2024-03-28T22:37:15Z
https://zenodo.org/oai2d
oai:zenodo.org:5785624
2021-12-16T13:48:47Z
user-goldeneye-h2020
user-eu
Paavola, Marko
Bodganov, Kamen
Matselyukh, Taras
Knobloch, Andreas
Uusitalo, Sanna
Gusat, Dorel
Sobrecueva, Alfonso
Mänttäri, Maunu
2020-12-04
<p>The Goldeneye project will implement a unique combination of remote sensing and positioning technologies, exploiting Earth observation and Earth GNSS data, together with data fusion and processing powered by data analytics and machine learning algorithms. The project brings together satellite sensor data (e.g. SAR data to detect surface subsidence in mining areas), drone sensor aerial data (e.g. highresolution imagery to detect geomorphic chang- es, monitor equipment or track stockpiles/waste dumps), ground sensor data (e.g. Raman spectrom- eter data, Active Hyperspectral spectrometer) and GNSS data (e.g. GNSS simulator to provide indoor positioning capabilities in underground mines).</p>
REVIEW OF THE BULGARIAN GEOLOGICAL SOCIETY, vol. 81, part 3, 2020, p. 281
https://doi.org/10.5281/zenodo.5785624
oai:zenodo.org:5785624
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.5785623
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Goldeneye
GNSS
Earth Observation
Mining
Goldeneye Project: Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:7408397
2022-12-07T14:26:39Z
openaire
user-goldeneye-h2020
user-eu
Savolainen, Marko
Gutierres, Francisco
2022-06-13
<p>Goldeneye project poster at PDAC2022</p>
https://doi.org/10.5281/zenodo.7408397
oai:zenodo.org:7408397
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.7408396
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
goldeneye
PDAC
mining
Goldeneye PDAC2022 poster
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:5509029
2021-09-15T13:48:22Z
user-goldeneye-h2020
user-eu
Kavats, Olena
Khramov, Dmitriy
Sergieieva, Kateryna
2021-09-15
<p>Nowadays there are many algorithms for statistical downscaling of land surface temperature (LST) that can improve the spatial resolution of this data (Zhan et al., 2013). The problem of existing algorithms is the necessity to select features and adjust the algorithm parameters depending on land surface classes present in the image. The objective was to develop an algorithm for downscaling land surface temperature with parameters minimally dependent on the land surface classes.</p>
https://doi.org/10.5281/zenodo.5509029
oai:zenodo.org:5509029
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.5509028
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Scientific conference with international participation "GEOSCIENCES 2020", Sofia University "St. Kliment Ohridski", December 3–4, 2020
Land Surface Temperature downscaling
Landsat-8
ElasticNet
Algorithm for statistical downscaling of land surface temperature using ElasticNet
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:5785690
2021-12-16T13:48:47Z
user-goldeneye-h2020
user-eu
Havisto, Jari
Matselyukh, Taras
Paavola, Marko
Uusitalo, Sanna
Savolainen, Marko
Sobrecueva González, Alfonso
Knobloch, Andreas
Bogdanov, Kamen
2021-10-12
<p>Improved use of Earth observation, sensor and positioning data can offer additional exploitation and environmental control and increase the productivity of mines. The EU-funded Goldeneye project develops a Golden AI platform to allow satellites, drones and in situ sensors to collect high-resolution data from an entire mine. This data will be processed and converted into actionable intelligence in new tools offering improved safety, environmental observation, exploitation and increased extraction in pilot mines. The project will combine remote sensing and positioning technologies to take advantage of Earth observation and Earth GNSS data together with data fusion and processing powered by data analytics and machine learning algorithms. The benefits of Golden AI platform will be demonstrated in mining pilots in Bulgaria, Finland, Germany, Kosovo and Romania.</p>
J. Havisto et al., "Golden AI Data Acquisition and Processing Platform for Safe, Sustainable and Cost-Efficient Mining Operations," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 5775-5778, doi: 10.1109/IGARSS47720.2021.9554181.
https://doi.org/10.1109/IGARSS47720.2021.9554181
oai:zenodo.org:5785690
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Goldeneye
GNSS
Earth Observation
Mining
Golden AI Data Acquisition and Processing Platform for Safe, Sustainable and Cost-Efficient Mining Operations
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:5509221
2023-01-18T14:26:23Z
user-goldeneye-h2020
user-eu
Bogdanov, Kamen
Mekhrengin, Mikhail
Senna Vieira, Francisco
Ognyanov, Ognyan
Kuncheva, Jana
2021-09-15
<p>Our preliminary results of reflectance spectra recorded with the SC for mineral detection study (Fig. 2) of the ore associated phyllic, argillic and propylytic alteration assemblages from epithermal gold and porphyrycopper style deposits reveal the advantages of AHS sensing for mineral detection and targeting as express new innovative technology and efficient tool for mineral prospecting. Ongoing work aims at extending the spectral coverage of the SC up to 2500 nm, enabling the identification of a wider range of important features for mineral identification.</p>
https://doi.org/10.5281/zenodo.5509221
oai:zenodo.org:5509221
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.5509220
info:eu-repo/semantics/restrictedAccess
BGS National Conference "GEOSCIENCES 2020" with International Participation, Sofia University "St. Kliment Ohridski", December 3–4, 2020
GoldenEye
Active hyperspectral sensing
mineral exploration
mineral mapping
remote sensing
Active hyperspectral sensing (AHS) applications for mineral deposit exploration
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:5506870
2021-09-14T13:48:32Z
openaire
user-goldeneye-h2020
user-eu
Filipov, Anton
Bogdanov, Kamen
Ognyanov, Ognyan
2021-09-14
<p>As a result of the initial remote sensing survey potentially target areas for future mineral detection and exploration were identified on satellite multispectral images. The challenge is to perform detailed high resolution mapping in RGB and NIR channels to obtain more clear picture of exploration targets location and evaluation Next level of development is to find the way to map from drone in SWIR even with minimal number of channels This will significantly enhance picture and give us more trustworthy results. As a conclusion we could note that even limited number of remote sensing data could be very useful.<br>
for the ex ploration geologist s for documenting and discovery of mineral deposits</p>
https://doi.org/10.5281/zenodo.5506870
oai:zenodo.org:5506870
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.5506869
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
BGS National Conference "GEOSCIENCES 2020" with International Participation, Virtual conference (Bulgaria), December 3–4, 2020
GoldenEye
Remote sensing
Mineral exploration
Remote sensing and Unmanned Aerial System (UAS) application for geological exploration
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:5785577
2021-12-16T13:48:46Z
user-goldeneye-h2020
user-eu
Gusat, Dorel
Bud, Ioan
Goia, Mircea
2021-07-20
<p>This paper is made within the European project GoldenEye Nr. 869398 Type Horizon 2020 and aims at geometrization in 3D format of the Rosia Poieni deposit. This geometrization will be based on the information on the contents of the deposit, the economic analysis, and the calculations of the stability of the open pit and the adjacent industrial waste dumps. The analysis of data from the literature on content is in a very wide and insufficiently relevant range. The study will be based on the latest scanning technologies, AI, numerical simulations (FLAC 2D), which will form the basis of an economic analysis and forecast of metal prices in the future in order to identify exploitable limits both horizontally and vertically. Depending on the extension of the exploitation area and the definition of the deep exploitation limit by up-to-date exploitation, stability calculations will be performed, which will finally allow the geometry and safety of the deposit. Also, this geometrization will allow the decision-making of exploitation, extension, optimization by the management team and the administrative council of CUPRUMIN ABRUD S.A.</p>
https://doi.org/10.1051/matecconf/202134202010
oai:zenodo.org:5785577
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Analysis of the possibilities of geometry of the Rosia Poieni mining field
info:eu-repo/semantics/article
oai:zenodo.org:7401031
2023-01-17T08:29:27Z
user-goldeneye-h2020
user-eu
Senna Vieira, Francisco
Mekhrengin, Mikhail
Kääriäinen, Teemu
Rytöluoto, Ilkka
Dönsberg, Timo
Genoud, Guillaum
2021-10-21
<p>Powerpoint presentation related to a poster at ICNIRS2021, Beijing, China.</p>
https://doi.org/10.5281/zenodo.7401031
oai:zenodo.org:7401031
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.7401030
info:eu-repo/semantics/restrictedAccess
Mineralogy
Plastic sorting
Active hyperspectral sensor
Active Hyperspectral Sensor for Mineralogy Mapping and Plastic Waste Sorting
info:eu-repo/semantics/lecture
oai:zenodo.org:5506793
2021-09-14T13:48:32Z
user-goldeneye-h2020
user-eu
Bogdanov, Kamen
Mekhrengin, Mikhail
Senna Vieira, Francisco
Ognyanov, Ognyan
Kuncheva, Jana
2021-09-14
<p>Our preliminary results of reflectance spectra recorded with the SC for mineral detection study (Fig. 2) of the ore associated phyllic, argillic and propylytic alteration assemblages from epithermal gold and porphyrycopper style deposits reveal the advantages of AHS sensing for mineral detection and targeting as express new innovative technology and efficient tool for mineral prospecting. Ongoing work aims at extending the spectral coverage of the SC up to 2500 nm, enabling the identification of a wider range of important features for mineral identification.</p>
https://doi.org/10.5281/zenodo.5506793
oai:zenodo.org:5506793
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.5506792
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
BGS National Conference "GEOSCIENCES 2020" with International Participation, Virtual Conference (Bulgaria), December 3–4, 2020
GoldenEye
Active hyperspectral sensing
mineral exploration
mineral mapping
remote sensing
Active hyperspectral sensing (AHS) applications for mineral deposit exploration
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:4305451
2023-03-03T14:26:35Z
user-goldeneye-h2020
Savolainen, Marko
2020-11-30
<p>This report is the deliverable D8.7 of the Work package 8: “Exploitation & Scaling Up” of the GOLDENEYE-project. This Data Management Plan (DMP) provides an overview of the datasets and file types to be collected or generated during the project span and defines the GOLDENEYE consortium’s data management policy that is used with regard to these datasets.</p>
https://doi.org/10.5281/zenodo.4305451
oai:zenodo.org:4305451
eng
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://doi.org/10.5281/zenodo.4305450
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
GoldenEye
Data management plan
DMP
Deliverable
GoldenEye D8.7 Data management plan
info:eu-repo/semantics/technicalDocumentation
oai:zenodo.org:7399638
2022-12-06T14:26:38Z
openaire
user-goldeneye-h2020
user-eu
Savolainen, Marko
2022-09-01
<p>Goldeneye project roll-up</p>
https://doi.org/10.5281/zenodo.7399638
oai:zenodo.org:7399638
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.7399637
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Goldeneye
mining
Goldeneye project roll-up
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:7399537
2022-12-06T02:26:36Z
openaire
user-goldeneye-h2020
user-eu
Paavola, Marko
Knobloch, Andreas
Matselyukh, Taras
2022-06-14
<p>Presentation of Goldeneye project at PDAC2022 convention</p>
https://doi.org/10.5281/zenodo.7399537
oai:zenodo.org:7399537
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.7399536
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
PDAC 2022
EARTH OBSERVATION AND EARTH GNSS DATA ACQUISITION & PROCESSING PLATFORM FOR SAFE, SUSTAINABLE & COST-EFFICIENT MINING OPERATIONS
info:eu-repo/semantics/lecture
oai:zenodo.org:7399513
2022-12-05T11:43:38Z
user-goldeneye-h2020
user-eu
Gutierres, Francisco
2022-12-05
<p>Flyer presenting Goldeneye project in PDAC2022 convention</p>
https://doi.org/10.5281/zenodo.7399513
oai:zenodo.org:7399513
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.7399512
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
PDAC 2022
Goldeneye
Flyer
Goldeneye Flyer 2022
info:eu-repo/semantics/other
oai:zenodo.org:7408359
2022-12-07T14:26:39Z
openaire
user-goldeneye-h2020
user-eu
Senna Vieira, Francisco
Mekhrengin, Mikhail
Kääriäinen, Teemu
Rytöluoto, Ilkka
Dönsberg, Timo
Genoud, Guillaum
2021-10-21
<p>Powerpoint presentation related to a poster at ICNIRS2021, Beijing, China.</p>
https://doi.org/10.5281/zenodo.7408359
oai:zenodo.org:7408359
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.7408358
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Active hyperspectral sensor
Goldeneye
Mining
Active Hyperspectral Sensor for Mineralogy Mapping and Plastic Waste Sorting
info:eu-repo/semantics/lecture
oai:zenodo.org:7408434
2022-12-07T08:43:52Z
user-goldeneye-h2020
user-eu
Savolainen, Marko
2021-04-30
<p>Goldeneye H2020 project video 1</p>
https://doi.org/10.5281/zenodo.7408434
oai:zenodo.org:7408434
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.7408433
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
goldeneye
project video
mining
GoldenEye project video 1
info:eu-repo/semantics/other
oai:zenodo.org:5785609
2021-12-16T13:48:46Z
user-goldeneye-h2020
user-eu
Filipov, Anton
Bogdanov, Kamen
Ognianov, Ognian
2021-12-16
<p>As a result of the initial remote sensing survey potentially target areas for future mineral detection and exploration were identified on satellite multispectral images. The challenge is to perform detailed high resolution mapping in RGB and NIR channels to obtain more clear picture of exploration targets location and evaluation Next level of development is to find the way to map from drone in SWIR even with minimal number of channels This will significantly enhance picture and give us more trustworthy results. As a conclusion we could note that even limited number of remote sensing data could be very useful for the exploration geologist s for documenting and discovery of mineral deposits</p>
REVIEW OF THE BULGARIAN GEOLOGICAL SOCIETY, vol. 81, part 3, 2020, p. 166–168
https://doi.org/10.5281/zenodo.5785609
oai:zenodo.org:5785609
Zenodo
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.5785608
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Goldeneye
Remote sensing
Exploration
Mining
Remote sensing and Unmanned Aerial System (UAS) application for geological exploration
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:6325283
2023-01-17T08:24:00Z
openaire_data
user-goldeneye-h2020
user-eu
Bogdanov, Kamen
Mekhrengin, Mikhail
Senna Vieira, Francisco
Ognyanov, Ognyan
Kuncheva, Jana
2022-03-03
<p>Dataset related to publication "Active hyperspectral sensing (AHS) applications for mineral deposit exploration"</p>
https://doi.org/10.5281/zenodo.6325283
oai:zenodo.org:6325283
Zenodo
https://doi.org/10.5281/zenodo.5506793
https://doi.org/10.5281/zenodo.5509221
https://zenodo.org/communities/goldeneye-h2020
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6325282
info:eu-repo/semantics/restrictedAccess
Active hyperspectral sensing
Mineral exploration
Mineral mapping
Remote sensing
Dataset related to publication "Active hyperspectral sensing (AHS) applications for mineral deposit exploration"
info:eu-repo/semantics/other