Visualization of lidar-derived relief models for detection of archaeological features

Štular, Benjamin; Kokalj, Žiga; Oštir, Krištof; Nuninger, Laure

doi:10.1016/j.jas.2012.05.029

Cited by 144 publications

(93 citation statements)

References 27 publications

(32 reference statements)

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“…Slope (named in this paper SLOPEVIS to avoid confusion with slope as a terrain parameter) is a good compromise between extremely easy computing and reasonable results in most terrain types. Additionally, it is not dependent upon the illumination direction (unlike shading models) and interpretation is straightforward [35]. Local Relief Model or LRM [31] is an upgrade of the classical trend removal technique, considered especially useful for light relief in flat areas [30,34,35].…”

Section: Processing Derived Modelsmentioning

confidence: 99%

“…Additionally, it is not dependent upon the illumination direction (unlike shading models) and interpretation is straightforward [35]. Local Relief Model or LRM [31] is an upgrade of the classical trend removal technique, considered especially useful for light relief in flat areas [30,34,35]. Both VTs are usually classified as DEM-manipulating methods.…”

Section: Processing Derived Modelsmentioning

confidence: 99%

“…Contrast between adjacent cells is probably the most important component of visual detection, because it is the basis of shape and pattern recognition [35]. A good VT should enhance the contrast as much as possible, depending on scale and detection targets.…”

Section: Analytical Approach Processing the Highest Gradient Model (Hmentioning

confidence: 99%

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The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping

et al. 2017

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ALS-derived raster visualization techniques have become common in recent years, opening up new possibilities for subtle landform detection in earth sciences and archaeology, but they have also introduced confusion for users. As a consequence, the choice between these visualization techniques is still mostly supported by empirical knowledge. Some attempts have been made to compare these techniques, but there is still a lack of analytical data. This work proposes a new method, based on gradient modelling and spatial statistics, to analytically assess the efficacy of these visualization techniques. A selected panel of outstanding visualization techniques was assessed first by a classic non-analytical approach, and secondly by the proposed new analytical approach. The comparison of results showed that the latter provided more detailed and objective data, not always consistent with previous empirical knowledge. These data allowed us to characterize with precision the terrain for which each visualization technique performs best. A combination of visualization techniques based on DEM manipulation (Slope and Local Relief Model) appeared to be the best choice for normal terrain morphometry, occasionally supported by illumination techniques such as Sky-View Factor or Negative Openness as a function of terrain characteristics.

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Section: Processing Derived Modelsmentioning

confidence: 99%

Section: Processing Derived Modelsmentioning

confidence: 99%

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The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping

et al. 2017

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“…In this research, it was concluded that SVF is appropriate for general visualizations of heritage, giving a much better impression of the relative elevation of each point. Stular et al [62] suggested several visualization techniques of high resolution DEMs for archaeological features' visual detection and concluded that when archaeologists have to choose a single method, SVF method is endorsed, and the slope gradient is presented as an alternative method. Otherwise, according to the different terrain types, the interpreter must choose the appropriate technique.…”

Section: Heritage Visualization Menumentioning

confidence: 99%

“…Otherwise, according to the different terrain types, the interpreter must choose the appropriate technique. Stular et al [62] showed that the most appropriate is the shift method or trend removal in combination with color cast on flat terrain, SVF on mixed terrain, slope gradient or trend removal on sloped terrain and SVF (blended with slope gradient) on rugged terrain. Following this, the heritage visualization menu was improved in order to perform the different techniques.…”

Section: Heritage Visualization Menumentioning

confidence: 99%

Radio Astronomy Demonstrator: Assessment of the Appropriate Sites through a GIS Open Source Application

Duarte

Teodoro

Maia

et al. 2016

IJGI

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Abstract:In the framework of Portuguese radio astronomical capacitation towards participation in the Square Kilometer Array (SKA) project, a site was selected for radio astronomical testing purposes and the development of a radio astronomical infrastructure. The site is within Herdade da Contenda (HC), a large national forest perimeter, located in Alentejo (Portugal). In order to minimize the impacts in the ecosystem and landscape, an application based on the Geographic Information System (GIS) open source environment was created, the HC Environmental Integrated Management System. This application combines several functionalities and menus with different characterization methods allowing the creation of multiple maps regarding the HC characteristics, such as Digital Elevation Model (DEM), Land Use Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), groundwater vulnerability, erosion risk, flood risk and forest fire risk. Other geographical information can be added if necessary (human heritage visualization and fauna and flora). A decision making support tool was also developed. It incorporates an algorithm running through a series of assigned weights and eliminatory factors to find the locations best suited for the infrastructure with minimal impact to the local ecosystem. In order to test the application and the decision making tool, several maps were used as input in order to decide which sites are more adequate. The application developed can be adopted for other protected or natural areas.

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Digital Models of the Land Surface (Digital Elevation and Terrain Models)

Hesse

2018

The Encyclopedia of Archaeological Sciences

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Topography is perhaps the most important characteristic of the physical environment. It has direct relevance for human activities and also influences a multitude of other parameters, many of which are relevant for the availability and accessibility of resources. Digital models of the land surface thus have enormous analytical and modeling potential with regard to past human–environment interactions. These include, for example, visibility, movement, settlement, and resource exploitation. Different technologies are available for the creation of digital elevation models, of which airborne light detection and ranging (LiDAR) is presently by far the most favored due to canopy penetration, spatial resolution, and availability. High‐resolution, LiDAR‐based digital terrain models are commonly used for archaeological prospection. In combination with advanced visualization techniques, this has contributed to a focus shift from individual sites to archaeological landscapes.

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Visualization of lidar-derived relief models for detection of archaeological features

Cited by 144 publications

References 27 publications

The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping

The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping

Radio Astronomy Demonstrator: Assessment of the Appropriate Sites through a GIS Open Source Application

Digital Models of the Land Surface (Digital Elevation and Terrain Models)

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