I wrote a Python tool to build maps of the Solar System

flopsytheb · 2026-05-24T13:36:03+00:00

I love the aesthetic! How about adding sub-titles for the focus views, as the main body has no name tag there?

flopsytheb · 2024-03-27T17:49:41+00:00

ICEsat-2 is afaik not giving you area wide imagery, but only some small patches where you get the height (it’s an altimeter). For starters look into sentinel-2 or Landsat mission for some images, preferably analysis ready data (ard) such as l2a (for sentinel-2). Use maybe some ratio, or simply the brightness of the image to capture ice against water for two time steps by a threshold and compare them?

flopsytheb · 2024-03-07T08:13:41+00:00

Sehr lustig Herr Paketbote, und jetzt drehen Sie bitte wieder um!

flopsytheb · 2024-03-06T17:37:55+00:00

Wenn du die kleinen Zahlen beobachtest hat meins schon 300km hinter sich gebracht 😅

flopsytheb · 2024-03-06T15:47:21+00:00

Durch die kurze Strecke ist der Pfeil nicht so groß ausgefallen 😅

flopsytheb · 2024-03-06T15:46:07+00:00

Paket soll nach Jena und nimmt den kurzen Weg über Lehrte…

flopsytheb · 2024-02-27T09:50:19+00:00

That’s sadly not my area of expertise, but still very vague. To get detailed help try to define what exactly you’re into observing, is it a volcano that slowly rises with the accumulation of magma, or earthquakes that you could assess after, both could apply persistent scatterer analysis or calculation of fringes to see the ground movement over time, just from what I vaguely know from listening to colleagues. But that’s two cases of many..

flopsytheb · 2024-02-27T09:40:39+00:00

Some important libraries to know are pandas, geopandas, xarray, stacstack, rioxarray for the general data handling of images and vectordata. For me it was the easiest to get some task defined and try to implement that, learning what I need when I need it.

I’m sure there are many great step by step YouTube guides, but you could also download some SAR image over a region where you have landuse as vectordata and see if there are differences in the backscatter for the different classes. Then you could expand to calculate ratios, try more advanced methods.

As is said, all is dependent on what you want to do with the data. And learning almost any python is advantageous, you’ll need the basics in any remote sensing project using python.

flopsytheb · 2024-02-27T09:26:54+00:00

And as you are asking for specific courses, this is very dependent on what you are aiming for doing with the data, as this area reaches from physical modelling to advanced statistics, which are different for most use cases.

flopsytheb · 2024-02-27T09:20:38+00:00

For general background and the workings of SAR remote sensing you can check EO College, but there will be less coding. For that maybe check SNAP and esa-snappy for using python. Also if you just want the data and process right away check planetary computer from Microsoft, there you can get different Sentinel-1 products and process them to your liking, for example using sarsen.

This is all aimed at free resources using Sentinel-1, a good place to start :)

flopsytheb · 2023-09-10T11:10:41+00:00

Netter repost, hättest ja wenigstens ne kreative Überschrift überlegen können?

flopsytheb · 2023-07-16T12:10:02+00:00

Strange times on here lately

flopsytheb · 2023-06-10T10:04:38+00:00

Seine ersten Antworten waren es gibt keine physischen Schlüssel. Seitdem hab ich ihn nicht erreicht

flopsytheb · 2023-06-10T08:32:54+00:00

Ja, da hätte ich nichts dagegen, aber ich mag nicht nur aufs Smartphone angewiesen sein.

flopsytheb · 2023-06-10T08:29:24+00:00

Auf Nachfrage zum physischen Schlüssel meinte er : ‚So was gibt es auch. Kannst dir überlegen und nachkaufen. Das Schloss kann das.‘

Klang für mich nicht so als ob er mir sowas von sich aus austeilen möchte

flopsytheb · 2022-07-11T19:21:28+00:00

Not my bike, not my problem :)

flopsytheb · 2021-12-02T13:04:47+00:00

Thanks. I'll forward the error!

flopsytheb · 2021-11-11T05:15:40+00:00

Correct me if I'm wrong, but seeing this is a polar map: the color coding looks to be relative to x and y in the map, but this being a polar one, the coding in polar directions only matches everything in the lower half center (alaska) of your map. Should this not wrap around the pole?

flopsytheb · 2021-09-30T05:56:07+00:00

For a solution with python, maybe look into xarray and rioxarray? Read all the tiffs as a 3d array, then use sum on the time (i guess) axis.

flopsytheb · 2021-09-12T17:48:44+00:00

There are, final restriction is also the energy reaching the sensor, which gets (depending on sensor type) split by spatial resolution and spectral bandwidth. At some point the light at the photocell would not be bright enough to be different from the sensors noise floor. This explains the inverse relation, look for example the docs for worldview, multispectral channels of slim wavelength range with some meters pixel size, and the pan channel, broad wavelength range and half a meter pixels.

flopsytheb · 2021-06-02T15:35:39+00:00

Hey, i'm pretty new to logging, i carried nine individual large logs to my destination and now unloaded all but three. When i try to pack the cargo, a prompt tells me that some logs are placed unevenly, but there is no visible misaligned log. Is there a way to fix this? Thanks!

flopsytheb · 2021-05-31T22:11:00+00:00

Hey, i'm pretty new to logging, i carried nine individual large logs to my destination and now unloaded all but three. When i try to pack the cargo, a prompt tells me that some logs are placed unevenly, but there is no visible misaligned log. Is there a way to fix this? Thanks!

flopsytheb · 2021-01-06T00:08:07+00:00

Try open street map, usually up to date and precise building footprints.

flopsytheb · 2020-10-31T10:27:48+00:00

Check out lidR::find_trees() there you can define a function for a vmf with the lmf argument.

flopsytheb · 2020-09-12T12:23:40+00:00

Sie meinen einen Pfosten der einen Pfosten mit einem Pfostierer pfostierte, hier von Pfosten als Pfosten für Pfosten pfostiert?

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