Viewing the surface temperature of a city 🌡️🛰️🏙️

Goal:

to create a gif that displays the land surface temperature (LST) for a selected part of a city, alongside an optical image obtained within the same time frame

Data:

• ECOSTRESS surface temperature (product: ECO2LSTE.001)
• ECOSTRESS surface temperature statistics
• ECOSTRESS cloud mask (product: ECO2CLD.001)
• ECOSTRESS cloud mask lookup
• Sentinel-2 L1C image

Example area & time:

Bialystok's (Poland) city, year of 2022

Processing steps:

1. selecting the area and time to be analyzed
2. downloading Sentinel-2 data using API
3. downloading ECOSTRESS data using API
4. transforming the data to a common coordinate system
5. stacking and clipping the data to a common spatial extent
6. calculating the Surface Temperature
7. familiarizing with the LST statistics
8. converting cloud raster masks into polygon features
9. creating an animated gif

Sources:

• geojson drawing page: https://geojson.io/
• ECOSTRESS page: https://ecostress.jpl.nasa.gov/
• ECOSTRESS API: https://appeears.earthdatacloud.nasa.gov/api/?python#introduction
• Creodias platform: https://creodias.eu/

Prepared by: Aleksandra Radecka
e-mail: [email protected] LinkedIn: https://www.linkedin.com/in/aleksandraradecka/