The Utilization of LiDAR to Detect Small Scale Archaeological Features
利用激光雷达探测小规模考古特征
基本信息
- 批准号:1659000
- 负责人:
- 金额:$ 14.36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-07-15 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Humans have been modifying the landscapes in which they live for millennia. This is something that is easier to see, and so appreciate, when it is done on a large scale, such as the ancient pyramids of Egypt or the stone cities of the Inca or even the buildings and roads one lives in and moves through every day. While these more obvious changes to the environment are critical to understand, most societies did not leave such major modifications behind but they nevertheless altered their landscapes on a regular basis. Such smaller and more practical modifications, although once numerous, are today much less obvious. In order to gain a full appreciation of the ability of humans to transform their surroundings in order to sustain their well-being, it is important to investigate these changes as well. Archaeology, working with the natural sciences, is positioned to bring to light new understandings of the extent and scope of these impacts. An especially powerful interdisciplinary tool for better understanding how past societies skillfully shaped the world for their needs is Airborne LiDAR (Light Detection And Ranging), which creates detailed terrain maps suitable for finding small, microtopographic impressions on the ground. This project uses publically available LiDAR to detect a poorly understood set of subtle archaeological features. The research program will provide key opportunities for undergraduate students to become involved directly in hands-on interdisciplinary research. The project will also collaborate with local tribal communities on using LiDAR for cultural heritage management, exploring this tool as a non-destructive and efficient approach to recording significant cultural features before potential destruction by ongoing modern development.Drs. Howey and Palace and their research team will expand on their recent work with LiDAR to study the ways past societies shaped their landscapes to help them through times of scarcity by building food storage facilities. During the period just before European Contact, called the Late Precontact period (ca. AD 1200-1600), relatively low-density hunter-gatherer and early farming societies in the northern Great Lakes region began building subterranean food storage pits called cache pits to respond to risk and uncertainty in their subsistence systems. Archaeologists first recorded small circular depressions that are remnants of cache pits over 100 years ago but the full extent of the practice of building and storing food in cache pits remains unknown. By developing and applying a cache pit detection routine to all available LiDAR data from the Michigan Statewide Authoritative Imagery & LiDAR (MiSAIL) collection program in the northern Lower Peninsula and eastern Upper Peninsula and a system of ground-truthing field surveys, the research program will produce the first-ever systematic landscape-scale record of cache pit archaeological features in the northern Great Lakes region. The results will be used to assess how communities positioned cache pits in response to the mutually interlocking social, economic, and ecological stressors of Late Precontact. The case study will contribute to the growing appreciation of the capacity of small-scale societies to shape their environment for their survival, including through complicated food storage practices.
几千年来,人类一直在改变他们居住的环境。这是一种更容易看到,也更容易欣赏的东西,当它被大规模地完成时,比如埃及的古金字塔或印加的石城,甚至是人们每天居住和经过的建筑和道路。虽然这些更明显的环境变化对理解至关重要,但大多数社会并没有留下这些重大的变化,但他们仍然定期改变他们的景观。这种更小更实际的修改,虽然曾经有很多,但今天已经不那么明显了。为了充分认识人类改变环境以维持其福祉的能力,调查这些变化也很重要。考古学与自然科学相结合,将为这些影响的程度和范围带来新的认识。机载激光雷达(光探测和测距)是一个特别强大的跨学科工具,可以更好地理解过去的社会如何巧妙地根据他们的需求塑造世界,它可以创建详细的地形图,适合在地面上寻找微小的微地形印象。该项目使用公开的激光雷达来探测一组鲜为人知的微妙考古特征。该研究项目将为本科生提供直接参与跨学科研究的重要机会。该项目还将与当地部落社区合作,利用激光雷达进行文化遗产管理,探索这种工具作为一种非破坏性和有效的方法,在持续的现代发展可能破坏之前记录重要的文化特征。Howey和Palace及其研究团队将扩展他们最近使用激光雷达的工作,研究过去社会如何塑造他们的景观,通过建造食物储存设施来帮助他们度过稀缺时期。在欧洲人接触之前的一段时期,被称为晚期前接触时期(约公元1200-1600年),大湖北部地区相对低密度的狩猎采集者和早期农业社会开始建造地下食物储存坑,称为贮藏坑,以应对他们生存系统中的风险和不确定性。考古学家在100多年前首次记录了小的圆形洼地,这些洼地是贮藏坑的残余,但在贮藏坑中建造和储存食物的全部实践仍然未知。通过在北下半岛和东上半岛的密歇根州权威图像和激光雷达(MiSAIL)收集项目中开发和应用一个缓存坑探测程序,并将其应用于所有可用的激光雷达数据,以及一个地面实地调查系统,该研究项目将产生第一个系统的大湖区北部缓存坑考古特征的景观尺度记录。研究结果将用于评估群落如何定位缓存坑,以应对晚期前接触期相互关联的社会、经济和生态压力。该案例研究将有助于人们日益认识到小规模社会通过复杂的粮食储存做法等方式塑造其生存环境的能力。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Unbinding Diversity Measures in Archaeology Using GIS
使用 GIS 解除考古学多样性措施的约束
- DOI:10.5334/jcaa.55
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Burg, Marieka Brouwer;Howey, Meghan
- 通讯作者:Howey, Meghan
Remotely Sensed Big Data and Iterative Approaches to Cultural Feature Detection and Past Landscape Process Analysis
遥感大数据和迭代方法进行文化特征检测和过去的景观过程分析
- DOI:10.1080/00934690.2020.1713435
- 发表时间:2020
- 期刊:
- 影响因子:1.9
- 作者:Howey, Meghan C.;Sullivan, Franklin B.;Burg, Marieka Brouwer;Palace, Michael W.
- 通讯作者:Palace, Michael W.
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Meghan Howey其他文献
emJAA/em and Archaeology: A forty year odyssey
- DOI:
10.1016/j.jaa.2022.101419 - 发表时间:
2022-06-01 - 期刊:
- 影响因子:2.200
- 作者:
Meghan Howey;M. Anne Katzenberg;George R. Milner;John O'Shea;Robert Whallon - 通讯作者:
Robert Whallon
To address the Anthropocene, engage the liberal arts
- DOI:
10.1016/j.ancene.2017.06.002 - 发表时间:
2017-06-01 - 期刊:
- 影响因子:
- 作者:
Heidi Bostic;Meghan Howey - 通讯作者:
Meghan Howey
Meghan Howey的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Meghan Howey', 18)}}的其他基金
Collaborative Research: Long-term Anthropogenic Influences on the Crater Lake Environmental Landscape of Western Uganda
合作研究:长期人为影响乌干达西部火山口湖环境景观
- 批准号:
1238373 - 财政年份:2012
- 资助金额:
$ 14.36万 - 项目类别:
Standard Grant
Investigating Late Prehistory in the Landscapes of Douglas Lake, Michigan
调查密歇根州道格拉斯湖景观中的史前晚期
- 批准号:
0851096 - 财政年份:2009
- 资助金额:
$ 14.36万 - 项目类别:
Standard Grant
相似国自然基金
复杂地形/复杂森林场景下光子LiDAR生物量估计方法研究
- 批准号:2025JJ50203
- 批准年份:2025
- 资助金额:0.0 万元
- 项目类别:省市级项目
融合星载LiDAR和PolSAR数据的复杂地形条件下森林高度反演
- 批准号:2025JJ80003
- 批准年份:2025
- 资助金额:0.0 万元
- 项目类别:省市级项目
基于屋顶细粒度结构线的机载LiDAR点云建筑物三维重建研究
- 批准号:JCZRYB202501037
- 批准年份:2025
- 资助金额:0.0 万元
- 项目类别:省市级项目
空地多平台影像与LiDAR点云集成的建筑物三维重建
- 批准号:
- 批准年份:2024
- 资助金额:15.0 万元
- 项目类别:省市级项目
基于LiDAR提取植株三维参数的玉米关键生育时期精准监测
- 批准号:42301427
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
单波段机载LiDAR测深的瞬时海面确定及光线追踪
- 批准号:42304051
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于高光谱和LiDAR的黄河流域湿地净初级生产力的精确估算
- 批准号:42301444
- 批准年份:2023
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
无人机LiDAR和高光谱协同的树种智能分类关键方法
- 批准号:42371447
- 批准年份:2023
- 资助金额:46.00 万元
- 项目类别:面上项目
融合LiDAR点云与iGPS数据的装配过程机身无监督三维快速重构与在线形态调控研究
- 批准号:
- 批准年份:2023
- 资助金额:0.0 万元
- 项目类别:省市级项目
星载LiDAR辅助卫星立体影像提取DEM方法及其活动构造应用研究
- 批准号:42301445
- 批准年份:2023
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
相似海外基金
LiDARを用いた風力発電機周辺の鳥類の飛翔軌跡取得とヒューマンエラーの定量化
使用激光雷达获取风力发电机周围鸟类的飞行轨迹并量化人为错误
- 批准号:
24K15380 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
ハードウェア・ソフトウェア協調設計によるセキュアLiDARの創出
通过软硬件协同设计创建安全的激光雷达
- 批准号:
24K02940 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
光相関領域計測法の理論基盤の構築と高性能LiDARへの展開
为光学相关区域测量方法奠定理论基础并将其发展为高性能激光雷达
- 批准号:
24KJ0908 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Grant-in-Aid for JSPS Fellows
三次元ヘテロジニアス集積技術を用いた1チップLiDARの開発
利用3D异构集成技术开发1芯片LiDAR
- 批准号:
23K26166 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
FlexNIR-PD: A resource efficient UK-based production process for patented flexible Near Infrared Sensors for LIDAR, Facial recognition and high-speed data retrieval
FlexNIR-PD:基于英国的资源高效生产工艺,用于 LIDAR、面部识别和高速数据检索的专利柔性近红外传感器
- 批准号:
10098113 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Collaborative R&D
LiDARと偏光カメラを用いた透明物体存在環境におけるSLAM
使用 LiDAR 和偏振相机在透明物体环境中进行 SLAM
- 批准号:
23K24922 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
EAGER: IMPRESS-U: Exploratory Research on Generative Compression for Compressive Lidar
EAGER:IMPRESS-U:压缩激光雷达生成压缩的探索性研究
- 批准号:
2404740 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Standard Grant
LOTIS - Lidar fOr deTailed Inspection of underwater Structures
LOTIS - 用于水下结构详细检查的激光雷达
- 批准号:
10089064 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Collaborative R&D
Intelligently Scalable Multiple Light Sources for Parallel Coherent LiDAR
用于并行相干激光雷达的智能可扩展多光源
- 批准号:
23K22760 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
衛星精密測位を用いた、LiDARとドローン空撮による空間情報の高精度な統合手法の研究
卫星精密定位激光雷达与无人机航拍空间信息高精度融合方法研究
- 批准号:
24K07718 - 财政年份:2024
- 资助金额:
$ 14.36万 - 项目类别:
Grant-in-Aid for Scientific Research (C)














{{item.name}}会员




