Stars
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Introduction to Deep Neural Networks with Keras and Tensorflow
Course materials for: Geospatial Data Science
Use Jupyter Notebook in mkdocs
Examples of using the Planetary Computer
An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.
This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.
Geospatial Raster support for Spark DataFrames
The official repository for the EuroCrops dataset.
Guide to methods for generating and testing Cloud-Optimized Geospatial Formats
A comprehensive list of NASA Earth science data products
Best practices with cloud-optimized-geotiffs (COGs)
Workshop materials for the Writing an efficient code for GeoPandas and Shapely in 2023
Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which corresponds to a decompressed version of Level-0 data with addi…
An algorithm that handles large-scale aerial photo co-registration, based on SURF, RANSAC and PyTorch autograd.
Very Deep Super Resolution (VDSR) CNN for improved resolution of Digital Elevation Models
Detection of slums and informal settlements from satellite imagery
A repository of documents and notebooks related to Sentinel-5P
Detect water leaks from satellite images using machine learning
Intended for an AMLD 2024 workshop.
Tutorials on how to use GDAL Python API and rasterio for raster data management, transformation, analysis and visualization tasks.
Object detection in satellite images. Focused first on crater mapping for Mars and the Moon
Resources to support contribution to GLA project
Prompt engineering examples for FOSS4GNA 2023
Jupyter notebook for the Tensorflow local meetup talk (2018-03-20)
Repository for semester course on using TensorFlow for image recognition of satellite imagery.
This repository has all the code to reproduce the results, which were created for my bachelor thesis "Serverless Computing and its Potential forCloud Native Geoprocessing".