Urban sprawl in provincial capital cities in China: evidence from multi-temporal urban land products using Landsat data

被引：6

作者：

Linlin Lu ^{[1
]}

Huadong Guo ^{[1
]}

Christina Corbane ^{[2
]}

Qingting Li ^{[1
]}

机构：

[1] Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences

[2] European Commission,Joint Research Centre (JRC),Directorate for Space,Security & Migration

来源：

Science Bulletin | 2019年 / 64卷 / 14期

基金：

中国国家自然科学基金;

关键词：

Urban sprawl in provincial capital cities in China; evidence from multi-temporal urban land products using Landsat data;

D O I：

暂无

中图分类号：

F299.2 [中国];

学科分类号：

1204 ;

摘要：

The onset of global urbanization has led to a population shift from rural to urban areas and the expansion of urban development;.Urban land areas are growing at faster rates than their populations in most parts of the world;.The urban sprawl process refers to dispersed land development characterized by low-density,unplanned,and uneven patterns of growth during urban expansion.This process can result in inefficient use of land resources contradictory to the principle of sustainable development;.Additionally,urban sprawl has various environmental,economic,and social consequences,including the following:loss

引用

页码：955 / 957

页数：3

共 50 条

[1] Urban sprawl in provincial capital cities in China: evidence from multi-temporal urban land products using Landsat data
Lu, Linlin
Guo, Huadong
Corbane, Christina
Li, Qingting
SCIENCE BULLETIN, 2019, 64 (14) : 955 - 957
[2] LAND USE AND LAND COVER CHANGES AND URBAN SPRAWL IN RIYADH, SAUDI ARABIA: AN ANALYSIS USING MULTI-TEMPORAL LANDSAT DATA AND SHANNON'S ENTROPY INDEX
Rahman, M. T.
XXIII ISPRS CONGRESS, COMMISSION VIII, 2016, 41 (B8): : 1017 - 1021
[3] Urban Sprawl and Social Capital: Evidence from Indonesian Cities
Civelli, Andrea
Gaduh, Arya
Rothenberg, Alexander D.
Wang, Yao
ECONOMIC JOURNAL, 2023, 133 (654): : 2110 - 2146
[4] Using Spatial Autocorrelation Techniques and Multi-temporal Satellite Data for Analyzing Urban Sprawl
Nole, Gabriele
Danese, Maria
Murgante, Beniamino
Lasaponara, Rosa
Lanorte, Antonio
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2012, PT III, 2012, 7335 : 512 - 527
[5] Quantifying Urban Sprawl with Spatial Autocorrelation Techniques using Multi-Temporal Satellite Data
Nole, Gabriele
Lasaponara, Rosa
Lanorte, Antonio
Murgante, Beniamino
INTERNATIONAL JOURNAL OF AGRICULTURAL AND ENVIRONMENTAL INFORMATION SYSTEMS, 2014, 5 (02) : 19 - 37
[6] Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China
Yu, Xinyang
Zhang, Anding
Hou, Xiyong
Li, Mingjie
Xia, Yingxiao
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2013, 6 : 137 - 154
[7] Land finance and urban Sprawl: Evidence from prefecture-level cities in China
Yu, Binbin
Zhou, Xinru
HABITAT INTERNATIONAL, 2024, 148
[8] Property Tax Reform and Urban Sprawl-Evidence from Provincial Data in China
Li Jiao
2014 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING (ICMSE), 2014, : 2061 - 2066
[9] Urban land cover dynamics and their impact on ecosystem services in Kigali, Rwanda using multi-temporal Landsat data
Mugiraneza, Theodomir
Ban, Yifang
Haas, Jan
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2019, 13 : 234 - 246
[10] Detection of urban expansion and land surface temperature change using multi-temporal landsat images
Wang, Shenmin
Ma, Qifang
Ding, Haiyong
Liang, Hanwei
RESOURCES CONSERVATION AND RECYCLING, 2018, 128 : 526 - 534

← 1 2 3 4 5 →