Welcome to the Satellite Machine Learning Training guide. The first few lessons on Python, Geospatial Python, and Machine Learning will prepare you for the interactive tutorials.

Training Lessons

• Intro to Python

  A selection of background material and resources for Python.

  Feb 21, 2020

• Geospatial Python

  An overview of python methods for geospatial data relevant to doing machine learning with satellite data.

  Feb 22, 2020

• Machine learning (ML)

  A selection of background material and resources for Machine Learning.

  Feb 23, 2020

• Getting Started

  Setting up accounts and testing some python.

  Sep 28, 2020

• Random Forest Model for Crop Type and Land Classification

  Using RandomForest Classifier for crop type mapping with data from Google Earth Engine.

  Feb 22, 2020

• LightGBM for Crop Type and Land Classification

  Using LightGBM Classifier for crop type mapping for SERVIR Sat ML training.

  Feb 24, 2020

• Crop type mapping with Deep Learning

  A guide for using deep-learning based semantic segmentation to map crop types in satellite imagery.

  Feb 24, 2020

• Working at Scale

  Scaling up machine learning in the cloud with parallelization and cloud data access.

  Oct 8, 2020

• Inference in Google Earth Engine + Colab

  Scaling up machine learning with GEE and Google Colab.

  Oct 9, 2020

• Crop yield modeling at district level

  Jul 29, 2020