Gather data form Satellite Imagery
Data Source: https://remotepixel.ca/projects/satellitesearch.html
Check hottest days in New York for and Madrid in 2016.
New York: 13th August 2016
Madrid: One of the hottest days was on 9th July 2016
There wasn’t data available for this day in the source so we decided to get the data for 21st August 2016 instead.
Luckily we had Satellite Imagery data for one of the hottest days and we downloaded the data for 9th July 2017.
To generate the data for the Land Surface Temperature (LSD) we need Landsat 8 (link) Band 10 and MDL
- Band 10: Thermal Infrared (TIRS) 1
- MTL: Metadata of satellite information
Based on the location of the cities the data was selected and downloaded.
Once downloaded I loaded into QGIS and manipulate the data following this article which shows how the algorithm is calculated in ERDAS Software here:
- Clip data
- TOA Radiance
- Kelvin
- Celsius
- Polygonize
- Smooth polygons
All this analysis and Raster manipulation was done using the QGIS Plugin “Semi-Automatic Classification Plugin” and the SAGA geotoolbox.
Clipping original raster data
Analyzing & calculating temperature in Celsius (From NIR to Temperature)
Polygonize the raster data
How the live version looks like link
