abc
P32: Fish stock assessment | |
Maturity score | |
Mean: 2.00 | STD: 0.00 |
Constraints and limitations · Cloud presence · It is more an assessment of the probability of finding some fish than a stock assessment. · EO data primarily focuses on the sea surface, which may not provide information about fish species that inhabit deeper waters. · The data may not distinguish between mixed species. | |
Relevant user needs UN9: Understanding stock levels and monitoring supply chains | |
R&D gaps · Lack of training datasets as companies will not share the information of fish stock’s locations due to its commercial sensitivity. | |
Potential improvements drivers · Privacy Enhancement Technologies can help to overcome the barriers, to training better models. | |
Utilisation level review | |
Utilisation score | |
Mean: 1.4 | STD: 0.49 |
No utilisation · Unavailability of freely available sources of the EO product. · Unacceptable reliability and accuracy of the EO product. · Unawareness of the existence of this EO product. · Understand fishing locations have not been pointed out as interest in the finance sector. Low utilisation Medium utilisation High utilisation | |
Critical gaps related to relevant user needs | |
Guideline gap UN39: Need to assess the potential impact of business activities or investments on ecosystems and biodiversity. | |
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