Urban Extent(城市范围)研究综述
Urban Extent 城市范围 - Long term, global records of urban extent can help evaluate environmental impacts of anthropogenic activities. [1] We conducted a visual analysis of high- to very high-resolution satellite imagery to map spatial development (both urban extent and individual buildings) for both cities. [2] This paper aims to determine the safe area according to the spatial and environmental characteristics of the urban extent (accessibility, topography, congestion, and land use). [3] The paper recommends that the urban extent should not be extended until targeted colonization is achieved, and the spatial growth of the city should be managed by encouraging infilled development, high-density living, and public transport provision. [4] Furthermore, the study also aims at comparing the efficiency of the renowned CA-based urban growth model, SLEUTH (Slope, Land use, Exclusion, Urban extent, Transportation, Hill shade), and a self-designed CA-based hybrid model developed in combination with genetic algorithm (GA) for developing future scenario of the city. [5] 02°C per year within the area with a 5-km non-urban extent. [6] 3%) was significantly higher than in urban extents (32. [7] An accurate and efficient extraction of urban extent is important for understanding the dynamics of urban expansion process and for sustainable planning and management of cities. [8] Records of urban extent are useful for not only investigating the urban development, especially for China, which has a long history of urban activate as well as among one of the fastest urban development hotspots worldwide. [9] In this context, Earth Observation (EO) is an opportunity to gather accurate and up-to-date spatial information on urban extents. [10] Parameters of fitting curves reflect disparities of urban extents and urban form among these five cities over time. [11] Urban heat island (UHI), referring to higher temperatures in urban extents than its surrounding rural regions, is widely reported in terms of negative effects to both the ecological environment and human health. [12] In this study, the non-stationarity of Periyar River discharge was investigated through the flood frequency analysis of one stationary and 12 non-stationary models, produced using a generalized extreme value distribution with annual precipitation, urban extent and time as a linear function of its location and scale parameter. [13]长期的全球城市范围记录可以帮助评估人为活动对环境的影响。 [1] 我们对高分辨率到超高分辨率的卫星图像进行了视觉分析，以绘制两个城市的空间发展图（城市范围和单个建筑物）。 [2] 本文旨在根据城市范围的空间和环境特征（可达性、地形、拥堵和土地利用）确定安全区域。 [3] 该文件建议，在实现有针对性的殖民化之前，不应扩大城市范围，并应通过鼓励填充式发展、高密度生活和提供公共交通来管理城市的空间增长。 [4] 此外，该研究还旨在比较著名的基于 CA 的城市增长模型 SLEUTH（坡度、土地利用、排斥、城市范围、交通、山体阴影）和自行设计的基于 CA 的混合模型的效率。结合遗传算法（GA）开发城市的未来场景。 [5] 在 5 公里非城市范围内的区域内每年 02°C。 [6] 3%）明显高于城市范围（32. [7] 准确有效地提取城市范围对于了解城市扩张过程的动态以及城市的可持续规划和管理非常重要。 [8] 城市范围的记录不仅有助于研究城市发展，特别是对中国有着悠久的城市活化历史，也是世界上城市发展最快的热点之一。 [9] 在这种情况下，地球观测 (EO) 是收集有关城市范围的准确和最新空间信息的机会。 [10] 拟合曲线的参数反映了这五个城市随时间推移的城市范围和城市形态的差异。 [11] 城市热岛（UHI）是指城市范围内的温度高于其周边农村地区，在对生态环境和人类健康的负面影响方面被广泛报道。 [12] 在这项研究中，通过对一个稳态和 12 个非稳态模型的洪水频率分析，研究了 Periyar 河流量的非平稳性，该模型使用年降水量、城市范围和时间作为其线性函数的广义极值分布产生。位置和尺度参数。 [13]
Extracting Urban Extent
However, in previous studies most researchers focused on extracting urban extent, leaving the interior variation of nighttime radiance intensity poorly explored. [1] By extracting urban extents and urban density maps from SAR data, changes in nighttime lights can be used to detect changes related to the level of activity in a specific portion of each urban areas. [2]Historical Urban Extent 历史城市范围
Spatially explicit, fine-grained datasets describing historical urban extents are rarely available prior to the era of operational remote sensing. [1] : Spatially explicit, fine-grained datasets describing historical urban extents are rarely available prior to the era of operational remote sensing. [2]在操作遥感时代之前，描述历史城市范围的空间明确、细粒度的数据集很少可用。 [1] ：在可操作遥感时代之前，描述历史城市范围的空间明确、细粒度的数据集很少可用。 [2]
urban extent map 城市范围图
The urban extent maps of 1997, 2005, 2008, 2014 and 2019 derived from Landsat imageries were used in calibration and validation of models. [1] urban extent maps), transition rules, and urban demands (i. [2] The use of different social media data results into different urban extent maps, and for different cities the same approach provides different accuracy values for the same area, according to the availability of either social media data set. [3]来自 Landsat 图像的 1997、2005、2008、2014 和 2019 年城市范围图用于模型的校准和验证。 [1] 城市范围图）、过渡规则和城市需求（i. [2] nan [3]