Developing multi-sensor drones for geological mapping and mineral exploration: setup and first results from the MULSEDRO project

Heincke, Björn; Jackisch, Robert; Saartenoja, Ari; Salmirinne, Heikki; Rapp, Sönke; Zimmermann, Robert; Pirttijärvi, Markku; Sørensen, Erik Vest; Gloaguen, Richard; Ek, Lisa; Bergström, Johan; Karinen, A.; Salehi, Sara; Madriz, Yuleika; Middleton, Maarit

doi:10.34194/geusb-201943-03-02

Cited by 21 publications

(16 citation statements)

References 9 publications

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“…Many researchers have adopted a commercial multi-rotor UAV as a platform, which is the DJI Phantom Pro v2, for different applications [26][27][28][29] and hence it has been selected in this research. A network of autonomous commercially available DJI Phantom Pro v2 quadcopter drones creates a swarm consisting of one Leader Drone (LD) and many Slave Drones (SDs), specifications are illustrated in Table 2 [30].…”

Section: • the Proposed Platform Specificationsmentioning

confidence: 99%

A Modified Portable Health Clinic System for Coronavirus Hotspot Areas

Qassab

Ali

2022

Preprint

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This study applied the World Health Organization (WHO) guidelines to redesign the Portable Health Clinic (PHC), as a Remote Healthcare System (RHS), for the spread of COVID-19 containment. Additionally, the proposed system not only collects people data but also classifies the case according to the the main symptoms of coronavirus using the COVID-19 triage process (CT-process) based on the analysis of measurement readings taken from patients, where drones are used as a PHC platform and are equipped with the required sensors and essential COVID-19 medications for testing and treating people at their doorstep autonomously when a full curfew is imposed.

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Section: • the Proposed Platform Specificationsmentioning

confidence: 99%

A Modified Portable Health Clinic System for Coronavirus Hotspot Areas

Qassab

Ali

2022

Preprint

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“…Colomina and Molina (2014) described the fundamental characteristics of some common and representative sensors including visible-band, near-infrared, thermal, multiand hyper-spectral cameras, laser scanners, and synthetic aperture radars for UAVs. Heincke et al (2019) developed multi-sensor drones for geological mapping and mineral exploration with a new integrated positioning system that is not based on GPS. This allows precise positioning across areas with low GPS reception, such as mine tunnels and narrow valleys.…”

Section: Drone-based Datamentioning

confidence: 99%

A review of machine learning in processing remote sensing data for mineral exploration

Shirmard,

Farahbakhsh,

Muller

et al. 2021

Preprint

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As a primary step in mineral exploration, a variety of features are mapped such as lithological units, alteration types, structures, and minerals. These features are extracted to aid decision-making in targeting ore deposits. Different types of remote sensing data including satellite optical and radar, airborne, and drone-based data make it possible to overcome problems associated with mapping these important parameters on the field. The rapid increase in the volume of remote sensing data obtained from different platforms has allowed scientists to develop advanced, innovative, and powerful data processing methodologies. Machine learning methods can help in processing a wide range of remote sensing data and in determining the relationship between the reflectance continuum and features of interest. Moreover, these methods are robust in processing spectral and ground truth measurements

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“…In the last decade, UAV-borne geophysics has undergone rapid developments (e.g., [1]). Several sensors (geophysical methods such as magnetics, radar, VLF, radiometrics) are now surveyed, in R&D to operational mode, and developments are in fast progress in all parts of the world (e.g., [2,3]), including for emerging methods such as electromagnetism or gravity [4,5]. This is often driven by applications, which are as diverse as agriculture (e.g., [6]), ground water (e.g., [7]), oil and gas (e.g., [8]), UXO, or mine detection (e.g., [9]).…”

Section: Introductionmentioning

confidence: 99%

Airborne/UAV Multisensor Surveys Enhance the Geological Mapping and 3D Model of a Pseudo-Skarn Deposit in Ploumanac’h, French Brittany

et al. 2021

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Taking advantage of a multi-sensor (multispectral and magnetic) drone survey, we address the detailed geological mapping and modeling of a mineralization in its geological environment. We stress that these high-resolution data allow us to bridge the gap between field observations and a regional aeromagnetic survey. On the one hand, the combination of multispectral imagery with field geological observations enhances detailed geological mapping. On the other hand, the combination of field magnetic susceptibility measurement and their use in detailed to regional magnetic modeling, constrained respectively by UAV-borne and airborne magnetic surveys, allows deriving a model of the mineralization consistent across the scales. This is demonstrated in a case study in a complex polyphased magmatic-metamorphic environment on the coast of French Brittany. The target area hosts a pseudo-skarn mineralization, exhibiting an outstanding magnetic anomaly. The combination of remotely sensed and field data allows deriving a realistic conceptual and geometrical model of the magnetic mineralization in its geological environment, tightly constrained by field observations and measurements.

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Developing multi-sensor drones for geological mapping and mineral exploration: setup and first results from the MULSEDRO project

Abstract: M. 2019: Developing multi-sensor drones for geological mapping and mineral exploration: setup and first results from the MULE-DRO project. Geological Survey of Denmark and Greenland Bulletin 43, e2019430302.

Cited by 21 publications

References 9 publications

A Modified Portable Health Clinic System for Coronavirus Hotspot Areas

A Modified Portable Health Clinic System for Coronavirus Hotspot Areas

A review of machine learning in processing remote sensing data for mineral exploration

Airborne/UAV Multisensor Surveys Enhance the Geological Mapping and 3D Model of a Pseudo-Skarn Deposit in Ploumanac’h, French Brittany

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