HTAF_MODIS_LST: Daily 1-km Seamless Land Surface Temperature for China, 2024

HTAF_MODIS_LST is a 20.0 GB dataset providing spatially continuous, daily land surface temperature (LST) at 1-km resolution for China in 2024. The data was reconstructed from MODIS Terra/Aqua satellite products by Sisi Zhang using a framework that addresses cloud-cover gaps. Validation shows strong agreement with ground station observations, achieving an R value of 0.90 and an RMSE of 6.32 K.

Use Cases

• Analyzing regional thermal environments based on daily, seamless land surface temperature coverage.
• Monitoring extreme heat events based on the high spatiotemporal completeness of the temperature product.
• Validating climate models based on the product's physical consistency and agreement with ground observations.
• Studying urban heat island effects based on the 1-km resolution data for China.

Strengths

• Spatially continuous daily coverage at 1-km resolution for all of China in 2024.
• Validation shows strong agreement with ground stations (R=0.90, RMSE=6.32 K).
• The reconstruction framework effectively addresses large-scale data gaps from cloud cover.
• Dataset size of 20.0 GB indicates a substantial volume of geospatial data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data is specific to China in 2024, which may limit temporal and geographic generalizability.

Provenance

Source

Sisi Zhang via figshare.

Collection Method

Reconstructed from daytime thermal infrared land surface temperature products from MODIS Terra/Aqua satellites.

Time Range

2024

Freshness

Last updated 2026-05-28 10:43:14; freshness should be verified.

Geography

China