A Methodological Framework for Free and Open-Source UAV-Based Archaeological Research.
Full-coverage pedestrian survey to record cultural features on unexplored archaeological landscapes is costly in terms of time, money, and personnel. Over the past two decades, researchers have implemented remote sensing and landscape data collection techniques using unmanned aerial vehicles (UAVs)...
| Publicado en: | Advances in Archaeological Practice Vol. 9; no. 4; pp. 394 - 402 |
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| Autores principales: | , |
| Formato: | Artículo |
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Cambridge University Press
Nov2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=153765884&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153765884 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 23263768 L0CA jtl: Advances in Archaeological Practice issn: 23263768 maglogo: N pubinfo: dt: Nov2021 vid: 9 iid: 4 pid: 15979 pub: Cambridge University Press artinfo: ui: 153765884 10.1017/aap.2021.27 ppf: 394 ppct: 8 formats: tig: atl: A Methodological Framework for Free and Open-Source UAV-Based Archaeological Research. aug: au: Reese, Kelsey M. Field, Sean affil: Department of Anthropology, University of Notre Dame, Notre Dame, IN, USA su: Cultural landscapes Archaeological surveying Digital elevation models Sense data Electronic data processing Remote sensing Computer performance sug: subj: Cultural landscapes Archaeological surveying Digital elevation models Sense data Electronic data processing Remote sensing Computer performance keyword: digital terrain model free and open-source software (FOSS) high-resolution photogrammetry unmanned aerial vehicle (UAV) alta resolución fotogrametría modelo de terreno digital software gratuito y de código abierto (FOSS) vehículo aéreo no tripulado (UAV) ab: Full-coverage pedestrian survey to record cultural features on unexplored archaeological landscapes is costly in terms of time, money, and personnel. Over the past two decades, researchers have implemented remote sensing and landscape data collection techniques using unmanned aerial vehicles (UAVs) to combat some of these burdens, but the initial cost of equipment, software, and processing power has hindered the ubiquitous implementation of UAV technology as an accessible companion tool to traditional archaeological survey. This article presents a free and open-source, technology-independent analytical framework for the collection and processing of UAV images to produce high-resolution digital terrain models limited only by the equipment available to the researcher. Results from the free and open-source protocol are directly compared to those produced using proprietary software to illustrate the capabilities of freely available data processing tools for UAV-collected images. By replicating the methods outlined here, researchers should be able to identify and target areas of interest to increase fieldwork efficiency, decrease costs of implementing this technology, and produce high-resolution digital terrain models to conduct spatial analyses that pursue a deeper understanding of cultural landscapes. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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