Data for "Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania"

被引:1
|
作者
Carter, Benjamin [1 ]
机构
[1] Muhlenberg Coll, Allentown, PA 18104 USA
来源
JOURNAL OF OPEN ARCHAEOLOGY DATA | 2019年 / 7卷
基金
美国国家科学基金会;
关键词
Airborne Laser Scanning; ALS; LiDAR; Light Detection and Ranging; FOSS; Charcoal; Iron Production;
D O I
10.5334/joad.53
中图分类号
K85 [文物考古];
学科分类号
0601 ;
摘要
The data and methods described were used to identify charcoal hearths on the Blue Mountain of eastern Pennsylvania. The data is derived from openly available LiDAR data and was modified using LASTools. This data was used to develop a methodology for the identification of charcoal hearths via a digital elevation model, a hillshade model and a slope analysis. This enabled the identification of 758 potential charcoal hearths. Data and detailed methods description are stored in Open Context and Zenodo. The technique used to produce this data has very high reuse potential since the tools employed are all open source and LiDAR data is often openly available for many states within the US, as well as other countries. An article for the journal, Historical Archaeology, that argues for openness in historical archaeology and utilizes this data has been published recently [1].
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Open Source Synergy: Developing and Validating PMU Data Analysis Techniques Using Open Source Tools and Datasets
    Etingov, Pavel
    Follum, Jim
    Biswas, Shuchismita
    Yin, Tianzhixi
    2024 INTERNATIONAL CONFERENCE ON SMART GRID SYNCHRONIZED MEASUREMENTS AND ANALYTICS, SGSMA 2024, 2024,
  • [32] Classification of vegetation in an open landscape using full-waveform airborne laser scanner data
    Alexander, Cici
    Deak, Balazs
    Kania, Adam
    Muecke, Werner
    Heilmeier, Hermann
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2015, 41 : 76 - 87
  • [33] Identifying suitable tools for variant detection and differential gene expression using RNA-seq data
    Dharshini, S. Akila Parvathy
    Taguchi, Y-H
    Gromiha, M. Michael
    GENOMICS, 2020, 112 (03) : 2166 - 2172
  • [34] INTEGRATING RULE-BASED SYSTEMS AND DATA ANALYTICS TOOLS USING OPEN STANDARD PMML
    Li, Yunpeng
    Roy, Utpal
    Lee, Y. Tina
    Rachuri, Sudarsan
    INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2015, VOL 1A, 2016,
  • [35] Data Recovery Comparative Analysis using Open-based Forensic Tools Source on Linux
    Abdillah, Muhammad Fahmi
    Prayudi, Yudi
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (09) : 633 - 639
  • [36] Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine
    Al Moubayed, Noura
    Wall, David
    McGough, A. Stephen
    HUMAN ASPECTS OF INFORMATION SECURITY, PRIVACY AND TRUST (HAS 2017), 2017, 10292 : 287 - 295
  • [37] Identifying Genetic Differences Between Dongxiang Blue-Shelled and White Leghorn Chickens Using Sequencing Data
    Zhao, Qing-bo
    Liao, Rong-rong
    Sun, Hao
    Zhang, Zhe
    Wang, Qi-shan
    Yang, Chang-suo
    Zhang, Xiang-zhe
    Pan, Yu-chun
    G3-GENES GENOMES GENETICS, 2018, 8 (02): : 469 - 476
  • [38] Exploring the effects of coordination and communication tools on the efficiency of open source projects using data envelopment analysis
    Koch, Stefan
    OPEN SOURCE DEVELOPMENT, ADOPTION AND INNOVATION, 2007, 234 : 97 - 108
  • [39] Using crowd-sourced traffic data and open-source tools for urban congestion analysis
    Alkaabi, Khaula
    Raza, Mohsin
    Qasemi, Esra
    Alderei, Hafsah
    Alderei, Mazoun
    Almheiri, Sharina
    TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2024, 28
  • [40] Adding open spectral data to MassBank and PubChem using open source tools to support non-targeted exposomics of mixtures
    Elapavalore, Anjana
    Kondic, Todor
    Singh, Randolph R.
    Shoemaker, Benjamin A.
    Thiessen, Paul A.
    Zhang, Jian
    Bolton, Evan E.
    Schymanski, Emma L.
    ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS, 2023, 25 (11) : 1788 - 1801