3.8 Article

Integrating Quantitative Lidar Analysis and Settlement Survey in the Belize River Valley

Journal

ADVANCES IN ARCHAEOLOGICAL PRACTICE
Volume 4, Issue 3, Pages 284-300

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.7183/2326-3768.4.3.284

Keywords

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Categories

Funding

  1. Belize Institute of Archaeology
  2. National Institute for Culture and History (NICH)
  3. Alphawood Foundation
  4. DigitalGlobe Foundation Imagery Grant
  5. National Science Foundation [DGE1255832]
  6. Dissertation Improvement Grant [BCS-1460369]
  7. Penn State Department of Anthropology Hill Fellowship for graduate student research
  8. BVAR field school
  9. University of Pittsburgh Department of Anthropology and Center for Latin American Studies
  10. Tilden Family Foundation
  11. ocial Science Research Council of Canada
  12. Gordon Childe Fund of the University of London
  13. Direct For Social, Behav & Economic Scie
  14. Division Of Behavioral and Cognitive Sci [0940744] Funding Source: National Science Foundation
  15. Directorate For Geosciences
  16. Division Of Earth Sciences [1339015] Funding Source: National Science Foundation
  17. Division Of Behavioral and Cognitive Sci
  18. Direct For Social, Behav & Economic Scie [1450104] Funding Source: National Science Foundation

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Accurate and high-resolution airborne light detection and ranging (lidar) data have become increasingly important for the discovery and visualization of complete archaeological settlement systems in the Maya Lowlands. We present the results of systematic quantitative analysis of lidar data and ground verification for the major centers of Cahal Pech, Baking Pot, and Lower Dover in the Belize Valley. The Belize Valley is characterized by high density populations living in growing modern towns and villages, and by large-scale agricultural production. This urban environment presents a challenge to reconnaissance efforts since modern construction and agricultural activities have destroyed ancient ruins and created new vegetation patterns. Lidar data was analyzed within a GIS using the Topographic Position Index (TPI) to identify the location of possible archaeological remains. Small-scale, site-level TPI analysis helped identify more detailed archaeological features including small house mounds, terraces, and ditches. Results indicate that lidar data recorded for areas with dense vegetation (e.g., low brush and secondary regrowth) may be less reliable for identification of archaeological remains. The quantitative and qualitative differences between spatial analyses and pedestrian survey results among land cover types indicate that traditional settlement pattern study methods, including pedestrian survey, remain vital to ground-truthing all types of spatial data.

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