Remote Sensing – An Effective Data Source for Urban Monitoring
Remote Sensing – An Effective Data Source for Urban Monitoring
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发表时间：
2011-07
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通讯作者：
H. Taubenböck;T. Esch
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作者：
H. Taubenböck;T. Esch
城市监测意味着对城市内部的变化或一致性进行多时间的观察和测量。城市环境是高度复杂的，因为城市由大量的人组成，他们生活在相对密度和多样性的条件下，在动态相互关联的过程中。大多数条件和过程都与空间有关。因此，为了测量、分析和理解城市文脉、动态相互关系及其永久变化，空间信息至关重要。作为一种数据来源，遥感数据天生就适合于在不同时空尺度上提供关于城市土地覆盖特征及其随时间变化的信息。本文概述了DLR目前的应用，并举例说明了基于遥感数据的城市监测的能力和局限性。
Urban monitoring implies multi-temporal observation and measurement of transformations or consistencies within cities. The urban context is highly complex, as cities consist of a large number of people living in close proximity and conditions of relative density and diversity in dynamically interrelated processes. Most of the conditions and processes are related to space. Thus, for measuring, analyzing and understanding the urban context, the dynamic interrelations and its permanent changes, spatial information are crucial. As one data source, remotely sensed data are inherently suited to provide information on urban land cover characteristics, and their changes over time, at various spatial and temporal scales. This paper gives an overview and examples on current applications at DLR to demonstrate capabilities and limitations for monitoring in cities based on remotely sensed data.