Build a holistic picture of risk across your real estate, insurance policy, or investment portfolio using satellite imagery and analytics.
Intro
Hurricanes, earthquakes, floods, and forest fires are extreme weather events that are becoming more frequent. In addition to tragic human losses, proximity to such natural disasters pose a significant risk to financial assets and liabilities. Geospatial data and analytics can provide actionable insights to help balance and neutralize that risk.
Overview
High-resolution imagery and weather data
Access high-resolution Sentinel-2 optical imagery for vast areas of interest. Augment analysis with 1000 historical and forecasted weather parameters.
Predict water-related geohazards
Use out-of-the-box machine-learning algorithms processing Sentinel-2 data to predict flooding or exposure to water bodies for your areas of interest.
Gain a holistic view of portfolio risk
Combine weather and geohazard predictions with your own algorithms applied to high-resolution satellite, radar, or aerial data to get a full picture of your portfolio risk.
Identify risk areas in your financial portfolio, whether that is due to, for example, commodity supply or natural disasters.
Predict water-related geohazards to identify areas of your real estate portfolio that is at risk of damage and financial loss.
The technical details
Data
High-quality satellite imagery
Access the latest Sentinel-1 and Sentinel-2 imagery, searching via our catalog search feature that enables you to search based on cloud coverage and date range. Supplement the Sentinel-2 imagery with a range of weather data parameters that can provide historical and forecast information on extreme weather risks.
Historical analysis
Apply algorithms to vast archive data
Map historical flooding by processing Sentinel-1 SAR data over time and automatically identify areas that have been at high risk of flooding. Additionally, process Meteomatics' weather data to detect regions that are prone to extreme fluctuations in wind speed, rainfall levels, and temperature that all indicate susceptibility to extreme weather events.
Predictions
Predict water-related geohazards
Use Platoi's Advanced Water-Related Geohazards processing block on Sentinel-2 imagery to predict areas at risk of flooding and exposure to water bodies. With predictions up to six months in advance, this block can provide adequate time to respond to portfolio risks through divestment, alternative investment, or risk balancing tactics.
API
Combine and integrate your insights
These ranging insights from the identification of extreme weather to historical flood maps to water-related geohazard predictions can be easily integrated into geospatial products via API or downloaded and provided directly to the end-user. In addition to the ease of integration, the API and Python SDK enable this analysis to run regularly and feed into legacy tools or alert systems.
import up42
up42.authenticate(project_id="12345", project_api_key="12345")
project=up42.initialize_project()
workflow = project.create_workflow(name="Portfolio", use_existing=True)
input_tasks=['sentinelhub-s2-aoiclipped', 'advanced-water-related-geohazards-predictor']
workflow.add_workflow_tasks(input_tasks=input_tasks)
parameter = workflow.construct_parameters(
geometry=[13.41686, 52.51167, 13.422503, 52.514706],
geometry_operation="intersects",
start_date="2020-01-01",
end_date="2020-10-14",
limit=2)
job = workflow.run_job(input_parameters=parameter, track_status=True)
job.download_results()Ready to get started? Create an account in seconds and we'll even give you 10,000 credits to get your first insights.