Five years of Landsat-8 thermal infrared data reveal daytime land surface temperature hotspots for the Greater London Area. ARTi Analytics BV produced this dataset by aggregating 100-meter resolution summer (June-August) imagery from 2016 to 2020 to the city block level. The resulting shapefile contains average, minimum, maximum, and standard deviation LST statistics for each Urban Atlas polygon.
Use Cases
- Mapping the spatial distribution of urban surface temperatures based on satellite-derived land surface temperature (LST) data.
- Identifying intra-urban areas with elevated temperatures for thermal discomfort and health impact studies.
- Analyzing temperature variability at the city block level based on aggregated LST statistics (avg, min, max, std dev).
Strengths
- Data is derived from a five-year time series (2016-2020) of Landsat-8 thermal images.
- Provides 100-meter spatial resolution for detailed intra-urban analysis.
- Statistics are aggregated to the city block level using Urban Atlas polygons for urban planning relevance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect temporal bias inherent to summer months (June, July, August) only.
Provenance
- Source
- ARTi Analytics BV, as part of the EXTREMA Global portfolio of services, for the Greater London Authority.
- Collection Method
- Derived from Landsat-8 thermal infrared images, processed into 100m daytime LST, and aggregated to Urban Atlas city block polygons.
- Time Range
- 2016-2020, summer months (June, July, August).
- Freshness
- Last updated 2026-03-25 12:01:57.689931; freshness should be verified.
- Geography
- Greater London Area (GLA).