The Red Atlas: How the Soviet Union Mapped the World
redatlasbook.com
redatlasbook.com
https://i.imgur.com/BxDJC6f.jpg (direct link)
https://imgur.com/a/FiEGm (Imgur page in case the above doesn't work)
The map appears to date from the early 1970s: Highway 280 is there but appears to have Cañada Road routing from before the ridge freeway was finished. Or I could be misreading that part of the map and it is from later, maybe the 1980s?
It's interesting how many inaccuracies there are. Living in Menlo Park, I checked a few local landmarks. Palo Alto Airport is in the right place, but where is San Carlos Airport? They seem to have moved it across the street from Facebook!
And note the airport near where 280 and Highway 92 cross.
The map is also very hard to read. Look at Highway 101. Unlike 280, it's mostly in white, but if you follow it through Redwood City just north of Woodside Road (Highway 84), it looks like 101 is routed along Veterans Boulevard - which was bypassed years before this map was made. If you look again, there is a brown stretch that is close to the actual freeway alignment.
Then follow 280 down into Los Altos, where it changes from brown to white as it approaches Cupertino and into San Jose. This bit of randomly swapping freeway colors between brown and white seems to be a common theme.
Many of the local streets are recognizable but have a very approximate hand-drawn look to them. I'll be curious to hear what anyone else notices in their neighborhood.
This is easily the most interesting, and worst quality, map of the Bay Area I've seen. I wonder why it has so many little things wrong, when they could have simply sent a spy into any local gas station to buy an accurate, well drawn, and easy to read road map?
Secondly, i suspect the inaccuracies comes from using satellite photos to draw the maps.
But also it would have put the map-making organization out of work.
[0] http://www.nytimes.com/1988/09/03/world/soviet-aide-admits-m...
I'm trying to think of a job or activity that involves scoping out military bases, keeping detailed records of their locations AND getting them home without getting caught at any step in the process. Even today taking a photo of the wrong building in the wrong country can get you into deadly trouble.
Even if your agent is successful, how do you know that he is not misleading you? You now have to risk losing another agent doing the same thing again, just to make sure. Even if your agents don't get caught, they may have come to the attention of and be secretly monitored by the local intelligence services, just to see what they are up to.
Lastly, is confirming the specific location of a base worth losing one or more spies over when knowing the general area is already "good enough"? Your bombers can confirm the location with their eyes (I know of at least one USSR aircraft design with windows on the bottom of the cockpit for exactly this purpose), and your nuclear warhead doesn't really care which side of the road an airport is on.
Or your agent may have been "turned" by the opposition and they're feeding incorrect information back to you.
But I'll find on desktop and find them...
How do you know that it is accurate?
I even heard of some maps with a 'sliding scale' that eg has the city centre larger. You can't even do that on a flat piece of paper without serious distortions in your coordinates.
https://en.wikipedia.org/wiki/Trap_street
If we couldn't catch the spies for spying, at least we could catch them for copyright violation.
> In GPS technology, the term "COCOM Limits" also refers to a limit placed on GPS tracking devices that disables tracking when the device calculates that it is moving faster than 1,000 knots (1,900 km/h; 1,200 mph) at an altitude higher than 18,000 m (59,000 ft).[2] This was intended to prevent the use of GPS in intercontinental ballistic missile-like applications.
/EDIT SEE BELOW
AFAIK star-based and inertial navigation.
For the shipping containers (not ballistic missiles) they'll most likely smuggling these in on, for the next few years, any COTS system (on an appropriately flagged freighter) will suffice to get them across the Pacific. From there they'll just usual visual identification to get it close enough to place it could do enough damage. Like near the Embarcadero, say.
https://www.wired.com/wp-content/uploads/2015/07/detail-sovi...
It looks to me that it's to do with contrast against the surroundings. The build up areas are brown and the roads through them are white, when the roads leave the build up area they change to brown. This contrasts against the white background giving a visual continuation of the road.
The brown sections of the road are also thicker, perhaps that indicates multiple lanes or even possibly different road surfaces.
You might want to jump straight into the examples: https://redatlasbook.com/cityplans
Flash is needed though...
[0] https://en.m.wikipedia.org/wiki/Military_Load_Classification
What I don't understand is your claim that "you could just as well consider them metric tons". These are short tons with caveats, i.e. the eventual number depends on more than just the raw weight, but the raw weight is one aspect of the calculation.
So if you were to make that calculation on the basis of metric instead of lbs how aren't you going to introduce something like a 10% error in the MLC you come up with?
If you were afflicted with the military and were planning on using these sites on your own hardware regularly, you'd install their certificates: https://iase.disa.mil/pki-pke/Pages/tools.aspx
I just wanted to say that this is a truly excellent typo.
*Affiliated
> When Google Chrome tried to connect to www.sddc.army.mil this time, the website sent back unusual and incorrect credentials. [...] You cannot visit www.sddc.army.mil right now because the website sent scrambled credentials that Google Chrome cannot process.
I had to type 'badidea' to bypass the error. https://www.reddit.com/r/sysadmin/comments/42xd4i/chrome_dan...
Makes sense to me that the soviets collected everything.
Is it? Arguably, the mapping efforts of Google and others have reached further and collected more and more accurate data (street view, lidar, etc.).
For what it's worth: Google Earth (and Google Maps) have 3d buildings and vegetation etc now, too.
(But I wonder whether it's based on new data, or they just use machine learning to guess the 3d shapes from the 2d data they already had.)