A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. The system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via multi-image triangulation. Model-to-image registration techniques are applied to align new ...

This paper explores the effects of urban texture on building energy consumption. It is based on the analysis of digital elevation models (DEMs)—raster models of cities which have proven to be very effective in the urban context. Different algorithms are proposed and discussed, including the calculation of the urban surface-to-volume ratio and the identification of all building areas that are wi...

Digital elevation models (DEMs) vary in resolution and accuracy by the production method. DEMs with different resolutions and accuracies can generate varied topographic and hydrological features, which can in turn affect predictions by soil erosion models, such as the WEPP (Water Erosion Prediction Project) model. This study investigates the effects of DEMs on deriving topographic and hydrologi...

Vegetation provides important functions and services in urban areas, and vegetation heights divided into vertical and horizontal units can be used as indicators for its assessment. Conversely, detailed area-wide and updated height information is frequently missing for most urban areas. This study sought to assess three vegetation height classes from a globally available TanDEM-X digital elevati...

Logistical constraints have caused data collection in seasonally-snow covered areas to generally be on a campaign basis with limited instrumentation. The problems of winter access, cold air temperatures, and blowing snow cause both equipment malfunctions and problems with consistent and timely maintenance. At the Long-Term Ecological Research (LTER) network site in an alpine area of Colorado, w...

The digital elevation model derived from SAR Interferometry is prone to atmospheric, penetration into soil medium, system noise and decorrelation errors. Eight ASAR images are selected for this study which have unique data set forming 7 InSAR pairs with single master image. It is expected that all the DEMs should have the same elevation values spatially with in the noise limits. However, they d...