monitoring  wheat Fields by using satellite imagery

monitoring wheat Fields by using satellite imagery

Artificial Intelligence, Modern Code

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Description

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.

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yaron m. created project monitoring wheat Fields by using satellite imagery

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monitoring wheat Fields by using satellite imagery

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.

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