Heat Hazard Maps | ||||||||
South East England heat hazard map by postcode (Source: 4 Earth Intelligence company). | ||||||||
Product Category | ||||||||
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Financial Domains | ||||||||
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User requirements | ||||||||
UN12: Analysis of potential risks in specific regions. UN14: Need to screen the feasibility of projects against different hazards criteria. UN41: Need to monitor the impact of increased temperatures on assets. | ||||||||
Description | ||||||||
financial management sector by identifying areas prone to extreme heat events. These maps utilize satellite imagery to visualize temperature variations and heatwave patterns across a region. By highlighting regions with high heat risk, financial institutions, insurers, and investors can assess potential impacts on various assets, such as real estate, infrastructure, and agricultural holdings. Heat hazard maps are based on Land Surface Temperature (LST) that can be calculated based on the data from thermal sensors on satellites. By comparing LST with its historical record, it is possible to generate heat hazard maps that categorize levels ranging from minimal to severe. | ||||||||
Spatial Coverage Target | ||||||||
Asset Level | ||||||||
Data Throughput | ||||||||
Rapid tasking Data availability |
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PRODUCT SPECIFICATIONS | ||||||||
Main processing steps | LST can be calculated at a relatively high spatial resolution (30 m) through equations based on the thermal bands from Landsat. Otherwise, there are some publicly available LST data from Copernicus at lower spatial resolution (5 km), but with very high temporal frequency (~ 1 hour). Afterwards, by comparing LST data with its historical record, it is possible to generate heat hazard maps. | |||||||
Input data sources | Optical: Landsat series Radar: N.A Satellite-based products: LST from Copernicus Land Services Supporting data: N.A | |||||||
Accessibility | Landsat series: is freely and publicly available through NASA. LST is from Copernicus Land Services: is publicly and freely available from Copernicus | |||||||
Spatial resolution | Landsat series: 30 m LST is from Copernicus Land Services: ~ 5km | |||||||
Frequency (Temporal resolution) | Landsat series: 16 days LST is from Copernicus Land Services: hourly | |||||||
Latency | Landsat series: ≤ 1 day LST is from Copernicus Land Services: ~ 4 hours | |||||||
Geographical scale coverage | Globally | |||||||
Delivery/ output format | Data type: Raster File format: GeoTIFF | |||||||
Accuracies | Thematic accuracy: 80-90% Spatial accuracy: 1.5-2 pixels of input data | |||||||
Constraints and limitations |
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User's level of knowledge and skills to extract information and perform further analysis on the EO products. | Skills: Essential Knowledge: Essential | |||||||
Similar Products | Name of the Product: Heat Hazard Map over Great Britain (link) EO provider: 4 Earth Intelligence Spatial resolution: 30 m Temporal coverage: they used Landsat 8 data for summers of 2017, 2018, an 2019. Geographical scale coverage: Great Britain Accessibility: contact 4 Earth Intelligence company to discuss eligibility, coverage, and data access. |
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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