Research on the Application of Drone Full Airborne Transient Electromagnetic Technology in Goaf Detection

Research on the Application of Drone Full Airborne Transient Electromagnetic Technology in Goaf Detection | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Research on the Application of Drone Full Airborne Transient Electromagnetic Technology in Goaf Detection Zhongmin Tang, Bo Wang, Zhengyu Xu, Zhihong Fu, Meng Wang, Yan Wen, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8586209/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract The drone-borne airborne transient electromagnetic system is characterized by high efficiency, convenient deployment, and strong adaptability, demonstrating broad application prospects in the fine detection of hidden hazards such as goafs. This paper presents the first application of drone-borne airborne transient electromagnetic technology to the detailed detection of underground goafs. First, the world's first drone-borne airborne transient electromagnetic system and its data-processing methods are introduced. Terrain-following flight planning technology is adopted to ensure flight safety and signal quality, while high-performance server parallel computing technology is employed to enhance inversion efficiency. Subsequently, an application analysis of the drone-borne airborne transient electromagnetic system for underground goaf detection is conducted. Based on known data and detection results, it is concluded that there are 10 unfilled goafs or fault fracture zones and 6 fissures or water-bearing fracture zones. The detection results exhibit high anomaly resolution, high field implementation efficiency, and clearly visible details in low-resistivity anomalies. This research provides a novel method and technology for risk assessment of hidden hazards, such as goafs, and for the rapid, efficient, and detailed exploration of mineral resources. Drone Airborne Transient Electromagnetic Method lead-zinc ore goaf fine detection Application Analysis Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 20 Feb, 2026 Reviewers invited by journal 08 Feb, 2026 First submitted to journal 18 Jan, 2026 Editor assigned by journal 14 Jan, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8586209","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":587719740,"identity":"d7d7a481-f48f-46e5-8f86-5ee1e6bfd795","order_by":0,"name":"Zhongmin Tang","email":"","orcid":"","institution":"PowerChina Chengdu Engineering Corporation Limited","correspondingAuthor":false,"prefix":"","firstName":"Zhongmin","middleName":"","lastName":"Tang","suffix":""},{"id":587719741,"identity":"e0babef2-41b7-4d8b-96c7-593ee7e8f8e4","order_by":1,"name":"Bo Wang","email":"","orcid":"","institution":"PowerChina Guiyang Engineering Corporation 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