I Walked, I Saw, I Surveyed, but what did I see?…and what did I survey?

Halliday, Stratford

doi:10.2307/j.ctvh1dqdz.10

Cited by 10 publications

(11 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Those material remains may be visible on the ground as soil marks or crop marks (Rączkowski, ), others alter the topography (Opitz & Cowley, ), while some might be invisible unless a ground penetrating remote sensing technique is applied (Herbich, ). To holistically ‘see’ the landscape the combination of different techniques that sense different bands in this wide spectrum of possibilities is required, as well as bringing together researchers who have different experience levels, as a surveyor's background has serious implications for their utility on survey (Halliday, ). I see the role of RPASs as that of tools to survey small‐ and medium‐scale landscapes when (a) DEM can reveal anthropogenic changes in the topography or (b) archaeological features can be seen from low altitudes.…”

Section: Discussionmentioning

confidence: 99%

“…I see the role of RPASs as that of tools to survey small‐ and medium‐scale landscapes when (a) DEM can reveal anthropogenic changes in the topography or (b) archaeological features can be seen from low altitudes. Halliday () argues that archaeologists create narratives about the landscape while being in the field. However, development of new surveying methods, such as RPASs, change this routine and move interpretation work into offices.…”

Section: Discussionmentioning

confidence: 99%

“…ceramic sherds (Kiarszys, ), or landscape modifications, e.g. ditches or ramparts, visible from the ground (Halliday, ). However, many archaeological sites, including the four that are discussed here, are in inaccessible places, for example on remote islands, or on a steep cliff edge.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mapping the Inhospitable Landscapes of the Orkney Islands using RPAS

Hanus

2017

Archaeological Prospection

View full text Add to dashboard Cite

This paper reports the outcome of the RPAS-based prospection of four prehistoric and early historic sites on Mainland, Rousay and South Ronaldsay Islands of the Orkney archipelago (Northern Scotland). Application of RPAS (Remotely Piloted Aircraft System) improved the effectiveness and accuracy of the mapping of the archaeological landscape, comparing to the ground-base survey. The paper presents the workflow used to obtain the low altitude images using RPAS and photogrammetric pipeline applied to create ortophotomaps and digital elevation models.Then the interpretation of mapped remnants at the sites of Brough of Deerness, Burrian, Hashwick and Burwick is discussed. Beside reporting the new datasets for the Orkney the author is clarifying the problem of surveying "the inhospitable" landscapesthe areas that for different reasons might be difficult to access by survey using ground-based methods. Therefore Remotely Piloted Aircraft Systems are advocated as a solution in such challenging conditions. KEYWORDS remotely piloted aircraft system, inhospitable landscapes, Scotland

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Mapping the Inhospitable Landscapes of the Orkney Islands using RPAS

Hanus

2017

Archaeological Prospection

View full text Add to dashboard Cite

show abstract

“…Modern landscapes are characterized by a complex evolutionary process whose palimpsestic traces may be very hard to distinguish. Remote sensing techniques possess intrinsic capabilities of object/pattern/scenery recognition and a higher predictive and discriminatory potential that may help to improve the comparability of the analytical data, to reduce the processing time and to avoid errors and bias that can affect the classical archaeological photo‐interpretation (Halliday, ).…”

Section: Introductionmentioning

confidence: 99%

Object‐based Shell Craters Classification from LiDAR‐derived Sky‐view Factor

Magnini

Bettineschi

Guio

2016

Archaeological Prospection

View full text Add to dashboard Cite

This paper presents the results of the first attempt to assess, identify and quantify the residual number of shell craters of World War I currently present in the Vezzena/Luserna/Lavarone Plateau, areas of Millegrobbe, Bisele and Cima Campo (Province of Trento, Italy). Historical sources report the existence of several thousand artillery explosions: therefore, a field survey or a classic photo-interpretation would be labour-intensive and highly time-consuming. For this reason, a digital terrain model (DTM) of the test-site was processed using the Sky-view Factor algorithm and was analysed with an object-based approach, which implied: (1) multiresolution segmentation; (2) classification (main features considered size, shape and colour). The automatically classified shell craters were thus verified during an in situ survey that determined the accuracy of the method in the order of 84% of the total occurrences.

show abstract

“…Beyond the problems introduced by the visual characteristics of paths' physical remains and the concentration of visual attention (Halliday 2013), a conceptual problem is present because not all pathways are necessarily recognized as such, since the primary function of the pathway-features may not be related to movement. Field boundaries or terraces, for example, are not designed as movement arteries, yet can develop into paths that connect settlements and fields (Leturcq 2008;Williamson 2016).…”

Section: Characterizing the Observational Datamentioning

confidence: 99%

Developing FAIR Ontological Pathways: Linking Evidence of Movement in Lidar to Models of Human Behaviour

Nuninger

Opitz

Verhagen

et al. 2020

Journal of Computer Applications in Archaeology

View full text Add to dashboard Cite

This paper proposes an ontological approach to connect the archaeological topographic evidence for movement in the landscape which can be derived from interpretation and spatial analysis of airborne lidar data with models of movement derived from modeling exercises such as Agent Based Modelling or Cost Path Modelling. This computational ontology enables the investigation of movement and its topographic manifestations in the landscape at various spatio-temporal scales. It creates an explicit framework for accessing meaningful information about movement generated through research using both detection and modelling-led approaches. Developing explicit computational frameworks to provide meaningful context is critical, particularly as remote sensing and modelling projects increase in scale and complexity. The process of developing a computational ontology exposes a deeper underlying issue, and one applicable to many topics we address as archaeologists: if we begin to unpack the concept of 'movement' it is readily apparent that it is a complex phenomenon, like many human habits, and studying it requires drawing together a variety of types of physical evidence and multiple, often competing, theoretical models of human processes and practices. If we wish to make archaeological 'data' on movement available, how do we create appropriate contextual information -really useful metadata -so that this data can be incorporated into the variety of studies for which knowledge of movement is relevant? This is essentially the challenge posed broadly by the FAIR principles, and in particular by the principle of interoperability, which suggests that we "use a formal, accessible, shared, and broadly applicable language for knowledge representation". Rather than simply seeking to fulfill the requirements of an arbitrary standard, attempting to meet the challenge of interoperability provides an impetus and opportunity to attempt to bridge the gap between data and model, and to reconsider how we conceive and represent knowledge in archaeological digital data and modelling projects. This kind of computational ontology, we suggest, can serve as the key for making the data from both these sources actually FAIR.

show abstract

I Walked, I Saw, I Surveyed, but what did I see?…and what did I survey?

Cited by 10 publications

References 0 publications

Mapping the Inhospitable Landscapes of the Orkney Islands using RPAS

Mapping the Inhospitable Landscapes of the Orkney Islands using RPAS

Object‐based Shell Craters Classification from LiDAR‐derived Sky‐view Factor

Developing FAIR Ontological Pathways: Linking Evidence of Movement in Lidar to Models of Human Behaviour

Contact Info

Product

Resources

About