P21: Drought monitoring at the assets level | |
Maturity score | |
Mean: 2.6 | STD: 0.62 |
Constraints and limitations · Cloud presence to calculate vegetation indices. · The impact on assets for drought is complex as the spatial and temporal scales of the events are different. | |
Relevant user needs UN12: Analysis of potential risks in specific regions. UN13: Need to geo-map clients. UN14: Need to screen the feasibility of projects against different hazard criteria. UN37: Projection of risk to portfolio assets into the future. UN42: Need to monitor the impact of droughts on assets. | |
R&D gaps · Low spatial resolution of climate data · In some specific cases, the data comes later than needed (limitations in latency) · Limitations in the availability of adequate stream flow and groundwater data which are the inputs to calculate the indicators of hydrological drought. · Lack of validation due to the lack of in-situ data | |
Potential improvements drivers · Additional data on vulnerability and exposure of assets is required to evaluate the impacts of some perils/hazards. · Higher spatial and temporal resolution of EO input data | |
Utilisation level review | |
Utilisation score | |
Mean: 2.71 | STD: 0.70 |
No utilisation Low utilisation · Higher cost of using the commercial EO product. · Unawareness of the existence of commercial EO products with better specifications. · The complexity of monitoring the steps of the hydrological cycle using only EO. Medium utilisation · Unawareness of the existence of the best available commercial EO product with better specifications . · Variability of the product by location. High utilisation | |
Critical gaps related to relevant user needs | |
Guideline gap UN37: Projection of risk to portfolio assets into the future. UN42: Need to monitor the impact of droughts on assets. | |
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