UAV-Based Remote Sensing for Managing Alaskan Native Heritage Landscapes in the Yukon-Kuskokwim Delta

UAV-Based Remote Sensing for Managing Alaskan Native Heritage Landscapes in the Yukon-Kuskokwim Delta
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DOI:
10.3390/rs14030728
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发表时间:
2022-02
期刊:
Remote. Sens.
影响因子:
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通讯作者:
Jonathan S. Lim;Sean Gleason;Meta Williams;G. L. Matás;Daniel Marsden;Warren Jones
Jonathan S. Lim;Sean Gleason;Meta Williams;G. L. Matás;Daniel Marsden;Warren Jones
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其他
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作者:
Jonathan S. Lim;Sean Gleason;Meta Williams;G. L. Matás;Daniel Marsden;Warren Jones

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Yukon-Kuskokwim(Y-K)三角洲是阿拉斯加原住民Yup'ik人的家园,他们在这个偏远的亚北极苔原上居住了1500多年。今天,他们的祖先生活方式和文化景观正面临与气候变化有关的严重威胁。反过来,我们建议遥感技术,特别是安装在无人机(UAV)平台上的传感器,是唯一适合于保护Yup'ik景观遗产。基于合作,以社区为基础的实地考察,在Quinhagak,AK,我们提出的证据表明,文化遗址,从历史悠久的捕鱼营地,以预接触冬季村庄,展示可预测的非典型植被模式的基础上,当地的生态生物群系。此外,这些植被模式可以记录和统计量化通过分析从无人机安装的传感器获得的多光谱图像与三个不同的假彩色复合光栅和植被指数取决于生物群落类型。最后,我们建议如何将这些方法/工作流程与当地知识结合起来,以监测更广泛的遗产景观,面对气候变化的Yupiit联合收割机。
The Yukon-Kuskokwim (Y-K) Delta is home to the Alaskan Native Yup’ik people who have inhabited this remote, subarctic tundra for over 1500 years. Today, their ancestral lifeways and cultural landscapes are at risk from severe climate change-related threats. In turn, we propose that remote sensing technologies, particularly with sensors mounted on Unmanned Aerial Vehicle (UAV) platforms, are uniquely suited for protecting Yup’ik landscape heritage. Based on collaborative, community-based fieldwork in Quinhagak, AK, we present evidence that cultural sites—ranging from historic fishing camps to pre-contact winter villages—exhibit predictably atypical vegetation patterns based on the local ecological biome. Furthermore, these vegetation patterns can be recorded and statistically quantified through the analysis of multispectral imagery obtained from UAV-mounted sensors with three different false color composite rasters and vegetation indices depending on biome type. Finally, we suggest how the Yupiit can combine these methodologies/workflows with local knowledge to monitor the broader heritage landscape in the face of climate change.