geonamsoil Goto Github PK

particle_filter

Adapt Newson and Krumm's classic 2009 paper, "Hidden Markov Map Matching Through Noise and Sparseness," for particle filters.

peridynamics_masters_thesis

pixeloffset_mintpy

Processing of cosicorr pixel offset data with mintpy

pr-earthquakes-analysis

Code used in my analysis "Interpreting the 2020 Puerto Rico Earthquakes with data"

predict-tsunami-by-location

predictive-soil-mapping

predict_tectonic_deformation_machine_learning

pub_strauch_etal_esurf

Supporting files for publication 'Strauch et al., 2018 - Landslides in Landlab' in eSurf

pyoptimalestimation_examples

pyresample

Geospatial image resampling in Python

pyspectral

Pyspectral is a package to read and manipulate satellite sensor spectral responses and solar irradiance spectra

pysteps-tutorials

Tutorials for the PySTEPS project.

python_cartopy_vf

Exemples de tracés de produits Netcdf avec Cartopy

quake-predictor

Plot.ly Dash webapp to predict the location of an Earthquake based on Depth, Magnitude, etc using machine-learning.

rainfall-intensity-threshold

rainfall_bayes

rainfall analysis using bayes theorem to develop probabilistic rainfall threshold to monitor deep seated landslides

rainfall_threshold

reinforcement-learning-trading-agent-using-google-trends-data

This project is part of my internship at ULiege on Deep RL in stock market trading

rsd-engineeringcourse

Course materials for Research Software Engineering course.

rsd-engineeringcourse-1

Materials for Turing's Research Software Engineering course

s5p-tools

Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission

sakhlandslide

Application for forecasting seismogenic landslides

sar_cd_ddnet

Change Detection in Synthetic Aperture Radar Images Using a Dual Domain Network, IEEE GRSL 2022

sar_ship_detect

Ship detection on radar images using Keras

satellite-labelling-tool

Satellite labelling tool for manual labelling of storm top features such as overshooting tops, above-anvil plumes, cold U/Vs, rings etc.

satelliteimage-googleearth

sdsr

Spatial Data Science: With Applications in R (source files)

segmenter-vae

This is my implementation of a special Variational Autoencoder under TF 2.0, which make it possible to squeeze N images to generate one single representation of all the dataset with colors segmentation of the difference objects

seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

seismo_live

Live Jupyter Notebooks for Seismology