Building Cultural Heritage Resilience through Remote Sensing: An Integrated Approach Using Multi-Temporal Site Monitoring, Datafication, and Web-GL Visualization
| Autor: | Gerardo Jiménez Delgado, Nicola Lercari, Arianna Campiani, Denise Jaffke, Anaïs Guillem, Scott McAvoy, Alexandra Bevk Neeb |
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| Přispěvatelé: | Lercari, Nicola, Jaffke, Denise, McAvoy, Scott, Campiani, Arianna, Jiménez Delgado, Gerardo |
| Jazyk: | angličtina |
| Předmět: |
Geospatial analysis
010504 meteorology & atmospheric sciences Computer science Science computer.software_genre 01 natural sciences Bodie drones close-range photogrammetry 11. Sustainability WebGL cultural heritage resilience digital site monitoring datafication 0601 history and archaeology California heritage Resilience (network) 0105 earth and related environmental sciences Remote sensing 060102 archaeology Datafication laser scanning M3C2 surface change detection 06 humanities and the arts Visualization Cultural heritage Photogrammetry Workflow Remote sensing (archaeology) General Earth and Planetary Sciences computer |
| Zdroj: | Remote Sensing Volume 13 Issue 20 Pages: 4130 Remote Sensing, Vol 13, Iss 4130, p 4130 (2021) |
| ISSN: | 2072-4292 |
| DOI: | 10.3390/rs13204130 |
| Popis: | In the American West, wildfires and earthquakes are increasingly threatening the archaeological, historical, and tribal resources that define the collective identity and connection with the past for millions of Americans. The loss of said resources diminishes societal understanding of the role cultural heritage plays in shaping our present and future. This paper examines the viability of employing stationary and SLAM-based terrestrial laser scanning, close-range photogrammetry, automated surface change detection, GIS, and WebGL visualization techniques to enhance the preservation of cultural resources in California. Our datafication approach combines multi-temporal remote sensing monitoring of historic features with legacy data and collaborative visualization to document and evaluate how environmental threats affect built heritage. We tested our methodology in response to recent environmental threats from wildfire and earthquakes at Bodie, an iconic Gold Rush-era boom town located on the California and Nevada border. Our multi-scale results show that the proposed approach effectively integrates highly accurate 3D snapshots of Bodie’s historic buildings before/after disturbance, or post-restoration, with surface change detection and online collaborative visualization of 3D geospatial data to monitor and preserve important cultural resources at the site. This study concludes that the proposed workflow enhances the monitoring of at-risk California’s cultural heritage and makes a call to action to employ remote sensing as a pathway to advanced planning. |
| Databáze: | OpenAIRE |
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