1. Testing Web Mapping and Active Learning to Approach Lidar Data.
- Author
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Forest, Marion, Costa, Laurent, Combey, Andy, Dorison, Antoine, and Pereira, Grégory
- Subjects
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LIDAR , *ACTIVE learning , *STUDENT volunteers , *TRAINING of volunteers , *ARCHAEOLOGISTS - 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]
- Published
- 2020
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