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Lidar Inspection for Indigenous Architecture at Caguana Ceremonial Complex, Borikén

Published online by Cambridge University Press:  02 November 2021

Isabel Rivera-Collazo*
Affiliation:
Anthropology Department and Scripps Institution of Oceanography Human Ecology Laboratory, La Jolla, CA, USA
Eric Rodríguez-Delgado*
Affiliation:
Anthropology Department and Scripps Institution of Oceanography Human Ecology Laboratory, La Jolla, CA, USA
Marisol Rodríguez-Miranda*
Affiliation:
ICF International, Caguas, Puerto Rico
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Abstract

The virtual removal of forest canopies through light detection and ranging (lidar) has enhanced archaeological interpretations of settlement patterns in tropical zones. Although lidar collections of Indigenous landscapes in the Caribbean Archipelago are limited, resolutions from open-access lidar datasets reveal coarse regional settlement patterns and large-scale architecture planning. In this article we inspect the Caguana Ceremonial complex in Utuado, Borikén (Puerto Rico), using a 2016 lidar dataset available through the National Oceanic and Atmospheric Administration portal. Visual comparisons between known Indigenous sites, surface anomalies, and site inspections in the three sectors under study identified plazas, possible ancient paths into the Caguana complex, a possible agricultural area west of the site, and the ANG-4 site. This study, the first application of lidar inspections in Puerto Rican archaeology, demonstrates that open-access data can help guide research and save time in field surveys, thus improving our ability to protect the Indigenous cultural heritage hidden under forest canopies.

La remoción virtual de la cubierta boscosa usando la tecnología láser conocida como lidar (light detection and ranging) ha contribuido a interpretaciones avanzadas sobre patrones de asentamiento en zonas tropicales. Aún cuando la colección de datos lidar para paisajes autóctonos del Archipiélago Caribeño es limitada, la resolución de las bases de datos de acceso libre podría permitir identificar patrones de asentamiento y elementos arquitectónicos de gran escala. En este reporte, inspeccionamos el complejo Ceremonial de Caguana en Utuado, Borikén (Puerto Rico), utilizando una base de datos lidar del 2016 disponible a través del portal de la Administración Nacional Oceánica y Atmosférica (NOAA en inglés). La comparación visual entre sitios conocidos, anomalías superficiales e inspecciones de campo en los tres sectores analizados permitieron la identificación de las plazas, posibles caminos antiguos hacia Caguana, una posible área agrícola al oeste del complejo, y el sitio ANG-4. Este estudio, la primera aplicación de inspección lidar en la arqueología puertorriqueña, demuestra que los datos de acceso libre pueden ayudar a guiar la investigación y ahorrar tiempo en las inspecciones de campo, mejorando de esta forma nuestra habilidad de proteger el patrimonio cultural indígena oculto bajo el dosel del bosque.

Information

Type
Report
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for American Archaeology
Figure 0

Figure 1. Overview of Caguana Complex and types of data analyzed. Focusing on the red square in the hillshade model (upper), the lower three images show (left to right) the aerial photographs, the bare earth model, and Mason's 1941 map of Caguana. (Color online)

Figure 1

Figure 2. Sectors analyzed for this study. (Color online)

Figure 2

Figure 3. Features identified in the lidar data. (Color online)

Figure 3

Figure 4. Draining trench identified by J. Alden Mason in 1914 (drawing by Isabel Rivera-Collazo based on Mason 1941).

Figure 4

Figure 5. Close-up view of Sectors II and III showing the distribution of circular anomalies and possible paths. (Color online)