Extracting low-resolution river networks from high-resolution digital elevation models

Effects of Digital Elevation Models (DEM) Spatial Resolution on Hydrological Simulation

Digital Elevation Model is one of the most important data for watershed modeling whit hydrological models that it has a significant impact on hydrological processes simulation. Several studies by the Soil and Water Assessment Tool (SWAT) as useful Tool have indicated that the simulation results of this model is very sensitive to the quality of topographic data. The aim of this study is evaluati...

Automatic Generation of High Resolution Urban Zone Digital Elevation Models

Deep Neural Networks for Above-ground Detection in Very High Spatial Resolution Digital Elevation Models

Deep Learning techniques have lately received increased attention for achieving state-of-the-art results in many classification problems, including various vision tasks. In this work, we implement a Deep Learning technique for classifying above-ground objects within urban environments by using a Multilayer Perceptron model and VHSR DEM data. In this context, we propose a novel method called M-r...

Extracting Consistent Watersheds from Digital River and Elevation Data

The Terrain Resources Inventory Mapping (TRIM) data standard in BC, Canada, includes speci cations for river data and elevation data that are typically met by interpretation of stereo orthophotos. It does not specify that breaklines for watersheds be interpreted from the photos, thus we must extract them from the data. We seek a system of watersheds that, while not exact due to errors in the da...

Predicting Protein Backbone Chemical Shifts From Cα Coordinates: Extracting High Resolution Experimental Observables from Low Resolution Models

Given the demonstrated utility of coarse-grained modeling and simulations approaches in studying protein structure and dynamics, developing methods that allow experimental observables to be directly recovered from coarse-grained models is of great importance. In this work, we develop one such method that enables protein backbone chemical shifts (1HN, 1Hα, 13Cα, 13C, 13Cβ, and 15N) to be predict...