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LST 4 TIME A DAY
LST 4 TIME A DAY
LST 4 TIME A DAY
LST 4 TIME A DAY
Technology description
Discover Land Surface Temperature (LST) layer, now available with four daily measurements—4:00 a.m., 12:00 p.m., 3:00 p.m., and 11:00 p.m. This feature delivers high-resolution insights, offering precise temperature data at a 10-meter spatial resolution.
Uses scenario
Effectively track and analyze urban heat islands to mitigate extreme temperatures in cities. Identify hotspots and implement targeted cooling strategies like adding green spaces or reflective surfaces to enhance urban livability and resilience.
Optimize irrigation and crop management with precise LST data. Farmers can manage water resources more efficiently, monitor soil health, and boost crop yields by leveraging temperature patterns to adjust practices.
Provide actionable support for climate studies and environmental research by offering detailed, time-specific temperature data. Researchers can track climate change, analyze long-term trends, and contribute to impactful academic insights.
Proactively predict and manage heat-related disasters and wildfires with accurate LST data. Detect heat anomalies early, allocate resources effectively, and implement strategies to mitigate risks for communities and ecosystems.
Leverage LST data to optimize energy systems by analyzing temperature trends and demands. Planners can enhance cooling efficiency, reduce energy consumption, and develop sustainable infrastructure for long-term benefits.
Tech basis
High-resolution map providing Land Surface Temperature (LST) data in Celsius (\u00b0C) with four daily measurements. Designed for precise analysis of temperature dynamics across various environments.
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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