PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
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Updated
Oct 27, 2024 - Jupyter Notebook
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
A Django application to archive real-time earthquake notifications from the USGS's Advanced National Seismic System
the natural disaster algerian api
Web based data visualisation project about natural disasters using d3.js
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Machine learning based natural disaster prediction for US counties
[🥉 3rd place] Detect damaged building by natural disasters and get a brief information about it.
Exploring deaths by natural disasters, and possible relations to climate change.
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.
Messiah: The Mighty Son Of God Is Here To Help You Through Times Of Calamity
Alert users of impending Disasters near them, provide them with relief info.
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A webapp that displays natural disasters on an interactive map. Built with Mapbox and LeafletJS.
Modular structure that feeds on instant data, warns about natural disasters and conveys what needs to be done
Repository for model of models development.
A visualisation of natural disasters, pandemics, and extreme weather events in python over periods of time and locations.
Jupyter Notebook for representing the data of world-natural-disaster events
[WIP] Get smart insights, alerts & warnings about predicted natural disasters and take precautions before they arrive to keep family, friends & yourself safe.
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.
To associate your repository with the natural-disasters topic, visit your repo's landing page and select "manage topics."