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Satellite remote sensing dataset for urban climate in Bergen and Prague

  1. 1.
    0585232 - ÚI DATA Scientific data      2024
    Geletič, Jan

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

    Description: 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)
    Keywords : land and surface temperature * landsat * Prague * Bergen * Land surface emissivity
    OECD category: Meteorology and atmospheric sciences

    Permanent Link: https://hdl.handle.net/11104/0353010
    Depositor: admin
    Date of release: 17.4.2024
    Institutional support: RVO:67985807
    License: CC BY 4.0 - Attribution-International license
     
    StorageAccessibilityCommentary
    Zenodo.orgopen-access
Number of the records: 1  

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