P15: Lithology and surficial geology mapping | |
Maturity score | |
Mean: 3.00 | STD: 0.00 |
Constraints and limitations · Cloud presence. · Mapping lithology is most effective in arid and semi-arid regions. It becomes more difficult and less accurate in temperate and tropical areas where weathering is extensive, and dense vegetation cover is prevalent. · The product relies on reference data. · Machine learning model uncertainty. | |
Relevant user needs UN9: Understanding stock levels and monitoring supply chains. | |
R&D gaps · Limited training data. · Limited spectral bands of currently available EO data. | |
Potential improvements drivers · Using Hyperspectral data (there are upcoming missions). · More training datasets | |
Utilisation level review | |
Utilisation score | |
Mean: 2.00 | STD: 0.00 |
No utilisation Low utilisation · Unawareness of the existence of commercial EO products with better specifications · The product is already satisfying the technical and usability requirements. Medium utilisation High utilisation | |
Critical gaps related to relevant user needs | |
Utilisation gap UN9: Understanding stock levels and monitoring supply chains | |
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