FMQF Technical Record 3 - Automated identification of mining features using Light Detection and Ranging (LiDAR) data – Stage 2
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Product description:Executive Summary:A Light Detection and Ranging (LiDAR) dataset of mine shafts and surface workings (mining features) has been developed as part of the Former Mines and Quarries Framework (FMQF) program. The FMQF aims to deliver a state-wide management framework for abandoned and legacy mines and quarries on Crown land in Victoria. This report details the application of a bespoke automated process, developed by WSP Global Inc., to detect former mining features on Crown land in the Greater Melbourne and Central Goldfields regions on the lands of the Bunurong, Wotjobaluk, Jaadwa, Jadawadjali, Wergaia, Jupagulk, Dja Dja Wurrung, Taungurung, Wadawurrung, and Wurundjeri peoples. This work was undertaken following the successful pilot study in the Golden Plains region, over the lands of the Dja Dja Wurrung, Eastern Maar, Wadawurrung, and Wurundjeri peoples. This automated method integrates LiDAR and LiDAR-derived Digital Elevation Models (DEMs) with geographic and geological overlays to address the inherent complexities of mining feature detection. A detector-classifier stack was used to identify potential mining features and predict their depth and feature type. The method was evaluated for its accuracy and precision to identify verified mining features. Using this process, 129,060 mining features were identified across 17 LiDAR surveys and incorporated into the FMQF consolidated database. This is a significant increase from the 18,347 features previously recorded and held in the historic database over the study area. In total, 203,490 features have been added to the database through LiDAR interpretation and machine learning. This study demonstrates the value of applying innovative techniques to improve the accuracy of historical data and uncover previously unrecorded mining features. Bibliographic Reference: Silver, E.R., Dang, L.H., Eid, R., Herley, S.S., Riley, C.P. & Tran, L.V., 2025. Automated identification of mining features using Light Detection and Ranging (LiDAR) data – Stage 2 Greater Melbourne and Central Goldfields, Victoria. Former Mines and Quarries Framework Technical Report 3. Geological Survey of Victoria, Department of Energy, Environment and Climate Action, 26 pp. Download: The downloadable version of this report is supplied as (PDF 5 MB) and Attachment A1 data (ZIP 42 MB). Related products: | ||||||
