PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
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Updated
Sep 25, 2024 - Jupyter Notebook
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
Fractal alert is a repository for developing an effective warning system that would predict and prevent the impact of natural disasters such as earthquake, hurricanes, floods, etc.
Detects emergency situations using an React-Native app and Firebase
Jupyter Notebook for representing the data of world-natural-disaster events
Graduate deep learning course projects: Physics-informed neural networks for simulating physical systems and CNN-based wildfire prediction models.
Alert users of impending Disasters near them, provide them with relief info.
A collection of weather, natural disaster, and US Census data processed and ranked to find the ideal home location for each individual's preferences.
Repository for model of models development.
Modular structure that feeds on instant data, warns about natural disasters and conveys what needs to be done
[🥉 3rd place] Detect damaged building by natural disasters and get a brief information about it.
the natural disaster algerian api
A Django application to archive real-time earthquake notifications from the USGS's Advanced National Seismic System
The PyDisaster project uses a master function that extracts GPS location and EXIF data from photos submitted to our Flask application platform, and opens a Google Maps search of the location. This project is geared towards helping FEMA conduct damage assessments in areas effected by natural disasters.
[WIP] Get smart insights, alerts & warnings about predicted natural disasters and take precautions before they arrive to keep family, friends & yourself safe.
Repo containing model training on high resolution flood response drone RGB drone imagery with pytorch and semantic segmentation models.
Exploring deaths by natural disasters, and possible relations to climate change.
Using Observable to make data visualizations
ResQ is a socially responsible Flutter Application. It assists the flood rescue operations.
Prediction of market premiums for property damage and business interruption insurance products. Added natural hazard data and stacked 3 best models as the final model.
Student research paper on precaution and prevention of natural disasters
Add a description, image, and links to the natural-disasters topic page so that developers can more easily learn about it.
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