A complete framework for hyperbolic acoustic localization with application to northern bobwhite covey calls

IF 5.8 2区 环境科学与生态学 Q1 ECOLOGY Ecological Informatics Pub Date : 2024-10-29 DOI:10.1016/j.ecoinf.2024.102871
Long Duong, Rowdy White, Brad Dabbert, Hamed Sari-Sarraf
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Abstract

Passive monitoring of wildlife has proven to be a highly effective tool in management and conservation. This work describes an end-to-end system for acoustic localization within the context of a specific use case. The system is described in terms of its constituent modules and the functionality of each module, as it relates to the use case of Northern bobwhite (Colinus virginianus) localization, is detailed. First, we address the field deployment of acoustic recorders in terms of optimal configuration, spacing, and number in a manner that is at once utilitarian and mathematically rigorous. Then, we propose novel methods used to automatically detect the calls from recordings, match the detected calls across recordings, and calculate the time difference of arrivals (TDOAs). Finally, a new hyperbolic localization approach is presented that uses the TDOAs to estimate the position of the calls. Each module is formulated within a theoretical framework, implemented numerically in an efficient manner, and shown to compare favorably against existing methods. Moreover, the performance of the complete system is evaluated using field recorded data and the impact of environmental factors such as field relief, vegetation features, and wind speed are illustrated and discussed. We assert and demonstrate that the factor with the most immediate and profound impact on advancing the state of the art in acoustic monitoring of wildlife is open access to high-volume, diverse field data that is accompanied by high-quality ground truth.
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双曲线声学定位的完整框架,应用于北部山喙鹑的叫声
对野生动物的被动监测已被证明是一种非常有效的管理和保护工具。本作品介绍了一种用于特定使用案例的端到端声学定位系统。该系统按其组成模块进行描述,并详细介绍了每个模块的功能,因为这与北方山齿鹑(Colinus virginianus)定位的使用案例有关。首先,我们以一种既实用又数学严谨的方式,从最佳配置、间距和数量的角度探讨了声学记录器的野外部署问题。然后,我们提出了用于自动检测录音中的叫声、匹配不同录音中检测到的叫声以及计算到达时间差(TDOAs)的新方法。最后,我们提出了一种新的双曲定位方法,利用 TDOAs 估算通话的位置。每个模块都是在理论框架内制定的,并以高效的方式进行了数值计算,结果表明与现有方法相比效果更佳。此外,我们还利用现场记录的数据对整个系统的性能进行了评估,并说明和讨论了现场地形、植被特征和风速等环境因素的影响。我们断言并证明,对推动野生动物声学监测技术发展具有最直接、最深远影响的因素是开放获取大量、多样的野外数据,同时提供高质量的地面实况。
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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