41–45 of 45 posts
Some lakes undergo drastic changes through the seasons. I know of a few that go from dark blue(late fall, early spring) to brown(spring runoff sediment) to dark green(algae in summer) in a single year.
Obviously this is just for fun, but I am a bit disturbed about similar projects that try to gain some meaningful insights out of vast public data sets without the slightest attention paid to the quality of the data used. It doesn’t matter how much processing you do or how clever your algorithms are if the underlaying data is inaccurate, out of date, inconsistent, non-normalized, incomplete, etc. No dataset is perfect…
Indeed, this story is a very good example of that in the academic world (Economics): https://nitter.poast.org/andreloez/status/181747110580160124...
Earlier quoted context omitted.
Yeah I stopped taking this post seriously when I read this sentence: > I fetched the satellite image tile for the zoomed-in region of each lake center and read a single pixel at the center of the tile, which should give us an idea of the lake’s color
Well, I mean, it's an idea.
To be honest, just picking a random pixel would have been fine, too, anything else is an overkill.
Well, here in Massachusetts we have Lake Chargoggagoggmanchauggagoggchaubunagungamaugg, which doesn't describe its color but does mean "lake divided by islands" and is a pretty accurate, if long winded, description of it.
Many of them don’t have meanings and I’m not sure what they mean to further analyse like you did.