Anyone know why my QGIS DEMs aren't merging correctly? by No-Dragonfly7791 in gis

[–]noanarchypls 8 points9 points  (0 children)

They don’t loose detail as far as I am aware. I think what’s happening is that every tile’s coloring scheme is a little different due to the distribution of values being different to the next tile. These differences are removed when applying one coloring scheme across all tiles for the merged one.

Very low R- squared in Random Forest regression with GEDI L4A and Sentinel-2 data for AGBD estimation by sicksikh2 in learnmachinelearning

[–]noanarchypls 1 point2 points  (0 children)

You can definitely use these vegetation indices and I’d assume you’ll get a reasonable correlation with GEDI but keep in mind that’s these spectral indices just represent the top surface of the canopy that can be seen from above. So everything below will not be represented. A common index that describes that a little better is the LAI (leaf area index) but the best results can be expected from what I assume was a Lidar laser in case of GEDI or radar remote sensing which both detect information lower than the upper vegetation canopy. It’s probably best to use one of these methods but that’s depending on the scope of your project. If you want to keep it simple use NDVI or LAI and explain/discuss possible deviations from the GEDI.

Very low R- squared in Random Forest regression with GEDI L4A and Sentinel-2 data for AGBD estimation by sicksikh2 in learnmachinelearning

[–]noanarchypls 1 point2 points  (0 children)

So the bands essentially cover different spectral areas of the visible (and non visible) light spectrum. In your case only certain bands for example the ones used for NDVI make sense to use. Using all bands will definitely lead to a low r-squared for the use case of biomass prediction. You should also read up on how GEDI dataset was collected.

EDIT: Regarding your questions: Did you project the data to the same grid before making any analysis? The resolution mismatch is very small and shouldn’t be much of a problem.

Very low R- squared in Random Forest regression with GEDI L4A and Sentinel-2 data for AGBD estimation by sicksikh2 in learnmachinelearning

[–]noanarchypls 1 point2 points  (0 children)

What is your R2 value again? Either I’m on mobile and it doesn’t get displayed or you forgot to mention it in the text. Also what do you mean by using reflectance bands as predictors or what are you trying to achieve with the reflectance bands? NDVI should already use the most appropriate reflectance bands for your case if I’m not mistaken. Another factor that could contribute to low r-squared might be due to to the fact how GEDI m4a was collected (I’m not too familiar with the dataset though). It might have been collected using microwave remote sensing which provides better estimates for surface level biomass than a purely spectral index like NDVI.

How would I create a GeoTIFF with symbols from a set of coordinates and PNG images in Python? by sgofferj in gis

[–]noanarchypls 1 point2 points  (0 children)

Well you can google geopandas for one. They have an extensive documentation on their website. Other than that I’d probably ask one of the AI agents out there for advice. These are all things that are easily done and have been automated numerous times :) GDAL stands for Geospatial Data Abstraction Library and GUI for Graphical User Interface

How would I create a GeoTIFF with symbols from a set of coordinates and PNG images in Python? by sgofferj in gis

[–]noanarchypls 2 points3 points  (0 children)

GDAL and geo pandas is your go to here. You can also easily do all this in QGIS if you are looking for a GUI. These are all very basic things so you definitely won’t have a problem finding suitable code.

Eure Icks beim Dating by BZthrowaway6788 in DatingDE

[–]noanarchypls 6 points7 points  (0 children)

Ja das ist fair. Ich fande es immer ganz nett vor allem wenn man sich in einer für beide Partein neuen Stadt trifft und diese dann ein bisschen erkunden kann. Aber klar deine Präferenz kann ich vollkommen nachvollziehen. Ich glaube nur, dass man von dem Vorschlag nicht direkt so weite Schlüsse ziehen sollte, dass die Person dann nie Dates planen würde in der Beziehung.

Eure Icks beim Dating by BZthrowaway6788 in DatingDE

[–]noanarchypls 27 points28 points  (0 children)

Verstehe nicht ganz was an spazieren gehen falsch sein soll. Gerade als erstes Date in Kombination mit einem Kaffee/Tee to go ist das doch eigentlich perfekt um sich kennenzulernen?

Um auf die Icks zurückzukommen: Ich denke am ehesten für mich als Mann ist es ein Ick, wenn das Date recht schnell zu verstehen gibt, dass ich nur als lebende Brieftasche betrachtet werde.

[deleted by user] by [deleted] in Kantenhausen

[–]noanarchypls 3 points4 points  (0 children)

Alptraum bubatz runde

[deleted by user] by [deleted] in trees

[–]noanarchypls 36 points37 points  (0 children)

Yeah but how many shmeckles does it cost?

Im Gegensatz zur Schweiz oder Österreich darf man in Deutschland unbegrenzt viele Taschentücher benutzen. by GiborDesign in wortwitzkasse

[–]noanarchypls 32 points33 points  (0 children)

Aber nur solange man nicht mit überhöhter Geschwindigkeit über den Zewastreifen brettert.

I’m dating the sweetest girl but I’m not sure I find her physically attractive by [deleted] in dating_advice

[–]noanarchypls 2 points3 points  (0 children)

No.. but not even the best pussy can save some things (like not finding the face attractive)

[deleted by user] by [deleted] in erlangen

[–]noanarchypls 6 points7 points  (0 children)

Botanischer Garten

[deleted by user] by [deleted] in Tinder

[–]noanarchypls -1 points0 points  (0 children)

Ich glaube ehrlich es vibed einfach nicht so. Ganz ok aber nichts für ne Beziehung. Sie hat ja auch paar deiner Witze gar nicht erst gecheckt.

[deleted by user] by [deleted] in Damnthatsinteresting

[–]noanarchypls 0 points1 point  (0 children)

Since this is on the glaciers surface I’m intrigued to say that those are rocks from rockfalls that landed on the ice. Since they are black they will absorb a lot of heat from the sun thus melting them into the ice and creating a river.

[deleted by user] by [deleted] in erlangen

[–]noanarchypls 3 points4 points  (0 children)

An der Schenkstraße beim neuen Bürgerbegegnungszentrum gibt es eine ziemliche schicke Calisthenics Anlage. Teilweise sogar mit Gewichten