DOI: 10.1016/j.jag.2014.08.020
Scopus记录号: 2-s2.0-84924355085
论文题名: Drivers of land cover and land use changes in St. Louis metropolitanarea over the past 40 years characterized by remote sensing andcensus population data
作者: Maimaitijiang M ; , Ghulama A ; , Onésimo Sandoval J ; S ; , Maimaitiyiming M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 35, 期: PB 起始页码: 161
结束页码: 174
语种: 英语
英文关键词: Geographically weighted regression
; Land cover and land use
; Urban growth
Scopus关键词: census
; land cover
; land use change
; Landsat
; least squares method
; metropolitan area
; satellite data
; urban growth
; urban population
; Missouri
; Saint Louis [Missouri]
; United States
英文摘要: In this study, we explored the spatial and temporal patterns of land cover and land use (LCLU) andpopulation change dynamics in the St. Louis Metropolitan Statistical Area. The goal of this paper was toquantify the drivers of LCLU using long-term Landsat data from 1972 to 2010. First, we produced LCLUmaps by using Landsat images from 1972, 1982, 1990, 2000, and 2010. Next, tract level population dataof 1970, 1980, 1990, 2000, and 2010 were converted to 1-km square grid cells. Then, the LCLU mapswere integrated with basic grid cell data to represent the proportion of each land cover category within agrid cell area. Finally, the proportional land cover maps and population census data were combinedto investigate the relationship between land cover and population change based on grid cells usingPearson's correlation coefficient, ordinary least square (OLS), and local level geographically weightedregression (GWR). Land cover changes in terms of the percentage of area affected and rates of change werecompared with population census data with a focus on the analysis of the spatial-temporal dynamics ofurban growth patterns. The correlation coefficients of land cover categories and population changes werecalculated for two decadal intervals between 1970 and 2010. Our results showed a causal relationshipbetween LCLU changes and population dynamics over the last 40 years. Urban sprawl was positivelycorrelated with population change. However, the relationship was not linear over space and time. Spatialheterogeneity and variations in the relationship demonstrate that urban sprawl was positively correlatedwith population changes in suburban area and negatively correlated in urban core and inner suburbanarea of the St. Louis Metropolitan Statistical Area. These results suggest that the imagery reflects processesof urban growth, inner-city decline, population migration, and social spatial inequality. The implicationsprovide guidance for sustainable urban planning and development. We also demonstrate that grid cellsallow robust synthesis of remote sensing and socioeconomic data to advance our knowledge of urbangrowth dynamics from both spatial and temporal scales and its association with population change. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79497
Appears in Collections: 气候变化事实与影响
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作者单位: Center for Sustainability, Saint Louis University, St. Louis, MO, United States; Department of Sociology and Anthropology, Saint Louis University, St. Louis, MO, United States; College of Management, Xinjiang Agricultural University, Urumqi, Xinjiang, China
Recommended Citation:
Maimaitijiang M,, Ghulama A,, Onésimo Sandoval J,et al. Drivers of land cover and land use changes in St. Louis metropolitanarea over the past 40 years characterized by remote sensing andcensus population data[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,35(PB)