https://www.mdpi.com/2072-4292/11/17/2024
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spelling doaj-efdcab5c7bb04201b17bf4d52daf346d2020-11-25T01:38:01ZengMDPI AGRemote Sensing2072-42922019-08-011117202410.3390/rs11172024rs11172024Clustering Coastal Land Use Sequence Patterns along the Sea–Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, ChinaZhi Ding0Fenzhen Su1Junjue Zhang2Yu Zhang3Shuchang Luo4Xuguang Tang5Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaChongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, ChinaChongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, ChinaSpecific knowledge about the characteristics of coastal land use along the sea−land direction helps to better understand the spatial heterogeneity of coastal land use, which could offer scientific support for rational land management and the sustainable development of the coastal zone. However, the traditional methods including buffering or the regional method are hard to extract detailed spatial structure and location correlations of coastal land use along the sea−land direction. Therefore, we developed a model, called sequence−based clustering of coastal land use pattern (SCCLUP), to mine the coastal land use sequence patterns (CLUSPs) along the sea−land direction. As a case study in the major coastal zone of Bohai Bay and the Yellow River Delta from 1990 to 2010, we found that: (1) The land use showed a sequential distribution along the sea−land direction. And the land use closed to shoreline and inland boundary had relative stable sequential location along the sea−land direction. However, the middle land uses had dynamic sequential locations that led to multiple CLUSPs; (2) due to the increasing percent of construction land, the artificial level of CLUSPs was continuously increasing and new CLUSPs tended to distribute around port areas. Different CLUSPs with similar land use sequential relationships tended to have similar land use structure along the sea−land direction; (3) the land uses sequential location along the sea−land direction revealed the actual distance of land use to the shoreline and had a tight correlation with environmental factors (salinity, water, and landform). The land use with large increasing and wide adaptivity (like construction land) had a large impact on the changes of CLUSPs in the study area. Therefore, strong control should be provided for the excessive expansion of land use like construction land to limit the over changes in land use pattern along the sea−land direction. Additionally, the spatial heterogeneity of land use along the sea−land direction should be considered to a better understanding of anthropic impacts on the coastal zone.https://www.mdpi.com/2072-4292/11/17/2024PAMsea–land directionland use changesequence patterntemporal and spatial heterogeneity
collection DOAJ
language English
format Article
sources DOAJ
author Zhi Ding
Fenzhen Su
Junjue Zhang
Yu Zhang
Shuchang Luo
Xuguang Tang
spellingShingle Zhi Ding
Fenzhen Su
Junjue Zhang
Yu Zhang
Shuchang Luo
Xuguang Tang
Clustering Coastal Land Use Sequence Patterns along the Sea–Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China
Remote Sensing
PAM
sea–land direction
land use change
sequence pattern
temporal and spatial heterogeneity
author_facet Zhi Ding
Fenzhen Su
Junjue Zhang
Yu Zhang
Shuchang Luo
Xuguang Tang
author_sort Zhi Ding
title Clustering Coastal Land Use Sequence Patterns along the Sea–Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China
title_short Clustering Coastal Land Use Sequence Patterns along the Sea–Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China
title_full Clustering Coastal Land Use Sequence Patterns along the Sea–Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China
title_fullStr Clustering Coastal Land Use Sequence Patterns along the Sea–Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China
title_full_unstemmed Clustering Coastal Land Use Sequence Patterns along the Sea–Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China
title_sort clustering coastal land use sequence patterns along the sea–land direction: a case study in the coastal zone of bohai bay and the yellow river delta, china
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2019-08-01
description Specific knowledge about the characteristics of coastal land use along the sea−land direction helps to better understand the spatial heterogeneity of coastal land use, which could offer scientific support for rational land management and the sustainable development of the coastal zone. However, the traditional methods including buffering or the regional method are hard to extract detailed spatial structure and location correlations of coastal land use along the sea−land direction. Therefore, we developed a model, called sequence−based clustering of coastal land use pattern (SCCLUP), to mine the coastal land use sequence patterns (CLUSPs) along the sea−land direction. As a case study in the major coastal zone of Bohai Bay and the Yellow River Delta from 1990 to 2010, we found that: (1) The land use showed a sequential distribution along the sea−land direction. And the land use closed to shoreline and inland boundary had relative stable sequential location along the sea−land direction. However, the middle land uses had dynamic sequential locations that led to multiple CLUSPs; (2) due to the increasing percent of construction land, the artificial level of CLUSPs was continuously increasing and new CLUSPs tended to distribute around port areas. Different CLUSPs with similar land use sequential relationships tended to have similar land use structure along the sea−land direction; (3) the land uses sequential location along the sea−land direction revealed the actual distance of land use to the shoreline and had a tight correlation with environmental factors (salinity, water, and landform). The land use with large increasing and wide adaptivity (like construction land) had a large impact on the changes of CLUSPs in the study area. Therefore, strong control should be provided for the excessive expansion of land use like construction land to limit the over changes in land use pattern along the sea−land direction. Additionally, the spatial heterogeneity of land use along the sea−land direction should be considered to a better understanding of anthropic impacts on the coastal zone.
topic PAM
sea–land direction
land use change
sequence pattern
temporal and spatial heterogeneity
url https://www.mdpi.com/2072-4292/11/17/2024
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