Zaw Thu Htet( Toby )'s Projects
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
A Satellite Time Series Dataset for Crop Type Identification
Building-Footprint-Extraction-From-Satellite-Images-With-Deep-Learning
Canny Edge detector library
crop classification using deep learning on satellite images
[Coming soon] Code for crop type classification with growth stage normalization method proposed in:
Crop Yield Prediction using Deep learning
Farm Boundary Segmentation using Deep Learning
Fastai v1 & PyTorch v1 Course in Vienna
Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts
Codes for Geoprocessing
Small tools to download Google maps satellite image for a given extent & zoom level to a TIFF file with geographical coordinates and speeding it up with multiple threads and processes.
Google Earth Engine Rest API test
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Team name : Tomorrow Geographer
Python implementation of KNN and DTW classification algorithm
Landslide4Sense
SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto
Code for journal paper "Deep Learning for Land Cover Change Detection".
This is the repository for the course ML at Asian Institute of Technology. Covers machine learning from scratch using Python.
Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication
Practicing Pytorch