“Does anyone have any reference or methodology for projecting an Urban Heat Island (UHI) layer into the future using GIS? I am interested in techniques that combine satellite data and predictive modeling tools to project changes in urban surface temperature. I welcome any input or related studies.”
Att:
Jhonsy O. Silva-López
Remote Sensing Method: Satellite imagery can be utilized to assess land surface temperatures over time, which can therefore be projected based on historical trends and future land use scenarios.
Eu utilizo interpoladores tipo krigagem entre as estações meteorológicas espalhadas pela área urbana em série histórica o que permite avaliar a flutuabilidade térmica em diversos locais, associando uso de imagens pelo NDVI na expansão de edificações e redução da massa verde também em séries históricas
Thank you for the answer: Belinda Afful Barun Ghosh Wilson Silva
My question is more focused on the fact that I have two urban heat island raster layers (UHI= (LST-LSTm)/SD) generated from Landsat images from 2010 and 2020 and I want to project into the future, for example to 2030.
UHI= (LST-LSTm)/SD, where:
UHI: Urban heat island
LST: Land surface temperature
LSTm: Average land surface temperature
SD: Standard deviation of temperature
So, based on this data, what method would be applied to be able to project? For example, for LULC, Molusce is used (using a QGIS plugin)
How about Trend Analysis and Extrapolation Methodology Using Statistical Analysis?
With this method, you’ll have to use the UHI data from 2010 and 2020 to calculate the average annual increase (or change) in UHI. You can apply linear regression to model the trend and project future UHI values for 2030.
Belinda Afful It is a very viable option.
I will extract the values from 2 layers (2000 and 2005) and see if it work for 2020 so I can validate.
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