use machine learning code that is base on python scikit-learn to to improve the Spatial resolution Land Surface Temperature
Satellite image..to be use in monitoring and Improve of wheat field in Israel
the Spatial resolution of Land Surface Temperature Satellite image is lower than the Spatial resolution of Surface Reflectance For example, on a NASA TERRA Satellite the Surface Reflectance is in 500m Spatial resolution and is Land Surface Temperature is in Spatial resolution 1000m. the machine learning code find the statistical connections between the Surface Reflectance to Land Surface Temperature and use this data to Increase the Spatial resolution of the image of Land Surface Temperature to 500m
this data is important information for Urban Planning, agriculture and public health.