19,110 transit stops across India are scored for heat exposure using MODIS Land Surface Temperature (LST) data. The scores are calculated for peak summer conditions in 2024. The dataset likely contains geospatial coordinates and THEI scores for each transit location.
Use Cases
- Assessing heat vulnerability of public transit networks based on satellite-derived temperature data.
- Mapping high-risk transit corridors for heat mitigation planning based on THEI scores.
- Evaluating the correlation between transit stop density and urban heat exposure.
- Supporting climate adaptation strategies for transportation systems based on localized heat indices.
Strengths
- Contains scores for 19,110 distinct transit stops, providing a substantial spatial sample.
- Derived from MODIS satellite LST data, a widely recognized remote sensing source.
- Focuses on peak summer 2024, offering a recent snapshot of heat conditions.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is known, but the specific data structure and additional attributes are unknown.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Collection Method
- Likely derived from MODIS Land Surface Temperature (LST) satellite imagery.
- Time Range
- Peak summer 2024.
- Freshness
- Data is from 2024, indicating recent temporal coverage.
- Geography
- India.