Grain-scale monitoring of fluvial morphology is important for the evaluation of river system dynamics. Significant progress in remote sensing and computer performance allows rapid high-resolution data acquisition, however, applications in fluvial environments remain challenging. Even in a controlled environment, such as a laboratory, the extensive acquisition workflow is prone to the propagatio...

Stereo image matching is to find conjugate points on overlapping images pair, i.e., search for the same image pixels of a ground point on the left and right images. When the image orientation parameters are known, the 3D (X,Y,Z) coordinates of the ground point can be calculated. This process is the core part of DEM (Digital Elevation Model) generation in digital photogrammetry. Research on this...

There is a need to automate terrain feature mapping so that to make the process more objective and less time consuming by using proper feature extraction techniques. The objective of this study was the use of object-oriented image analysis methods for the automatic extraction of alluvial fan terrain units. The study area was located in the Death Valley, Nevada, USA. The data used included an AS...

This case study concerns vertical errors of five different high-resolution digital elevation models (DEMs) originated from light detection and ranging (LiDAR), interferometric SAR (InSAR) and photogrammetric acquisition. The LiDAR DEM derived from last return points was considered as the reference DEM. The aim was to analyse the statistical and spatial distribution of the residuals and their re...

Mars topographic data, such as digital orthophoto maps (DOMs) and digital elevation models (DEMs) are essential to planetary science and exploration missions. The main objective of our study is to generate a higher resolution DEM using the Mars Express (MEX) High Resolution Stereo Camera (HRSC). This paper presents a novel pixel-level image matching method for HRSC linear pushbroom imagery. We ...

The remote sensing technique has been widely applied in global topographic survey, e.g., for computing a digital elevation model (DEM). The synthetic aperture radar (SAR) is able to perform a synoptic monitoring of the Earth under all-weather and day-and-night conditions. Among the SAR-derived DEM reconstruction techniques, four different methods, i.e., clinometry, grammetry, interferometry and...

Digital elevation models (DEM) are an essential component of many geographic information systems (GIS), especially in natural resources applications. Recently, a number of prototype geographic information systems based on quadtrees have been developed. Digital elevation data create special problems for quadtree systems, since neighboring grid cells seldom have identical values. In this paper, w...

Digital elevation maps (DEMs) provide a digital representation of 3-D terrain information. In civilian applications, high-precision DEMs carry a high commercial value owing to the large amount of effort in acquiring them; and in military applications, DEMs are often used to represent critical geospatial information in sensitive operations. These call for new technologies to prevent unauthorized...

Research has been conducted to develop a methodology that can delineate land management units (LMU’s) that is, zones within a paddock which can be identified, mapped and managed according to their land-use or productive capabilities. Soil sampling and analysis is a crucial component in depicting the landscape characteristics, however it is a time consuming and costly exercise to undertake. Data...

Raster based digital elevation models (DEM) are the basis of some of the most important GIS workflows: hydrologic modeling, site suitability, and cost path analysis. While there are several techniques for generating digital elevation models (DEMs), none of them can produce a true elevation surface. Locally varying measurement error and the inexactness of the interpolation methods contribute to ...