A Quote by Sarah Parcak

Archaeologists use datasets from NASA and commercial satellites, processing the information using various off-the-shelf computer programs. These datasets allow us to see beyond the visible part of the light spectrum into the near, middle, and far infrared.
Looking at scientific inquiry, next paradigm will be based on very large datasets. Scientists are in the lead in handling very large datasets - Hubble telescope or Large Hadron Collider are massive datasets.
'Satellite archaeology' refers to the use of NASA and commercial high resolution satellite datasets to map and discover past structures, cities, and geological features.
For example, some stars put out large amounts of energy in the infrared part of the spectrum, so that this can produce a different relative magnitude rating than using light energy from the middle of the spectrum.
Satellites record data in different parts of the light spectrum that we can't see. And it's that information that allows satellites to be so powerful in terms of looking at things like vegetation health, finding different kinds of geology that may indicate an oil deposit or some kind of mineralogical deposit that can be mined.
What these satellites do is they record light radiation that's reflected off the surface of the Earth in different parts of the light spectrum. We use false color imaging to try to tease out these very subtle differences on the ground.
Amazing things happen when you pull individual pieces of information together into larger linked datasets: meaning emerges, as you produce facts from figures.
Everything we know about the universe is studied by using telescopes or other instruments that look at visible light, infrared, ultraviolet or X-ray - different wavelengths of electromagnetic interactions. Only 4 percent of what's in the universe gives off electromagnetic radiation, so we don't have any handle on the rest.
Satellite datasets like WorldView can see objects as small as 1.5 feet in diameter. In 2014, WorldView-3 will be able to see objects a small as a foot.
I do take a computer to do some processing live and I might use a couple of plug-in synthesisers, 'cause obviously you can take quite a lot of power in terms of sound generation on a computer that I can trigger from a couple of keyboards. And it means I don't have to take some of my vintage stuff and have it trashed by various airlines which has happened in the past. But I still take some vintage stuff with me, I'll take that risk because I like using all that stuff.
Artificial intelligence uses a complex set of rules - algorithms - to get to a conclusion. A computer has to calculate its way through all those rules, and that takes a lot of processing. So AI works best when a small computer is using it on a small problem - your car's anti-lock brakes are based on AI. Or you need to use a giant computer on a big problem - like IBM using a room-size machine to compete against humans on Jeopardy in 2011.
Archaeologists have used aerial photographs to map archaeological sites since the 1920s, while the use of infrared photography started in the 1960s, and satellite imagery was first used in the 1970s.
While massive datasets may feel very abstract, they are intricately linked to physical place and human culture. And places, like people, have their own individual character and grain.
Every time you turn on your new car, you're turning on 20 microprocessors. Every time you use an ATM, you're using a computer. Every time I use a settop box or game machine, I'm using a computer. The only computer you don't know how to work is your Microsoft computer, right?
Small, portable digital cameras that exceed the performance of an off-the-shelf Nikon using 35mm slide film are further away from current reality than the proposed NASA manned Mars mission, although I expect both to happen sometime during my lifetime.
The term "informatics" was first defined by Saul Gorn of University of Pennsylvania in 1983 (Gorn, 1983) as computer science plus information science used in conjunction with the name of a discipline such as business administration or biology. It denotes an application of computer science and information science to the management and processing of data, information and knowledge in the named discipline.
Until I reached my late teens, there was not enough money for luxuries - a holiday, a car, or a computer. I learned how to program a computer, in fact, by reading a book. I used to write down programs in a notebook and a few years later when we were able to buy a computer, I typed in my programs to see if they worked. They did. I was lucky.
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