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LAND SURFACE TEMPERATURE
LAND SURFACE TEMPERATURE
LAND SURFACE TEMPERATURE
LAND SURFACE TEMPERATURE
Technology description
Land Surface Temperature (LST) layer provides precise temperature measurements at 10 meter spatial resolution, expressed in Celsius degrees (°C). This advanced data layer is generated using Latitudo 40's proprietary Machine Learning algorithms, which apply to Copernicus Sentinel-2 imagery to effectively downscale the thermal information obtained from Landsat 8-9. This LST layer is ideal for applications requiring detailed surface temperature data, such as urban heat island analysis, agricultural monitoring, environmental research, and climate studies.
Uses scenario
Track and analyze urban heat islands to mitigate excessive heat in cities. By identifying hotspots, cities can implement cooling strategies like increasing green spaces and reflective surfaces to improve urban livability.
Optimize irrigation and crop management with accurate LST data. Farmers can use this data to efficiently manage water resources, monitor soil health, and enhance crop yields by adjusting practices based on temperature patterns.
Support climate studies by providing detailed temperature data over time. Researchers can track climate change, analyze long-term temperature trends, and contribute to academic research on environmental impacts and global warming.
Aid in predicting and managing heat-related disasters and wildfires. Accurate LST data helps in early detection of heat anomalies, allowing for timely resource allocation and risk mitigation strategies to protect communities and ecosystems.
Improve energy efficiency by understanding temperature patterns and demands. Energy planners can optimize cooling systems, reduce energy consumption, and plan sustainable infrastructure by leveraging detailed LST insights.
Tech basis
Map that offers high spatial resolution data on Land Surface Temperature (LST) expressed in Celsius Degrees (°C).
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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