KonstantinosF

Classification-of-Hyperspectral-Image

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

Flood-Detection---Satellite-Images

This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images

Flood-Mapping-Using-Satellite-Images

MSc Thesis - Data Science - UoP & NCSR "Demokritos"

Sentinel_1-2_Water_Mapping

In this repository I am sharing a pipeline I have created to ingest, preprocess and finaly create an analysis ready products based on Sentinel 1 and Sentinel 2 images.

awesome-earthobservation-code

curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

class_material

This repository contains additional material for the course

DeepNetsForEO

Deep networks for Earth Observation

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

Awesome-GEE

A curated list of Google Earth Engine resources

MNIST_PROJECT

Train a Digit Recognizer using the MNIST dataset

Predict-the-purpose-of-a-trip

In this project I try to predict the purpose of a trip utilising a Random Forest

badslam

Bundle Adjusted Direct RGB-D SLAM

earthpy

A package built to support working with spatial data using open source python

FloodNet-Challenge-EARTHVISION2021

KonstantinosF

My Github Profile

mltools

A collection of Machine Learning Tools for object detection and classification on DG imagery.

MODIS_GlobalFloodDatabase

This repository contains the code used to produce the Global Flood Database and assess changes in population exposed to floods.

msc_datamining

Example scripts from the MSc Big Data Mining lectures

python-data-science

Introduction to Python for Data Science

python-satellite-imagery-workshop

Materials for 1/21/21 DataPhilly workshop

radar-based-flood-mapping

This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

scikit-learn-tips

:robot::zap: scikit-learn tips

Sen1Floods11

sentinelhub-py

Download and process satellite imagery in Python using Sentinel Hub services.

UNOSAT-AI-Based-Rapid-Mapping-Service

This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery.

Upsampling-LC-Maps-Using-Machine-Learning

Upsampling already available land cover raster layers using machine learning inside Google Earth Engine platform.

Wekeo_Competition

This repository contains our submitted jupyter notebook for "Jupyter Notebook Competition 2022" by Wekeo