Читать книгу Urban Remote Sensing - Группа авторов - Страница 28

Remotely sensed data products such as satellite images have long been utilized to monitor the urban environment and quantify changes. While useful for certain studies, image‐based approaches often lack three‐dimensional (3D) information (the vertical dimension) for comprehensive analyses of vertical change (1D) in addition to lateral change (2D). This chapter introduces light detection and ranging (lidar)‐based modeling of the urban environment, specifically focusing on quantifying built‐up volume and modeling its change within urban areas using multi‐temporal data. In addition, the chapter introduces readers to recent advancements in incorporating spaceborne radar data (e.g. from satellite scatterometer), validated with lidar data, to monitor built‐up volume free from the limitations of high cost, and small area coverage. Finally, the chapter includes discussion of the physical basis and future extension of high‐resolution data synergistically from multiple satellite synthetic aperture radars (SARs).