Lydiaargh

hurricane-wind-speed-cnn

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

land-cover-and-socioeconomic-data

Code for joining NLCD class statistics to Census Tract definitions.

mosaiks-paper

python-windspeed

Predicting hurricane windspeed from satellite images

satellite-imagery-labeling-tool

This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.

serverless-full-stack-apps-azure-sql

Full stack solution using Javascript, Azure Static Web Apps, Azure Function, Azure SQL Database and a microservice architecture to monitor in real-time public transportation data, create a geofence and send notification when geofence is activated

simple-maps

Python library for easily creating maps from a shapefile and external data.

techniques

Techniques for deep learning with satellite & aerial imagery

Lydiaargh/hurricane-wind-speed-cnn

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

Lydiaargh/land-cover-and-socioeconomic-data

Code for joining NLCD class statistics to Census Tract definitions.

Lydiaargh/mosaiks-paper

Lydiaargh/python-windspeed

Predicting hurricane windspeed from satellite images

Lydiaargh/satellite-imagery-labeling-tool

This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.

Lydiaargh/serverless-full-stack-apps-azure-sql

Full stack solution using Javascript, Azure Static Web Apps, Azure Function, Azure SQL Database and a microservice architecture to monitor in real-time public transportation data, create a geofence and send notification when geofence is activated

Lydiaargh/simple-maps

Python library for easily creating maps from a shapefile and external data.

Lydiaargh/techniques

Techniques for deep learning with satellite & aerial imagery