Aljawf_Land Surface Temperature (LST)
This dataset presents mean land surface temperature (LST) observations for Saudi Arabia in 2023, derived from Landsat 8 thermal infrared (TIR) bands. The data is processed using standard atmospheric correction and land surface emissivity algorithms to ensure accuracy. It provides valuable insights into temperature distribution, climate variability, and land cover influences on thermal dynamics. The dataset is useful for researchers, policymakers, and environmental analysts in studying climate trends, urban heat island effects, and sustainable resource management.
This dataset presents mean land surface temperature (LST) trends across the Kingdom of Saudi Arabia from 2013 to 2024, derived from Landsat satellite observations. The analysis utilizes thermal infrared (TIR) bands from Landsat 8 and Landsat 9, processed using standard atmospheric correction and emissivity-based methodologies to ensure accuracy. The dataset provides spatially explicit temperature variations, enabling assessments of long-term climate patterns, urban heat island effects, and land cover influences on thermal dynamics. It serves as a valuable resource for environmental monitoring, climate change analysis, and policy-making related to sustainable land and water resource management.
Additional Information
| Field | Value |
|---|---|
| Data last updated | March 10, 2025 |
| Metadata last updated | March 10, 2025 |
| Created | March 10, 2025 |
| Format | geotif |
| License | No License Provided |
| Datastore active | False |
| Datastore contains all records of source file | False |
| Has views | True |
| Id | 3ad7a5d6-890b-47b9-98fa-614769dd362d |
| Mimetype | image/tiff |
| Package id | 3d147ca5-d6b1-431e-a356-0d9343e6dfd9 |
| Position | 0 |
| Size | 993 KiB |
| State | active |
| Url type | upload |