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artificial-neural-network-coastal-flooding

This project describes the ANN used for coastal flooding

cddisdatadownloader

This is a small set of utility GUI programs that can be used to bulk download CDDIS GNSS data. This data includes GNSS Observation Data, Navigation Data and Precise Orbit Data. These data items are mainly useful in performing scientific processing using programs like gLab, Matlab, GAMIT, PRIDE_PPPAR etc.

cloudy_flood_prediction

Python and Google Earth Engine ML workflow for estimating inundation beneath clouds for flood mapping based on auxiliary data.

coastal-dss

Decision support framework for coastal risk management: a Bayesian Network approach

coastalmodels

The development of tools used for the analysis and modeling of flood hazards.

crisis_mapping_flood

This code provides methodology for preparing flood hazard maps in a replicable way, particularly for the coastal cities where floods pose a recurrent danger because of climate change and its impact on sea level rise. Taking San Francisco, California as an example and using OpenStreetMap data from OSMnx Python Package, our study compiled a crisis map indicating hazard prone areas for evacuation management or emergency access.

datatools

A collection of data analysis tools for post-processing raw data and importing to python for further analysis.

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

estimating-coastal-city-flooding-risks

flood-disaster-prediction

This project is developed in Python and it proposes the development of a Bayesan Network to infer the probabilities of serious floods in the territory of the Italian region Veneto.

flood-disaster-prediction-1

This project is developed in Python and it proposes the development of a Bayesan Network to infer the probabilities of serious floods in the territory of the Italian region Veneto.

flood-risk-prediction

Predict flood risk using Bayesian Network with pgmpy.

flood-risk-prediction-1

Predict flood risk using Bayesian Network with pgmpy.

flood-risk-prediction-2

Predict flood risk using Bayesian Network with pgmpy.

floods

Severe floods analysis with python pandas

grflood

A Python package for flood forecasting

how-to-build-android-apps-with-kotlin

A hands-on guide to developing, testing, and publishing your first apps with Android

master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

nasa-sees-2021-emergency-preparedness

NASA SEES Emergency Preparedness Team 2021: We used Google Earth Engine tools and satellite imagery to examine patterns with extreme heat, wildfires, floods, and tropical storms. This repository includes both our presentation and code for our research. Our presentation explains our project's code and methodology as well as our future interests.

parallel.gamit

Python wrapper to parallelize GAMIT executions

rgee

Google Earth Engine for R

shinybn

shinyBN: An online application for interactive Bayesian network inference and visualization

the-data-science-workshop

A New, Interactive Approach to Learning Data Science

the-go-workshop

A New, Interactive Approach to Learning Go

the-python-workshop

A New, Interactive Approach to Learning Python

the-sql-workshop

A Practical, No-Nonsense Introduction to SQL

wave-overtopping-bayesian-network

Repository holding data and scripts used in my MSc project "Probabilistic Modelling of Coastal Flooding using Pair-Copula Bayesian Networks"

wekeo_ai4em_mooc