A B S T R A C TGoogle Earth Engine (GEE) is an in-development, cloud-based platform providing access to petabytes of satellite imagery data for planetary-scale analysis (Google Earth Engine Team 2015). Combining this massive database with the parallel computing power of Google's infrastructure facilitates quick and easy analysis of satellite imagery on any scale, opening new avenues for research in a number of fields. This paper evaluates the potential role GEE can play in the future of archaeological research. To do so, GEE was employed/tested in two case studies. First, GEE was used to automatically identify specific archaeological features across the landscape of the archaeologically-rich Faynan region of Southern Jordan. Second, GEE-based edge-detection and automatic vectorization for mapping archaeological sites was tested at the Iron Age (ca. 1200-900 BCE) site of Khirbat al-Jariya in Faynan. Based on the test results, the authors concluded that GEE has significant potential for assisting archaeologists with automated feature detection and vectorization, tasks that are often onerous and expensive.
a b s t r a c tCutting-edge photogrammetric techniques combined with traditional methods are a boon for archaeologists interested in performing spatial analyses. Low-altitude aerial photography (LAAP) combined with photogrammetric Image Based Modeling (IBM) comprise a workflow that allows for precise and accurate recording of both photographic and elevation data of archaeological sites with a great deal of speed and efficiency. Through these techniques, the researcher can create spatially-referenced orthophotos and digital elevation models (DEMs), which can serve as the basis for investigations into site formation processes. Due to the rapidity of the creation of these datasets, analysis of site formation processes can be completed over the course of hours or days. The results of such site formation studies can inform and guide further archaeological investigations of sites. This paper presents the application of a combined LAAP-IBM method to acquire GIS data, which serves as the basis for a case study of a new model of the effects of erosion on archaeological sites e a key factor in understanding site formation processes. These methods are applied to Khirbat Nuqayb al-Asaymir, a Middle Islamic site in southern Jordan, as a case study.
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