研究目的
To report the results of drone lidar survey at a high-elevation archaeological site in the Chachapoyas region of Peruvian Amazonia, demonstrating its ability to capture architectural complexity and variability that was obscured in previous models.
研究成果
The high-resolution ground model of Kuelap, generated from drone lidar data, revealed dimensions of variability in domestic architecture at the site that were obscured in previous models. Spatial analysis of these attributes enabled the production of new hypotheses about the site’s construction history and social organization.
研究不足
The study faced challenges such as limited battery life of UAVs, restrictions on the import and deployment of larger drones, and the difficulty of finding open areas for flight in heavily forested terrain. Additionally, the resolution of the model was variable, with some internal wall surfaces not captured in great detail.
1:Experimental Design and Method Selection:
The study employed drone lidar survey to capture high-density measurements of the archaeological site at Kuelap.
2:Sample Selection and Data Sources:
The site of Kuelap, a high-elevation archaeological site in the Chachapoyas region of Peruvian Amazonia, was selected for its architectural complexity and previous ground level surveys.
3:List of Experimental Equipment and Materials:
The instrumentation included a hyperspectral imager, a lidar sensor, and a GPS-IMU flown on a commercial hexacopter.
4:Experimental Procedures and Operational Workflow:
Survey flights were flown under automatic control, using the UgCS flight control program, covering the survey area in parallel flight paths with approximately 40% overlap.
5:Data Analysis Methods:
Both automated and manual processing methods were used to produce a model of the ground and architectural structures at Kuelap using free and open-source tools.
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