Processing LiDAR data is also quite expensive in terms of the hardware required and expertise of the people needed to correct the data back at the office. Typically LiDAR processing workstations have around 128-256 GB of RAM and a large RAID array of SSDs to quickly perform corrections interactively.
After the initial correction, most of the data is thrown out or "filtered" down to just the points of interest to save on space. Since it's quite easy to end up with hundreds of TBs worth of point data within a few months of collection. If the team is using colorized LiDAR, orthographic, and oblique images then that can take up even more space.
So the short answer to why more of the world hasn't been mapped with LiDAR techniques is money, time, and storage space. But with self driving cars now making LiDAR more prevalent, and storage space becoming more affordable every year, mapping whole regions with LiDAR is a more reasonable task.
NOTE: One of my former jobs was working with aerial LiDAR collection teams to manage the data and processing of the collected assets. This was around 2012 so some of the numbers may have changed since then.
So ultimately it sounds like I have to wait a decade or so before we can really proliferate, and to speed it up need a few more eccentric billionaires to get into funding some cool projects.
I'll use your information as jumping points to find out more.
If it were possible to apply kinematic geo-correction along with point filtering and feature detection during collection then a lot of the "heavy" data could be reduced down to what is just needed for human verification.
If you want to start your investigation with existing projects you could have a look at what the United Kingdom is doing with their government LiDAR data sets[0][1].
[0] https://www.gov.uk/government/news/environment-agency-uncove...
I like the tech because of its ability to prevent the destruction of archaeological sites while still allowing for discovery that would otherwise require an immense amount of digging and other labours.
It's cheaper to fly with a fixed wing aircraft, but you will typically get lower density assets and the possibility of obscured imagery due to cloud coverage because of the higher collection altitude. However the advantage is you're able to cover a wider collection swath with each pass, and it's a lot easier to fly a fixed wing vs. helicopter so the pilots are cheaper.
Also typically you want an absolute vertical accuracy of +/- 5cm during flight in order to confidently map the surface features below foliated vegetation cover. This requires quite specialized differential GPS equipment as well as a radio/cellular connection to a commercial GPS ground station network. With the improvements in GLONASS/GALILEO constellations maybe the ground networks are not as critical anymore.
In a straight line, it’s smaller than we might expect: People can (and do) walk across continents, sail across oceans in one-person boats, fly all the way around in 2 days, visit every country at least once during their life, etc.
But of course the surface is two-dimensional, we can’t see very far at a time. The land surface is about 150 million square kilometers. (For reference, New York’s Central Park is about 3.4 square kilometers.)
It’s also “fractal”, in the sense that as we look at smaller and smaller pieces, we keep noticing more and more details. Every little patch of soil is teeming with tiny animals, plants, fungi, and bacteria.
Or if you like, there are probably at least 10 million restaurants in the world (maybe an order of magnitude more, it’s hard to guess). If you eat at 3 different restaurants every day for your whole life, it will take more than 100 lifetimes to eat at all of them. Then there are the 150 million books to read. Etc.
But hey, if that were doable, why not just build space habitat's?
If you are willing to pad the Earth with buildings 16 km high, you could pack at least 1000 times more people, more likely 1 million times more.
Maybe that letter to Science mentioned 10^18?
And, in case it's not obvious, it's not a world that I'd care to live in.
Space habitats require thinking in terms of systems, dealing with inputs and outputs. Humans haven't mastered systems thinking yet.
A private small-aircraft flight over any populated area (other than the biggest cities) reveals just how sparse most towns are. Travel almost any direction away from a main highway and in a minute or two you'll be looking at trees, trees, trees (or desert/mountains/fields).
It helps give one an entirely new perspective when we're used to traveling along roads and seeing unyielding flows of civilization, when the reality is those are mere ribbons of development criss-crossing what is still mostly empty, disinterested nature.
There are very few wild areas left. Usually only at far off areas or very steep terrain.
see also:
If all 7.4 billion people on the planet all consume 3 burger patties a day, all drive internal combustion powered vehicles, and all have a new iphone each, that would very quickly require an extreme amount of resource consumption - it is unsustainable.
Of course, if you just want "as high a population at any cost" the earth can probably sustain trillions of humans, but the bulk of those humans would have no clean water to drink, with no access to clean air, no access to a livable wage, no reasonable access to hospital and emergency services, etc.
You could have a trillion slaves, all pampering the lives of a the select few hundred billionaires who own everything. That's the real fear of overpopulation.
My ignorance on the subject of LIDAR has me wondering why we can't use a faster traveling vehicle, or would it be possible to do perform scans with something like a fleet of balloons that stream the data back vs one static device.
IIRC, the Google self-driving car used LIDAR. Though their localization algorithms included many sensors, with the LIDAR data was just one of them.
https://en.wikipedia.org/wiki/On_Exactitude_in_Science
""On Exactitude in Science" or "On Rigor in Science" (the original Spanish-language title is "Del rigor en la ciencia") is a one-paragraph short story by Jorge Luis Borges, about the map-territory relation, written in the form of a literary forgery."
"Just scan the fuck out of it and look for wierd stuff" is the dream but at the moment (as the other comments point out) we can't just scan everything but ALSO we don't know what's wierd.
Is it prohibitively expensive at this point? Is the computation [relatively] expensive? Is there a sound reason we don't race to do more?
I get the feeling this kind of data could inspire generations of new archaeologists and historians.
There are also some pseudo-archeological and pseudo-historical claims that might be put to rest (or less likely, cause a revolution in human self-knowledge). Eg: https://en.wikipedia.org/wiki/Bosnian_pyramid_claims
I would also love to see plots like Cahokia (and others like it) scanned: https://en.wikipedia.org/wiki/Cahokia