P31: Coastal erosion | |
Maturity score | |
Mean: 2.6 | STD: 0.64 |
Constraints and limitations · Cloud presence · Variability in sea level due to tides, storm surges, and other factors can introduce noise and uncertainty in detecting shoreline shifts. · Subpixel changes in shoreline positions might be challenging to detect and measure accurately, impacting erosion rate calculations. | |
Relevant user needs UN12: Analysis of potential risks in specific regions. UN14: Need to screen the feasibility of projects against different hazard criteria. UN37: Projection of risk to portfolio assets into the future. UN40: Need to monitor the risk of sea level rise threatening coastal property, infrastructure, and supply chains. | |
R&D gaps · Limitation of high spatial and temporal resolution historical satellite imagery. | |
Potential improvements drivers · Global data of shoreline change rate | |
Utilisation level review | |
Utilisation score | |
Mean: 2.17 | STD: 1.07 |
No utilisation · Unavailability of freely available sources of the EO product. · Unacceptable reliability and accuracy of the EO product. Low utilisation · Unawareness of the existence of commercial EO products with better specifications. Medium utilisation · Unawareness of the existence of the best available commercial EO product with better specifications. High utilisation | |
Critical gaps related to relevant user needs | |
Guideline gap UN37: Projection of risk to portfolio assets into the future. Utilisation gap UN12: Analysis of potential risks in specific regions UN14: Need to screen the feasibility of projects against different hazard criteria. UN40: Need to monitor the risk of sea level rise threatening coastal property, infrastructure, and supply chains |
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