Geolocation using Power Difference of Arrival (PDOA) algorithms

Several PDOA Algorithms are described for the geolocation estimation of non-cooperative emitters. First, three statistical techniques are explored, followed by a method that computes the highest density of circle intersections which represent potential emitter locations. Finally, thress least squares approximations will be presented.

Algorithm	Completion
Non-Linear Least Squares	✔
Naive Intersection Density	✔
Modified Y.T.Chan's Least Squares Method	✔

Introduction

This repo demostrates how to build a multi-page Earth Engine App using streamlit and geemap. You can deploy the app on various cloud platforms, such as share.streamlit.io. Make sure you set EARTHENGINE_TOKEN='your-token' as an environment variable (secret) on the cloud platform.

• Web App: https://geemap.streamlit.app
• Github: https://github.com/giswqs/geemap-apps

Where to find your Earth Engine token?

• Windows: C:/Users/USERNAME/.config/earthengine/credentials
• Linux: /home/USERNAME/.config/earthengine/credentials
• macOS: /Users/USERNAME/.config/earthengine/credentials

How to configure GoogleEarth API nonsense?

• https://gis.stackexchange.com/questions/350527/authentication-issue-earth-engine-python-using-ee-serviceaccountcredentials
  • https://developers.google.com/earth-engine/guides/service_account
  • https://signup.earthengine.google.com/#!/service_accounts
  • https://console.cloud.google.com/iam-admin/serviceaccounts/details/104607698050885815618;edit=true/keys?project=shiva-intern

How to run the web application

cd into the folder web_app is located. Then run the following command, streamlit run app.py Then, a local server will open in a web browser.

Full project steps for reference

• https://blog.streamlit.io/creating-satellite-timelapse-with-streamlit-and-earth-engine/