This repository contains a pipeline blending Python and R features, first to: download, preprocess, and compute Sentinel-1 SAR vegetation indices (all in Python); following for image sampling in R.
EOPF 101 introduces you to tools and practical examples working with Sentinel Zarr data created by the ESA EOPF Sample Service.
Unsupervised and supervised learning for satellite image classification
**The only Arch Linux setup that audits itself harder than your ex audits your text messages 👀💔**. Meet arch-machine 🛡️🤖 — your AI-forged, profile-based Arch Linux fortress 🏰 that turns a fresh install into a paranoid, self-healing, ML/AI-ready workstation ⚡ faster than you can say “yay/paru/pacman … oh god why is it still compiling” 😩�
Sentinel Values - unique global singleton objects, akin to None, NotImplemented and Ellipsis.
Papers for Copernicus Land Monitoring Services evolution - based on H2020 ECoLaSS project
Using Docker Compose to setup a redis cluster with sentinel.
A Python client for the processing service of the ESA Sen4CAP project
The purpose of this repository is to provide implementations of three different types of data structures: sentinel-based, dynamic using malloc, and linked using pointers. These data structures can be used in various algorithms and programs for efficient storage, retrieval, and manipulation of data.
The objective of the project is to develop a book loan system. The repository consists of two programs written in C language and its compilation in Unix-type Operating Systems is recommended because processes are handled at the kernel level.
Testing Redis master / slave failover with and without Sentinels
Personal website with geospatial content
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