Sowing, Monitoring, Detecting: A Possible Solution to Improve the Visibility of Cropmarks in Cultivated Fields
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View abstract on PubMed
Summary
This summary is machine-generated.Integrating drone-based multispectral remote sensing with specific farming methods significantly enhances the detection of archaeological cropmarks. This approach improves accuracy in identifying buried features, offering a more effective non-invasive investigation technique.
Area Of Science
- Archaeological Science
- Agricultural Science
- Remote Sensing
Background
- Traditional remote sensing faces challenges in complex archaeological environments.
- Buried archaeological sites often require advanced detection methods.
- Cropmark visibility is crucial for non-invasive archaeological surveys.
Purpose Of The Study
- To integrate Unmanned Aerial System (UAS)-based multispectral remote sensing with targeted agricultural practices.
- To improve the detection and differentiation of cropmarks in buried archaeological contexts.
- To establish a controlled experimental model for maximizing cropmark visibility.
Main Methods
- Utilized UAS-based multispectral remote sensing and targeted agricultural practices.
- Cultivated barley (Hordeum vulgare L.) under high-density sowing and natural conditions.
- Monitored crop growth and anomalies using a weather station and multispectral imaging.
Main Results
- Achieved enhanced crop uniformity, facilitating cropmark identification.
- Demonstrated significant influence of environmental factors (rainfall, temperature) on crop development and cropmark formation.
- Successfully improved precision and efficiency in non-invasive archaeological investigations.
Conclusions
- Tailored agricultural strategies combined with advanced remote sensing significantly enhance cropmark detection.
- The interdisciplinary approach offers a sustainable and integrative model for future archaeological research.
- Engaged local stakeholders, fostering educational opportunities and community involvement.
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