Quantifying uncertainty in remote sensing-based urban land-use mapping     

《International Journal of Applied Earth Observation and Geoinformation》2014

Land-use/land-cover information constitutes an important component in the calibration of many urban growth models. Typically, the model building involves a process of historic calibration based on time series of land-use maps. Medium-resolution satellite imagery is an interesting source for obtaining data on land-use change, yet inferring information on the use of urbanised spaces from these images is a challenging task that is subject to different types of uncertainty. Quantifying and reducing the uncertainties in land-use mapping and land-use change model parameter assessment are therefore crucial to improve the reliability of urban growth models relying on these data. In this paper, a remote sensing-based land-use mapping approach is adopted, consisting of two stages: (i) estimating impervious surface cover at sub-pixel level through linear regression unmixing and (ii) inferring urban land use from urban form using metrics describing the spatial structure of the built-up area, together with address data. The focus lies on quantifying the uncertainty involved in this approach. Both stages of the land-use mapping process are subjected to Monte Carlo simulation to assess their relative contribution to and their combined impact on the uncertainty in the derived land-use maps. The robustness to uncertainty of the land-use mapping strategy is addressed by comparing the most likely land-use maps obtained from the simulation with the original land-use map, obtained without taking uncertainty into account. The approach was applied on the Brussels-Capital Region and the central part of the Flanders region (Belgium), covering the city of Antwerp, using a time series of SPOT data for 1996, 2005 and 2012. Although the most likely land-use map obtained from the simulation is very similar to the original land-use map – indicating absence of bias in the mapping process – it is shown that the errors related to the impervious surface sub-pixel fraction estimation have a strong impact on the land-use map's uncertainty. Hence, uncertainties observed in the derived land-use maps should be taken into account when using these maps as an input for modelling of urban growth.  相似文献   

Population growth in Bejing: trends and countermeasures     

Zhaoliang Hu  Francis Yee  George Chusheng Lin 《中国地理科学(英文版)》1991,1(3):212-220

Beijing’ population has experienced a dramatic increase eversince the founding of the People’s Republic of China. Population growthin Beijing can be broadly broken down into three major components:natural increase, immigration, and the growth of floating population. Thecontinuous growth of Beijing’s population is closely linked with its centralized multi-function. The comprehensive countermeasures to control Beijing’s population growth are proposed, for example, decentralizing economicfunctions, including developing the suburbs, developing the metropolitan areaand creating counter-magnetic centers, reforming the administrative and economic systems.  相似文献   

CHINA’S　URBAN　RESIDENTIAL　COMMUNITY　IN　THE　COURSE　OF　TRANSFER　OF　SOCIAL　PATTERN     

Zhang Jingxiang 《中国地理科学(英文版)》1996,(4)

ＣＨＩＮＡ’Ｓ　ＵＲＢＡＮ　ＲＥＳＩＤＥＮＴＩＡＬ　ＣＯＭＭＵＮＩＴＹ　ＩＮ　ＴＨＥ　ＣＯＵＲＳＥ　ＯＦ　ＴＲＡＮＳＦＥＲ　ＯＦ　ＳＯＣＩＡＬ　ＰＡＴＴＥＲＮＣＨＩＮＡ’ＳＵＲＢＡＮＲＥＳＩＤＥＮＴＩＡＬＣＯＭＭＵＮＩＴＹＩＮＴＨＥＣＯＵＲＳＥＯＦＴ...  相似文献   

Exploring the factors affecting urban ecological risk: A case from an Indian mega metropolitan region     

《地学前缘(英文版)》2023,14(1):101488

Assessment of ecological risk (ER) is a key approach to adapting and mitigating ecological deterioration in cities of developing countries. In developing countries, the ecological landscapes such as vegetation cover, water bodies, and wetlands are highly vulnerable due to rapid urban expansion. Therefore, urban ER (UER) assessment and its drivers are crucial to guide ecological protection as well as restoration. This study aims to explore the spatiotemporal pattern of UER and the impact of urban spatial form on UER in the Kolkata Megacity Region (KMR), India. This study developed a UER index and used spatial regression models across the urban centres. The ER has been assessed at city scale as well as grid-scale (2 km × 2 km and 5 km × 5 km) from 2000 to 2020. The results showed that ER has substantially increased over the last 20 years. The urban centres with very high and high ER substantially increased, i.e. from 21.95% in 2000 to 31.70% in 2020. Kolkata and its surrounding urban centres were mostly characterized by very high and high ER. ER was influenced by spatial variables (such as land use and landscapes pattern). However, remote sensing parameters were weakly related to ER. The spatial lag model (SLM) (R² = 0.8686) was found to be better fit model than spatial error model (SEM) (R² = 0.8661) and ordinary linear regression model (OLS) (R² = 0.8641). Thus, the findings of the study can improve research and a comprehensive framework for urban ecological resources and provide a scientific basis for urban ecosystem planning and restoration. In addition to this, it will guarantee the sustainable utilization of urban ecosystems.  相似文献   

我国城市规划中气候信息应用回顾与展望   总被引：2，自引：1，他引：1  

房小怡  王晓云  杜吴鹏  李磊  任希岩  贺健  程宸  刘勇洪 《地球科学进展》2015,30(4):445-455

城市规划中气候信息的应用经历了从早期的风玫瑰图利用到考虑风、温、湿、压等要素的气候适宜性分析以及目前关注城市通风环境、热环境以及污染敏感区的城市环境气候图技术的历程。气候信息获得的途径也从数量极为有限的基本气象观测站资料到空间加密的自动气象站资料、更精细的气象数值模式以及精细化地理信息技术的应用。同时,细化的技术导则和规范的建立以及不同行业间的联合发文有力推动了气候信息的实际应用。此外,研究展示了近年开展的伊犁、深圳、北京实际案例主要内容。最后,针对未来我国将根据大气环流特征和生态环境承载能力、走优化城镇空间布局和城镇规模结构的新型城镇化道路,从工作层面和技术层面给出了需要不断完善并深入研究的几个重点。  相似文献   

污水源热泵技术在城市住宅供暖中的应用研究     

于浩  刘静  肖天鹏 《城市地质》2015,(4):21-24

随着城市的发展和能源需求的增长,污水的热能回收利用越来越受到关注,开发污水源热泵技术对建筑节能降耗具有重要意义。本文就污水源热泵系统的工作原理、特点等方面进行了介绍,阐述了国内外污水源热泵技术的开发利用历程与工程现状,分析了城市污水热能资源潜力以及污水源热泵技术的发展前景,指出利用污水与环境的温差获取热能具有十分巨大的能量资源前景,适宜的热源距离是污水源热泵开发利用的先决条件,开发污水源热泵系统,可以充分利用城市污水处理厂的二级出水或城市污水作为水源,通过合理利用出水的流量和温差为城市住宅供暖。基于我国能源与环境的现状,污水源热泵系统具有良好的市场前景,是一种值得推广的能源开发利用方式。  相似文献   

Administrative hierarchy and urban land expansion in transitional China     

《Applied geography (Sevenoaks, England)》2015

In a growing body of literature on urbanization in China, scholars have emphasized the proactive role of the Chinese local state in urban land expansion. Drawing upon official land use change data from 1998 to 2008, this study investigates the relationship between the hierarchical structure of the Chinese urban administrative system and urban land expansion. We find that urban land expansion coincides with administrative hierarchy, and cities with higher administrative levels (ranked by central government) tend to expand more rapidly while controlling for other economic and demographic drivers of urban expansion. Spatial regime models reveal that economic and demographic drivers of urban growth are also sensitive to a city's administrative rank. By quantifying the link between a city's rank and urban land expansion, we conclude that considering the hierarchical structure of the Chinese cities will result in a fuller understanding of the rapid urban growth in China.  相似文献   

Monitoring land changes in an urban area using satellite imagery,GIS and landscape metrics     

《Applied geography (Sevenoaks, England)》2015

Monitoring land changes is an important activity in landscape planning and resource management. In this study, we analyze urban land changes in Atlanta metropolitan area through the combined use of satellite imagery, geographic information systems (GIS), and landscape metrics. The study site is a fast-growing large metropolis in the United States, which contains a mosaic of complex landscape types. Our method consisted of two major components: remote sensing-based land classification and GIS-based land change analysis. Specifically, we adopted a stratified image classification strategy combined with a GIS-based spatial reclassification procedure to map land classes from Landsat Thematic Mapper (TM) scenes acquired in two different years. Then, we analyzed the spatial variation and expansion of urban land changes across the entire metropolitan area through post classification change detection and a variety of GIS-based operations. We further examined the size, pattern, and nature of land changes using landscape metrics to examine the size, pattern, and nature of land changes. This study has demonstrated the usefulness of integrating remote sensing with GIS and landscape metrics in land change analysis that allows the characterization of spatial patterns and helps reveal the underlying processes of urban land changes. Our results indicate a transition of urbanization patterns in the study site with a limited outward expansion despite the dominant suburbanization process.  相似文献   

Detection of foreclosure-related landscape management changes using Landsat     

《Applied geography (Sevenoaks, England)》2015

The volume of properties affected by foreclosure over the past decade suggests the potential for dramatic change in vegetation cover due to changes in management. Yet, the specific pathology of each foreclosure, the temporal asynchrony among foreclosures, and differences in the area available for vegetation growth across properties presents challenges to observing and measuring change. This paper develops and tests a difference in deviations approach that compares the parcel NDVI to a neighborhood norm before and after foreclosure. The difference in deviations approach addresses the challenges of separating parcel-level change corresponding to foreclosure and identifies changes on both small and large parcels. The method relies on a time series of Landsat Normalized Difference Vegetation Index (NDVI) data, individual home foreclosure records and property tax assessment data for Maricopa County, Arizona from 2002 to 2012. To establish the level of difference associated with observable landscape change, we use a probit regression model, coding Google Earth images for properties across the range of observed deviations of difference. The basic assumption underlying the approach is that if foreclosure coincides with a change in management, it will lead to changes in vegetation structure and thus, NDVI values. We estimate that 13% of home foreclosures in Maricopa County over the period from 2002 to 2012 resulted in declines in vegetation whereas 6.5% resulted in vegetation increases. Future uses of this method for understanding landscape management in residential landscapes are discussed.  相似文献   

Crossing-over between land cover and land use: Exploring spatially varying relationships in two large US metropolitan areas     

《Applied geography (Sevenoaks, England)》2015

Difficulties in identifying actual uses of land space from remote sensing-based land cover products often result in lost opportunities to enhance the capacity of applied research on human settlements. In an attempt to address these difficulties, this study investigates how land cover and land use are interrelated with each other and what determines the relationship patterns by analyzing detailed land use and land cover data for two large US metropolitan areas – the five-county Los Angeles and six-county Chicago regions – where a broad spectrum of human settlements, ranging from urban cores to less-urbanized edges, coexist. The analysis shows that the land cover-land use relationship substantially varies not only across regions but across neighborhoods within each region. Through multivariate regression, it is also found that the intraregional variation is highly associated with the neighborhood's stage of urbanization, median housing age, and other development characteristics, suggesting that the relationship pattern can largely be shaped by the history and evolution of urban design/development.  相似文献