Fluvial terrace mapping from ALOS-PALSAR data for archaeological prospection in the middle Uruguay River basin, Argentina

Moritan, Victoria Coll; Brunetto, Ernesto; Angrizani, Rodrigo Costa

doi:10.1016/j.jasrep.2023.103888

Cited by 1 publication

(1 citation statement)

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“…4 The TanDEM-X has a ground resolution of 12 m per pixel (Krieger et al, 2007), facilitating a high-resolution performance in basic and advanced spatial GIS-based analyses, such as the topographic position index, the multiple-direction hillshade and the multiscale relief model (Orengo & Petrie, 2017). In our case, we further processed the TanDEM-X with Geomorphons, a pattern recognition, pixel-based GIS tool designed for morphometric classification and mapping of landforms (Coll Moritan et al, 2023;Jasiewicz & Stepinski, 2013;S ar as ¸an et al, 2020). A buffer of 50 m around each site was created as a sample area for conducting the geomorphometric analysis by comparing all pixel values within the buffering zone and then extracting the dominant class.…”

Section: Digitization and Georeferencing Of Archival Materialsmentioning

confidence: 99%

Integrating legacy survey data into GIS‐based analysis: The rediscovery of the archaeological landscapes in Grevena (Western Macedonia, Greece)

Apostolou,

Venieri,

Mayoral

et al. 2024

Archaeological Prospection

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Surface archaeological survey has been widely established as the principal method for the regional study of Mediterranean diachronic landscapes. Before the introduction of GPS and digital, GIS‐based recordings in the late 1990s, survey projects employed analogue recording strategies (e.g. personal notebooks, printed forms and cartographic materials) resulting in low‐precision spatial datasets. These archives, termed here as legacy survey data, can today be visualized and analysed using computational tools. The aim of the present work is to exemplify how legacy data can be reused and reproduced to explore unknown aspects of past survey projects. It showcases a multi‐source, GIS‐structured workflow to manage and re‐evaluate data from the region of Grevena, north‐western Greece, where a largely unpublished all‐period extensive survey titled the Grevena Project has pinpointed a rich, yet unavailable to the archaeological community cultural record. The publications lacked critical evaluation of the survey results and significance, such as accurate site locations, size and chronology as well as a description of the field collection strategies used. To recover and combine these data into a single geodataset, a three‐step workflow was created, including the systematic recording of collected artefacts, the deployment of archival and remote‐sensing resources (e.g. georeferenced cartographic and photographic materials and satellite imagery) and the development of a new extensive survey in selected areas for validation purposes. Results indicated heterogeneity in the techniques employed by the Grevena Project for site recognition. They also brought an important assemblage of Palaeolithic finds unrecorded before. Furthermore, large‐scale geomorphological analysis using geomorphometric approaches demonstrated an irregularly high density of sites in elevated areas, which is considered a surveying bias. Remote sensing sources including archival aerial photographs highlighted regional landscape changes (e.g. in forest coverage) revealing architectural remains unmapped before. Finally, the new survey around Ayios Georgios showed the discovery of several new sites, emphasizing a case study of much more complex dynamics than originally considered during the Grevena Project.

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