Goldeneye Project: Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations
Autor: | Paavola, Marko, Bodganov, Kamen, Matselyukh, Taras, Knobloch, Andreas, Uusitalo, Sanna, Gusat, Dorel, Sobrecueva, Alfonso, Mänttäri, Maunu |
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Rok vydání: | 2020 |
Předmět: | |
DOI: | 10.5281/zenodo.5785623 |
Popis: | 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). REVIEW OF THE BULGARIAN GEOLOGICAL SOCIETY, vol. 81, part 3, 2020, p. 281 |
Databáze: | OpenAIRE |
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