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Flooding Risk
Flooding Risk
Flooding Risk
Flooding Risk
Technology description
The Flooding Risk Layer is designed to identify and quantify areas prone to flooding, providing a comprehensive risk index derived from multiple data sources, including Sentinel-1, Sentinel-2, DEM (Digital Elevation Models), and ERA5 climatic datasets. This layer integrates insights from pluvial, fluvial, and coastal flooding risks, ensuring a detailed and accurate representation of potential hazards.
Uses scenario
Incorporate flood risk data into city development plans to create safer, more resilient urban environments. Use insights to guide zoning, infrastructure design, and disaster response strategies, minimizing potential flood impacts on communities.
Evaluate flood risks for property investments and developments to ensure long-term asset security. Use risk data to identify safer locations, plan resilient designs, and protect property value.
Optimize farmland management by identifying flood-prone areas. Utilize data to safeguard crops, manage water resources effectively, and enhance overall agricultural productivity.
Leverage flood risk insights to study the impacts of climate change on flooding patterns. Support the development of policies and strategies aimed at mitigating future risks and enhancing environmental sustainability.
Enhance risk assessment and pricing models with accurate flood data. Improve claims management processes and develop better policies to minimize exposure and protect stakeholders.
Tech basis
A detailed layer providing accurate classification of tree heights into four ranges (5-10m, 10-15m, 15-20m, >20m) with a 10-meter resolution. Designed for forestry, urban planning, and ecological assessments using advanced machine learning and satellite imagery.
Access high-resolution Land Surface Temperature (LST) data at 10-meter accuracy in Celsius (°C) with our tool.
The Surface Urban Heat Island (SUHI) layer assesses the Urban Heat Island effect, highlighting urban areas that are warmer than their rural surroundings.
The Albedo layer measures surface reflectivity, indicating the percentage of sunlight that is reflected into space.
The Heatwave Risk map integrates temperature data (hazard), population demographics (exposure), and area morphology (vulnerability) to generate a risk index ranging from 0 to 100.
The Park Cool Islands (PCI) layer distinguishes urban parks based on their cooling effects, categorizing them into Major and Minor Cool Islands.
The Microclimatic Performance Index (MPI) evaluates the effectiveness of Urban Green Infrastructure (UGI) in combating the Urban Heat Island (UHI) effect.
The Carbon Storage layer quantifies CO2 absorption by vegetation, offering a detailed view of nature's impact on atmospheric carbon reduction.
The Tree Cover Density (TCD) layer accurately depicts the percentage of an area covered by tree canopy, ranging from 0 to 100%.
The Land Surface Temperature (LST) layer delivers 10-meter resolution temperature data with four daily measurements, supporting urban, agricultural, climate, disaster, and energy applications.
The Flooding Risk Layer identifies areas prone to flooding using data from Sentinel-1, Sentinel-2, DEM, and ERA5, supporting urban planning, real estate, agriculture, climate research, and insurance.
The Tree Height Classification layer provides high-resolution data on tree heights using satellite and LiDAR, supporting urban planning, forestry, and environmental research.
The Building Height Layer provides 10-meter resolution data on building heights, supporting urban planning, density analysis, disaster preparedness, and public space design.
Latitudo 40 is an innovative startup in the field of Earth Observation, born from the passion, expertise, and experience of a team united by a common goal: to improve the planet through satellite technologies. We define ourselves as a lean organization, basing our success on the principles of user-centered design.
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