Above Ground Biomass Prediction using Deep Learning Regression with Earth Engine and Tensorflow

Hi Geospatial Enthusiast!

Would you like to predict the whole region AGB (Above Ground Biomass) with your field sample data? I will show you how on Earth Engine and Tensorflow (Keras) in this video.

GEE Script: https://code.earthengine.google.com/e...
Colab script: https://colab.research.google.com/dri...

I will use Landsat composite imagery on a West Kalimantan, Indonesia region. Then I will produce multiple spectral indices as additional variables. I am also adding the elevation data from SRTM as variables. All of the variables are scaled to 0 - 1 because it is much easier for deep learning to learn using that scale.

I am using a simple dense layer to help with the regression. Also in the Earth Engine, I am using the random forest regression to predict AGB too.

I hope this video helps with your project and research.

Email: [email protected]
Linkedin:   / ramiqcom  
GitHub: https://github.com/ramiqcom