We present a multi-resolution approach to update and refine coarse 3D models of urban environments from a sequence of intensity images using surface parallax. A coarse and potentially incomplete depth map of the scene obtained from a Digital Elevation Map (DEM) is used as a reference surface which is refined and updated using this approach. We first estimate the camera motion using the referenc...

In this paper we present a stereo feature-based method using SIFT (Scale-invariant feature transform) descriptors. We use automatic feature extractors, matching algorithms between images and techniques of robust estimation to produce a DTM (Digital Terrain Model) using convergent shots of a rock glacier.The geomorphologic structure observed in this study is the Veleta rock glacier (Sierra Nevad...

A meaningful hydrological network is critical to spatial analysis and modelling. ‘Meaningful’ in that it is topologically correct, provides a basis for modelling flow and differentiates between different types of water features. In Great Britain, large-scale digital mapping of hydrological features was captured from paper maps and had a cartographic emphasis that had poor attribution, and no un...

Much of the Watonwan River tributary system to the upper Mississippi River basin (UMR), and the fluvial systems to which it drains, are listed as impaired under the United States Environmental Protection Agency Clean Water Act303(d) and/or by the Minnesota Pollution Control Agency. In addition, eutrophic conditions and excessive sedimentation rates exist in Lake Pepin, a riverine lake to which ...

Remote sensing data is collected and analyzed to enhance understanding of the terrestrial surface– in composition, in form or in function. One approach to accomplishing this is by designing the analysis process as an iterated composite of several analyst-directed modules. This paper proposes such a modular design for the data analysis. The proposed methodology was applied in a project to obtain...

1988 PREFACE The intent of this publication is twofold: (1) to serve as a user guide for soil scientists and others interested in learning about the value and use of digital elevation model (DEM) data in making soil surveys and (2) to provide documentation of the Soil Landscape Analysis Project (SLAP). This publication provides a step-by-step guide on how digital slope-class maps are adjusted t...

Methods We digitized lizard distribution data to generate gridded maps of species richness and b-diversity. Using similar maps for amphibians, mammals and birds, we explored the relationship between species richness and temperature, actual evapotranspiration, elevation and local elevation range. We used spatial eigenvector filtering and geographically weighted regression to explore geographical...

High-resolution images of the seabed obtained with the use of hydroacoustic measurements allow a detailed identification of inaccessible seabed areas such as the Hans Glacier foreland in the Hornsund Fjord on Spitsbergen. Analyses presented in the paper were carried out on a Digital Elevation Model (DEM) of the bay’s seafloor exposed in the process of deglaciation, obtained from bathymetric dat...

Today, the availability of digital geo-data is increasing rapidly throughout the world, a trend that undoubtedly will continue for the foreseeable future. Among the large geo-data sets available to cartographers are digital terrain models, as well as accurate topographic and thematic data sets about countless physical, social, and economic phenomena. In addition to their geographic coverage and...

Airborne Light Detection and Ranging (LiDAR) is a survey tool with many applications in forestry and forest research. It can capture the 3D structure of vegetation and topography quickly and accurately over thousands of hectares of forest. However, very few studies have assessed how accurately LiDAR can measure surface topography under forest canopies, which may be important, for example, in re...