Košík

0585232 - ÚI DATA Vědecká data      2024
Geletič, Jan

Satellite remote sensing dataset for urban climate in Bergen and Prague.

Popis: Shared dataset contains remote sensing data necessary for a land surface temperature (LST) calculation. Layers were processed for two cities; Bergen (Norway) and Prague (Czech Republic). Original data were downloaded from the U.S. Geological Survey (https://doi.org/10.5066/P975CC9B). For a LST calculation, a land surface emissivity (LSE) algorithm was used.

Processing of LANDSAT-8 and LANDSAT-9 data
Reading metadata file for each scene (*MTL.txt)
Reprojection of scene (note: Bergen scenes have two UTM Zones; 31N and 32N)
Cloud cover raster (see folder 01_CloudCover)
Calculation Top-Of-Atmosphere (TOA) reflectance for bands 10 and 11 (TB_10 and TB_11), saving to folder 02_TOA-reflectance
Calculating of NDVI and Fractional Vegetation Cover (FVC), saving to folder 03_FVC-NDVI
Calculating of LSE for both bands, same as different and mean LSE (folder 04_LSE)
Calculating of LST
Saving of metadata file (see *metadata.txt)
Klíčová slova: land and surface temperature * landsat * Prague * Bergen * Land surface emissivity
Obor OECD: Meteorology and atmospheric sciences
Trvalý link: https://hdl.handle.net/11104/0353010
Vkladatel: admin
Datum publikování: 17.4.2024