帮助 关于我们

返回检索结果

武汉市不透水地表时空格局分析
Spatial and Temporal Patterns Analysis of Impervious Surface inWuhan City

查看参考文献33篇

文摘 根据植被-不透水地表-土壤(V-I-S)模型,以武汉市2002、2009、2015年3期Landsat影像为数据源,利用线性光谱混合模型进行亚像元分解获取不透水地表比例的空间分布。在此基础上采用梯度分析、景观格局指数等方法对研究区内不透水地表空间格局及变化进行分析。得到以下结论:武汉市2002、2009、2015年的平均不透水地表比例分别是27.53%,34.65%,40.51%,呈不断增长的趋势。主城区的不透水地表比例明显高于新城区,但新城区不透水地表比例增加幅度大于主城区。武汉市不透水地表主要沿长江、汉江两条轴线分布,随着与城市中心距离的增大,不透水地表比例递减后趋于稳定,三环线内4 km和三环外10 km范围是平均不透水地表比例增量最大的圈层。2002~2015年,武汉市由自然地表与极低盖度等级占主导的景观格局逐渐演变为以中高盖度不透水盖度等级占主导。
其他语种文摘 Impervious surface is considered as an indicator of urban ecological environment and impervious surface area data, which is important to urban planning and environmental and resources management. The reconciliation between the V-I-S model and LSMA provided a continuum field model, which offered an alternative, effective approach for characterizing and quantifying the spatial and temporal changes of impervious surface. In this article, we extracted the impervious surface information from Landsat images of 2002, 2009 and 2015 within the metropolitan area of Wuhan by a fully constrained linear spectral mixture model based on the vegetation- impervious surface-soil (V-I-S) model. Here, gradient analysis was adopted to analyze spatial distribution and four different landscape indicators were chosen to analysis landscape patterns dynamics of impervious surface from 2002 to 2015. Rusults of this study were as follows: The average impervious surface coverage of Wuhan was respectively 27.53% in 2002, 34.65% in 2009 and 40.51% in 2015, which showed a trend of rising. The areas of high impervious surface coverage value of Wuhan are mainly distributed along the Yangtze River and Han River as well as in some secondary centers such as Jiangxia and Hannan and that of low value are mainly distributed in suburban counties. For the period 2002 to 2009, areas of new impervious surfaces mainly formed around existing urban areas and mostly concentrated in circumjacent areas of Wuhan Economy and Technology Development Zone and Donghu New Technology Development Zone as well. After 2009, it was observed that the distribution of new impervious surfaces was scattered. The impervious surface coverage of main urban area is obviously higher than new urban district, but the impervious surface coverage of new urban district increase rapidly. With the increase of the distance to downtown, impervious surface coverage tended to be stable after progressive decrease. The range of 10km outside the third-ring road and 4 km within it was the area of largest increment of average impervious surface coverage. Landscape pattern analysis results showed that natural surface and area of very high density impervious surface had a low degree of fragmentation, strong spatial continuity and a very simple shape. Conversely, low density and medium density impervious surface area had a high degree of fragmentation, weakest spatial continuity and a very complex shape. The patches shape shows that natural surface had a high dominant position in 2002, but after that changed to high density impervious surface after 2015.
来源 地理科学 ,2017,37(12):1917-1924 【核心库】
DOI 10.13249/j.cnki.sgs.2017.12.016
关键词 线性光谱混合模型 ; 不透水地表 ; 景观格局 ; 武汉市
地址

武汉大学资源与环境科学学院, 湖北, 武汉, 430079

语种 中文
文献类型 研究性论文
ISSN 1000-0690
学科 环境质量评价与环境监测
基金 国家自然科学基金项目
文献收藏号 CSCD:6147025

参考文献 共 33 共2页

1.  Arnold C L. Impervious surface coverage-The emergence of a key environmental indicator. Journal of the American Planning Association,1996,62(2):243-258 CSCD被引 128    
2.  Terrence Slonecker E. Donald Garofalo.Remote sensing of impervious surfaces:A review. Remote Sensing Reviews,2001,20(3):227-255 CSCD被引 30    
3.  Weng Q. A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis. United States International Journal of Applied Earth Observation and Geoinformation,2008,10(1):68-83 CSCD被引 27    
4.  Weng Q. Modeling urban growth effect on surface runoff with the integration of remote sensing and GIS. Environmental Management,2001,28(6):737-748 CSCD被引 16    
5.  王浩. 不透水面遥感提取及应用研究进展. 地球科学进展,2013,28(3):327-336 CSCD被引 20    
6.  肖捷颖. 基于地表能量平衡的城市热环境遥感研究——以石家庄市为例. 地理科学,2014,34(3):338-343 CSCD被引 9    
7.  刘珍环. 不透水表面遥感监测及其应用研究进展. 地理科学进展,2010,29(9):1143-1152 CSCD被引 25    
8.  Weng Q. Remote sensing of impervious surfaces in the urban areas: Requirements,methods,and trends. Remote Sensing of Environment,2012,117:34-49 CSCD被引 42    
9.  Elvidge C D. Global distribution and density of constructed impervious surfaces. Sensors,2012,26(3):1962-1979 CSCD被引 1    
10.  匡文慧. 21世纪初中国人工建设不透水地表遥感监测与时空分析. 科学通报,2013(Z1):465-478 CSCD被引 28    
11.  李素. TM/ETM+遥感影像混合像元分解及其应用研究,2009:5-25 CSCD被引 1    
12.  Ridd M K. Exploring a V-I-S (Vegetation-Impervious surface-Soil) model for urban ecosystem analysis through remote-sensing-comparative anatomy for cities. International Journal of Remote Sensing,1995,16(12):2165-2185 CSCD被引 196    
13.  Wu C S. Estimating impervious surface distribution by spectral mixture analysis. Remote Sensing of Environment,2003,84(4):493-505 CSCD被引 91    
14.  Hu X F. Estimation of impervious surfaces of Beijing, China, with spectral normalized images using linear spectral mixture analysis and artificial neural network. Geocarto Int,2010,25(3):23-53 CSCD被引 1    
15.  Weng F Q. Mapping and assessing of urban impervious areas using multiple endmember spectral mixture analysis:a case study in the city of Tampa,Florida. Geocarto Int,2013,28(7):594-615 CSCD被引 2    
16.  Weng Q. Medium spatial resolution satellite imagery for estimating and mapping urban impervious surfaces using LSMA and ANN. IEEE Trans Geosci Remote Sensing,2008,46(8):397-406 CSCD被引 1    
17.  李志. 1995年以来中国中部城市不透水面增长变化监测及其增长模式研究--以南昌市为例. 地理科学,2015,35(11):1444-1451 CSCD被引 4    
18.  刘珍环. 深圳市不透水表面的遥感监测与时空格局. 地理研究,2012,31(8):1535-1545 CSCD被引 11    
19.  周存林. 福州城区不透水面的光谱混合分析与识别制图. 中国图象图形学报,2007,12(5):875-881 CSCD被引 16    
20.  翟珂. 基于OLI影像的环渤海湾不透水面提取及空间格局分析. 资源科学,2015,37(10):1920-1928 CSCD被引 7    
引证文献 7

1 陈斌 武汉市主城区用地结构遥感监测及动态变化 地球信息科学学报,2019,21(2):293-303
CSCD被引 4

2 李涵 徐州市中心城区不透水面时空异质性分析 长江流域资源与环境,2019,28(3):668-680
CSCD被引 6

显示所有7篇文献

论文科学数据集
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号