학술논문

Testing Web Mapping and Active Learning to Approach Lidar Data.
Document Type
Article
Source
Advances in Archaeological Practice. Feb2020, Vol. 8 Issue 1, p25-39. 15p.
Subject
*LIDAR
*ACTIVE learning
*STUDENT volunteers
*TRAINING of volunteers
*ARCHAEOLOGISTS
Language
ISSN
2326-3768
Abstract
After acquiring 91 km2 of lidar data from the Zacapu region, West Mexico, we confronted a series of issues that most archaeologists using this technology face. These include the large volume of data available, the limited training of potential "analysts," the difficult development of a collective mapping tool and protocol, and the reliability of desk-based interpretation of archaeological features. In this article, we present an initiative conducted in 2015 and 2017 as an attempt to answer these methodological and pedagogical issues. We developed a web mapping platform to collectively interpret archaeological features using lidar-derived imagery and to train volunteer students to participate in this desk-based web mapping within a crowdsourcing framework. After evaluating the results of this initiative, we discuss the potential and limitations of this method for both lidar-based research and future training. [ABSTRACT FROM AUTHOR]