Digital Elevation Models commonly known as DEM’s are widely used in Terrain Analysis & image processing applications. A Digital Elevation Model is commonly used for Analysis of various features & objects which are remotely sensed by various devices & Techniques of Modern Era. Detail Literature Review of DEM by referring various Journals & Research papers is proposed in this paper. Various Remot...

[1] This study attempts to develop a method for the simulation of surface flow paths on a digital elevation model (DEM). The objective is to use a facet-based algorithm to estimate the surface flow paths on a raster DEM. A grid DEM was used to create a triangular facet network (TFN) over which the surface flow paths were determined. Since each facet in the network has a constant slope and aspec...

Recently, with InSAR data provided by the German TanDEM-X mission, a new global, high-resolution Digital Elevation Model (DEM) has been produced by the German Aerospace Center (DLR) with unprecedented height accuracy. However, due to SAR-inherent sensor specifics, its quality decreases over urban areas, making additional improvement necessary. On the other hand, DEMs derived from optical remote...

Digital elevation models (DEMs) derived from airborne lidar are traditionally unreliable in coastal salt marshes due to the inability of the laser to penetrate the dense grasses and reach the underlying soil. To that end, we present a novel processing methodology that uses ASTER Band 2 (visible red), an interferometric SAR (IfSAR) digital surface model, and lidar-derived canopy height to classi...

Fractional tree cover (Fcover) is an important biophysical variable for measuring forest degradation and characterizing land cover. Recently, atmospherically corrected Landsat data have become available, providing opportunities for high-resolution mapping of forest attributes at global-scale. However, topographic correction is a pre-processing step that remains to be addressed. While several me...

Digital Elevation Models (DEMs) have been increasingly used to model the terrain surfaces to provide the 'physical bases' for environmental studies. However, DEM is subject to systematic errors, random noise and outliers. In this paper, a newly developed two dimensional (2-D) Kalman filtering approach to generating optimal estimates of terrain variables from a noisy grid DEM is introduced, whic...

Cities are growing and encountering many changes over time due to population growth and migration. Identification and detection of these changes play important roles in urban management and sustainable development. Urban growth models are divided into two main categories: first cellular models which are further divided into experimental, dynamic, and integrated models and second vector models. ...