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Identifying Landscape Modification using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania

  • Benjamin P. CarterEmail author
Technical Brief

Abstract

In this technical brief I demonstrate two methodological points broadly relevant to historical archaeologists. While light detection and ranging (LiDAR), also known as airborne laser scanning (ALS), has been widely used to identify prehistoric archaeological sites, its use in historical archaeology could be expanded. LiDAR data are particularly valuable because they are frequently open access. By coupling open LiDAR data with open source software one can quickly, easily, and inexpensively identify historical landscape modification. I present an illustrative example, the identification of charcoal hearths in Pennsylvania, along with tools and techniques used to carry out the research. This method has allowed us to identify 758 charcoal hearths within a 74 km2 research area along the Blue Mountain of northeastern Pennsylvania.

Keywords

LiDAR open source software open access data charcoal hearths Blue Mountain, PA FOSS charcoal industry iron industry 

Abstracto

En este documento técnico, demuestro dos puntos metodológicos ampliamente pertinentes para los arqueólogos históricos. Aunque la detección y medición por ondas luminosas (LIDAR, por sus siglas en inglés), que también se conoce como el escaneo láser aerotransportado (ALS), se ha utilizado ampliamente para identificar sitios arqueológicos prehistóricos, su uso en la arqueología histórica podría ampliarse. Los datos LiDAR son particularmente valiosos porque son frecuentemente de acceso abierto. Al combinar los datos LiDAR abiertos con software de fuente abierta se puede identificar de forma rápida, sencilla y económica las modificaciones de paisajes históricos. Presento aquí un ejemplo ilustrativo, la identificación de fogones de carbón en Pensilvania, junto con las herramientas y técnicas que se utilizaron para llevar a cabo la investigación. Este método nos ha permitido identificar 758 fogones de carbón dentro de un área de investigación de 74 km2 a lo largo de Blue Mountain en el noreste de Pensilvania.

Résumé

Dans ce mémoire technique, je présente deux points méthodologiques largement pertinents pour les archéologues historiques. Tandis que la détection et télémétrie par ondes lumineuses (LiDAR), aussi appelée numérisation atmosphérique au laser (ALS) est intensément utilisée pour identifier les sites archéologiques historiques, son utilisation en archéologie historique pourrait prendre de l’envergure. Les données LiDAR sont particulièrement utiles, car leur accès est souvent ouvert. En couplant les données LiDAR ouvertes à un logiciel ouvert, on pourrait aisément, rapidement et à faible coût identifier les modifications paysagères historiques. Pour illustrer ce concept, je présente l’exemple de l’identification de creusets de charbon en Pennsylvanie, ainsi que les outils et techniques utilisés pour mener à bien la recherche. Cette méthode nous a permis d’identifier 758 creusets dans une aire de recherche de 74 km2 le long de la Blue Mountain, au nord-est de Pennsylvanie aux É.-U.

Notes

Acknowledgments:

The author wishes to thank the students at Muhlenberg College who worked on this project. In particular, Heather Lash painstakingly identified the charcoal hearths from the slope analysis. Tim Clarke of the Digital Learning Team at Muhlenberg has supported this work through his deep understanding of the structures and meanings of digital data. I would like to thank the organizers (Ethan Watrall and Lynne Goldstein of Michigan State University), staff, and participants in the Institute on Digital Archaeology Method and Practice (funded by the National Endowment for the Humanities) for creating a dynamic community of archaeologists interested in opening archaeology. Additionally, my work with LASTools was made possible by participation in the National Science Foundation NEON Workshop: Topographic, Geomorphic, and Vegetation Analysis with LiDAR instructed by Chris Crosby (UNAVCO), Ramon Arrowsmith (Arizona State University), Tristan Goulden (NEON), Shelley Petroy (NEON), and Nancy Glenn (Boise State). I would also like to thank the Provost’s Office, the Dean of Digital Learning, and the Sociology and Anthropology Department for support of this project. The author thanks the anonymous peer reviewers who spent their valuable time providing insightful and valuable feedback.

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Copyright information

© Society for Historical Archaeology 2019

Authors and Affiliations

  1. 1.Department of Sociology and AnthropologyMuhlenberg CollegeAllentownU.S.A.

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