A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image

This open-source package provides a framework for automatically detecting and extracting metadata from solar array installations in satellite images.

Analysis satellite images of typhoons in deep-learning (CNN).

Imperial College Storm Model

Visualize GOES mesoscale data in a browser map

Tropical cyclone intensity change forecast graphic aid

ParaTC: Python functions and classes for generating parametric tropical cyclone models.

Collect Post-Storm Imagery from NOAA

Code release for "Flood Extent Mapping During Hurricane Florence With Repeat-Pass L-Band UAVSAR Images"

Interactive hurricane impact analysis dashboard for UNICEF. Visualizes probabilistic and deterministic hurricane forecasts, assessing risk to population, schools, health centers, and infrastructure. Built with Dash and powered by the giga-spatial package for geospatial data processing.

Twitter Semantic Data Mining for Harvey Hurricane Credible Event Detection

Backend code for data-driven hurricane regional loss estimation of actual constructed buildings

Command-line tool and Discord bot which presents ATCF and Best Track data.

Python program to parse hurdat2 files and identify closest NHC breakpoints for each record

Some bokeh apps wrapped in flask to visualize hurricanes.

Natural disaster integration for hurricane, wildfire, and earthquake exposure.