scholarly journals Viewshed simulation and optimization for digital terrain modelling with terrestrial laser scanning

2020 ◽  
Vol 41 (16) ◽  
pp. 6409-6426
Author(s):  
Michael J. Starek ◽  
Tianxing Chu ◽  
Helena Mitasova ◽  
Russell S. Harmon
2011 ◽  
Vol 35 (6) ◽  
pp. 782-809 ◽  
Author(s):  
Johanna Hohenthal ◽  
Petteri Alho ◽  
Juha Hyyppä ◽  
Hannu Hyyppä

During recent decades, the use of high-resolution light detection and ranging altimetry (LiDAR) data in fluvial studies has rapidly increased. Airborne laser scanning (ALS) can be used to extensively map riverine topography. Although airborne blue/green LiDAR can also be utilized for the mapping of river bathymetry, the accuracy levels achieved are not as good as those of terrain elevation measurements. Moreover, airborne bathymetric LiDAR is not yet suitable for mapping shallow water areas. More detailed topographical data may be obtained by fixed-position terrestrial laser scanning (TLS) or mobile terrestrial laser scanning (MLS). One of the newest applications of MLS approaches involves a boat/cart-based mobile mapping system (BoMMS/CartMMS). This set-up includes laser scanning and imaging from a boat moving along a river course and may be used to expand the spatial extent of terrestrial scanning. Detailed digital terrain models (DTMs) derived from LiDAR data can be used to improve the recognition of fluvial landforms, the geometric data of hydraulic modelling, and the estimation of flood inundation extents and fluvial processes.


2016 ◽  
Vol 15 (1) ◽  
pp. 47-59 ◽  
Author(s):  
Tomáš Janata ◽  
Růžena Zimová

<p style="margin-bottom: 0in; line-height: 100%;"><span style="font-family: Times New Roman,serif;">Iconographic sources depicting Thirty Years’ War battlefields in the Czech lands can be found in historical graphic works printed in the most comprehensive documentary publication of the 17</span><sup><span style="font-family: Times New Roman,serif;">th</span></sup><span style="font-family: Times New Roman,serif;"> century, the Theatrum Europaeum. In this publication, the year 1647 is one of the richest in terms of the number of engravings depicting the course of the war. In addition, the Swedish campaign of the same year left behind the most numerous and best preserved traces in the landscape of the Czech lands. The paper focuses primarily on engravings related to war events at the locations of Cheb, Třebel and Teplá. It presents interim results of interdisciplinary research of these iconographic sources, which involves the tools of spatial analyses, digital terrain modelling and also new possibilities of airborne laser scanning data processing. The main aims of the research, which are also being implemented, are the confirmation of depicted localities and their localization; analyses of the scale and geometrical precision of displayed landscape; estimates of visibility and methods of creating the source materials for engravings; and a detailed comparison with other contemporary or current cartographic sources. </span></p>


2020 ◽  
Author(s):  
Maxim Lamare ◽  
Laurent Arnaud ◽  
Ghislain Picard ◽  
Maude Pelletier ◽  
Florent Domine

&lt;p&gt;&lt;span&gt;Climate warming induces shrub expansion on Arctic herb tundra, with effects on snow trapping and hence snow depth. We have used UAV-borne LiDAR and Terrestrial Laser Scanning (TLS) to investigate the impact of shrub height on snow depth at two close sites near Umiujaq, eastern Canadian low Arctic, where dwarf birch and willow shrubs are expanding on lichen tundra. The first site features lichen and high shrubs (50-100 cm), a moderate relief, and a snowpack averaging 95 cm in spring. The second site consists of lichen and low shrubs (20-60 cm), more pronounced topography, and a deeper snowpack (101 cm). Digital Terrain and Surface Models were acquired in early fall to obtain topography and vegetation height. A Digital Surface Model obtained in spring produced snow depth maps at peak depth. TLS over a 400 m&lt;sup&gt;2&lt;/sup&gt; area produced time series of snow depth throughout the winter. TLS data show preferential snow accumulation in shrubs, but also preferential melting in shrubs during fall warm spells and in spring. UAV data at the first site show a strong correlation between vegetation height and snow depth, even after snow depth has exceeded vegetation height. This correlation is not observed at the second site, probably because snow depth there is much greater than vegetation height. These data show the need to reconsider some paradigms on snow-vegetation interactions, for example that vegetation does not affect snow accumulation beyond its height. &lt;/span&gt;&lt;/p&gt;


Author(s):  
Marcin Brach ◽  
Jarosław Chormański

Abstract Terrestrial Laser Scanning (TLS) as a detection method of the natural river valley microtopography - case study of the Upper Biebrza. This paper concerns the use of Terrestrial Laser Scanning (TLS) methods and the Geographic Information Systems (GIS) analysis to determine microtopography of a natural river valley, case study of the upper Biebrza valley. The scientific problem analyzed in this paper is a morphology of the selected segments of the valley covered by sedge ecosystems which in natural stage form a characteristic tussocks from their root systems. In order to capture the microtopography it was necessary to remove vegetation from the selected areas, and then, for a five typical location, registration of its structure using the laser scanner. As a result the point cloud was generated for each of the selected area and after GIS analysis the microtopography was obtained in form of digital terrain model (DTM). The DTM of each area represents valleys microstructure possible to obtain by use of TLS (TLS DTM), is usually not registered by the Airborne Laser Scanning (ALS), and is the main reason of inaccuracy of the DTM obtained based on ALS. The resulting TLS DTM has been processed by various filtering methods to lower the noise and fill the voids from blocking the laser beam by a tussocks. Finally, this allowed to determine the spatial structure of each measurement field.


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