logo

m4mining: Multi-scale, Multi-sensor Mapping and dynamic Monitoring for sustainable extraction and safe closure in Mining environments

Source: EU Funding & Tenders Portal

Project
Ongoing

The m4mining project aims to provide an integrated remote sensing approach for mapping and monitoring active and inactive mining sites. Hyper- and multispectral imaging combined with 3D surface measurement will be utilised for material identification from the detailed mine face to the site scale using unmanned aerial vehicles (UAVs) and satellite sensors. Central to the proposed work is a synergis

Project Information FAQ

Project Information

5 Q
The project "m4mining: Multi-scale, Multi-sensor Mapping and dynamic Monitoring for sustainable extraction and safe closure in Mining environments" is an infrastructure initiative in the Commercial, Automotive, Telecommunications, Education, Advanced Electronics sector, located in N/A, Norway. Taiyo aggregates data from EU Funding & Tenders Portal, including information on sponsoring government bodies, EPCs, and contractors.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ongoing

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

The m4mining project aims to provide an integrated remote sensing approach for mapping and monitoring active and inactive mining sites. Hyper- and multispectral imaging combined with 3D surface measurement will be utilised for material identification from the detailed mine face to the site scale using unmanned aerial vehicles (UAVs) and satellite sensors. Central to the proposed work is a synergistic unification of UAV and satellite-based processing algorithms, workflows and decision-making tools at timescales required to impact active operations and environmental and risk management of tailings and waste sites. A novel UAV system will combine hyperspectral, lidar, navigation, on-board computing systems and telemetry to acquire high-resolution oblique datasets from mine faces and tailings. Key innovations will be dynamic processing of spectral and lidar data, communicating initial results to on-site users, allowing interactive presentation and decision-making while the UAV is in flight. In addition, high quality results be rapidly available for integration with site-scale satellite workflows and enhanced classification algorithms. This combined approach offers a step-change in active mine operations and tailings management, paving the way for novel products and services. New applications include improved sorting of material during extraction, material quality assessment, re-mining of secondary raw materials, as well as monitoring environmental impact. m4mining will contribute to reduced energy consumption through faster response times for mine operators and will impact digitalisation of mining. The main result will be technology validation in operational environments: three sites in EU and key EU raw materials import markets will be used, in Cyprus, Greece and Australia. The project consortium is established from internationally leading commercial hardware and software providers, research groups in technology and applications in mining, and public stakeholders.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data