OSINT At Home #10– How to map everything with freely available location data

OSINT At Home #10– How to map everything with freely available location data

HomeBendobrownOSINT At Home #10– How to map everything with freely available location data
OSINT At Home #10– How to map everything with freely available location data
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This tutorial is part 10 of the OSINT At Home series. It covers how to create custom maps using publicly available data about anything. For example, you can create a map like this one I made of public water fountains and public toilets in London, which I use to plan my runs: https://maphub.net/bendobrown/london-runners-helper

I also included a few examples in the video, such as mapping CCTV cameras in Munich or gas well locations in Australia. Take a look around the wiki I linked to as there are many opportunities to collect and map data based on what you are researching, researching or interested in.

The tutorial specifically covers how to use Overpass Turbo, which allows you to query the Open Street Map (OSM) database and export those points as KML, GPX, GeoJSON, or other file types so you can import them into Google Earth or another can load file. mapping platform you use. I've also covered some frequently asked questions in this tutorial, such as how to drop a kml or kmz file into Google Earth, which is as simple as dragging and dropping, and I've also covered how to upload these datasets to a free platform to use called MapHub, where you can create public or team maps for your hobbies, research or projects.

It should be noted that all data, from any source, must be verified before it can be relied upon. For example, I checked the locations of CCTV cameras or water drinking points by viewing them via Google Streetview. However, they may have some restrictions as some of these features may be closed or removed – so it's always a good idea to check your details.

The OSINT At Home series is useful for those who are looking for digital breadcrumbs and want to pick up some methods of open source intelligence (OSINT), digital research and good old simple research. No matter who you are or where you are in the world, you can follow these tutorials from home with publicly available information to answer questions like who, what, where and when.

TOOLS
Viaduct Turbo: https://overpass-turbo.eu/
Open Street Map Wiki: https://wiki.openstreetmap.org/wiki/Category:Amenities
Open Street Map Org: www.openstreetmap.org
Google Earth Pro: https://www.google.co.uk/earth/download/gep/agree.html

MORE RESOURCES
NixIntel Part 1: https://nixintel.info/osint-tools/getting-started-with-overpass-turbo-part-1/
NixIntel Part 2: https://nixintel.info/osint-tools/getting-started-with-overpass-turbo-part-2/
Geojournalism: https://geojournalism.org/2013/08/how-to-map-photos-using-openstreetmap-and-tilemill/
Towards data science: https://towardsdatascience.com/geospatial-data-and-tools-for-analyzing-covid-19-9eaf298512

SUPPORT ME:
Please consider supporting this content so I can create more and keep it free, independent and accessible to everyone in the world: https://ko-fi.com/bendobrown

MY SETUP:
Apple Macbook Pro 16 inches: https://amzn.to/3rTWhW3
Logitech MX Anywhere 2 mouse: https://amzn.to/3phQp7v
Blue Yeti USB Microphone: https://amzn.to/3ajixmb

CREDITS FOR THIS TUTORIAL
Image material: Google Earth/Landsat Copernicus
Data: OpenStreetMaps
Music Intro: World's Fair – God Mode
Music End: Dhaka by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/
Source: http://incompetech.com/music/royalty-free/index.html?isrcUSUAN1400003
Artist: http://incompetech.com/

QUERIES AND CODE RULES USED IN THIS TUTORIAL
Find drinking water: amenitydrinking_water in London
Search for public toilets: toilet facilities in London
CCTV camera search: man_madesurveillance in Munich
Search for petroleum wells: man_madepetroleum_well

Drinking water style coloring
{{style:
junction[drinking water facilities]
{ color blue; fill color: blue; }
}}

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