Results 161 to 170 of about 1,178 (191)
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2015
Uncertainty is a very important concept in geomorphometry because it is a key component in quality assessments of any scientific study that utilizes topographic information. Uncertainty exists at all analysis steps of topographic data modeling and analysis including land surface data capture, model generation, preprocessing, and surface analysis and ...
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Uncertainty is a very important concept in geomorphometry because it is a key component in quality assessments of any scientific study that utilizes topographic information. Uncertainty exists at all analysis steps of topographic data modeling and analysis including land surface data capture, model generation, preprocessing, and surface analysis and ...
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Geomorphometry from unmanned aerial surveys
Transactions in GIS, 2017AbstractUnmanned aerial systems (UASs) are widely used for remote sensing, including the production of high‐resolution digital elevation models (DEMs). We study the possibilities of UAS‐based aerial surveys to produce photogrammetrically sound, high‐resolution DEMs intended for geomorphometric modeling.
Igor V. Florinsky +2 more
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Geomorphometry of the deep Gulf of Mexico
2022<p>The Gulf of Mexico is characterized by a high geodiversity that influences hydrodynamics patterns and drives biological and human uses of the seafloor. In 2017, the United States Bureau of Ocean Energy Management released a 1.4-billion-pixel bathymetric dataset of the deep northern Gulf of Mexico, with a pixel size of about 12m.
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Chapter 18 Geomorphometry in RiverTools
2009Publisher Summary RiverTools is a software toolkit with a user-friendly, point-and-click interface that was specifically designed for working with digital elevation models (DEMs) and extracting hydrologic information from them. This chapter aims to provide an overview of what RiverTools can do and how it can be used to rapidly perform a variety of ...
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Chapter 15 Geomorphometry in MicroDEM
2009Publisher Summary MicroDEM is a full-featured geographic information system (GIS), geared for geological applications with digital elevation models (DEMs). It features unique capabilities for computing terrain organization and computing regional geomorphic parameters.
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