P29: Heat hazard maps | |
Maturity score | |
Mean: 2.6 | STD: 0.80 |
Constraints and limitations · Cloud presence · Land Surface Temperature (LST) data can be influenced by atmospheric conditions, such as clouds, aerosols, and water vapour. These factors can introduce inaccuracies in temperature measurements, especially in cloudy regions. | |
Relevant user needs UN12: Analysis of potential risks in specific regions. UN14: Need to screen the feasibility of projects against different hazard criteria. UN41: Need to monitor the impact of increased temperatures on assets. | |
R&D gaps · The unavailability of higher spatial resolution thermal sensors with high revisit frequency. | |
Potential improvements drivers · New missions with high spatial and temporal resolutions of the thermal sensor | |
Utilisation level review | |
Utilisation score | |
Mean: 2.80 | STD: 0.98 |
No utilisation · Unawareness of the existence of this EO product. Low utilisation Medium utilisation · Higher cost of using the best available commercial EO product, · 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 UN41: Need to monitor the impact of increased temperatures on assets | |
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