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ee-fastapi

Flood Detection with Google Earth Engine

emmetts-ds-notebooks

Random notebooks for various projects.

ercnn-drs_urban_change_monitoring

Neural Network based Urban Change Detection with Deep-Temporal Multispectral and SAR Remote Sensing Data.

ewf-ethz-03-02-01

Identification of landslide events after large earthquakes

ez-featuretrack

An open-source, interactive, and highly customizable workflow for glacier velocity mapping using feature tracking technique and satellite images.

farquharson_amelung_2020_kilauea-nature

Figures for 2020 Kilauea paper

friendly-insar-time-series

A user-friendly workflow for producing Sentinel 1 InSAR time series with ISCE 2 and MintPy

gamma

GaMMA: Earthquake Phase Association using a Bayesian Gaussian Mixture Model

gammaglacieroffset

ge

Geomorphic Effectiveness of Landslides

geo-data-viewer

🗺️ Geo Data Viewer w/0 Py 🐍 || pyWidgets ⚙️ || pandas 🐼 || @reactjs ⚛️ required to gen. some snazzy maps 🗺️ with keplerGL ...

geoclaw_tsunami

Code I've needed to create for my research with Dr. Whitehead at Brigham Young University modeling tsunami's in Indonesia

geogg122

Scientific Computing

geonamsoil

glacier-in-rgi1305

Glacier monitoring for Western Kun Lun region in Central Asia (RGI 13-05) by using Icesat-2 data and satellite images.

gmtsar

GMTSAR

gnss-sdr

GNSS-SDR, an open-source software-defined GNSS receiver

gpm_precipitation_tools

Package for downloading and analysing NASA Global Precipitation Measurement mission data.

himawari-8_visualizer

Visualize Himawari-8 satellite data

himawaripy

Set near-realtime picture of Earth as your desktop background

hyp3_insar

A Sentinel-1 and HyP3 workflow for identifying landslide activity using an InSAR SBAS analysis.

ieee_orion_image_recognition

The objective of this Repository is to create Machine Learning code to recognize natural disasters such as oil in water, cracks in the ground (representing the earthquake) and landslide given the disaster Image

improving_unsupervised_defect_segmentation

This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".

interseismic_practical

Practical exercise for the COMET InSAR course.

in_the_name_of_deep_learning

Feature extraction using Deep Convolutional Autoencoders and image segmentation using Convolutional Neural Networks with various loss functions (Binary Cross-Entropy, Dice Coefficient) on the PASCAL dataset.

iris

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lammps

TensorFlow code trained on LAMMPS peridynamics simulations

landslide

landslide detection frcnn

landslide-classification