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Building Height
Building Height
Building Height
Building Height
Technology description
The Building Height Layer provides precise measurements of building heights across urban and rural landscapes, categorized into distinct ranges to facilitate urban planning, risk assessment, and infrastructure management. Derived using advanced machine learning applied to multispectral Sentinel-2 data, this layer ensures a high spatial resolution of 10 meters, making it an invaluable tool for sustainable development and disaster preparedness.
Uses scenario
Utilize building height data to enforce zoning regulations and manage vertical expansion effectively. This ensures a balanced skyline and supports sustainable urban development.
Analyze the vertical profile of urban areas to assess density and compactness. This data helps inform policies that encourage sustainable development and minimize urban sprawl.
Incorporate building height data into disaster preparedness strategies for high-rise areas. This supports optimized evacuation routes, enhanced safety protocols, and better emergency response plans for hazards like fires, earthquakes, and flooding.
Evaluate the impact of building shadows on parks, residential zones, and public areas. Building height data helps planners protect sunlight access and enhance the livability of urban spaces.
Tech basis
A high-resolution analysis categorizing building heights into precise ranges using satellite imagery and AI-driven analytics. Designed for urban planning, zoning, and infrastructure management to support sustainable urban development and disaster resilience.
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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