This is the repo for satellite imagery analysis using a deep-learning neural network. The content is part of my new course: Deep Learning Application for Earth Observation

1. A short introduction to the Convolution Neural Network (CNN)
2. Deep learning training dataset preparation guideline using ArcGIS Pro as well as the open source** method
3. Land Use Land Cover Classification (image classification)
4. Swimming pool and car detection (object detection)
5. Building detection (image segmentation)
6. Land Use Land Cover Mapping (mult-class image segmentation)
7. Landslide detection using the SAR and Optical dataset
8. Time series analysis with LSTM
9. End-to-end deep learning with Google Earth Engine (GEE) dataset