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#gdal

1 post1 participant1 post today
Public
Giuseppe Bilotta

I have a #GDAL / #QGIS question for the #GIS‌ commnunity in the Fediverse #askFedi concerning the use of geolocation arrays in raster datsets, i.e. in bands the hold (for example) the latitude and longitude of each cell in the raster.

I'm used to produce datasets in UTM format, for which adding the appropriate georeference metadata is simple. However, in this case I'm producing a raster dataset where the cells are distributed in a “warped” area (think aerial imagery with non-affine transform from data matrix to geo coordinates). I have arrays holding resp. the latitude and longitude of each pixel, and can add it to the dataset, I can specify the GCRS (lat/lon WGS84), but I can't seem to be able to find the metadata to add to the raster so that the goelocation arrays are correctly identified as such.

Online there seems to be only sparse documentation about this, generally implying that this is only supported for specific dataset types in specific formats (usually, the standard format from common satellite data) and the only pages I've found on how to “roll your own” refer to a single old-ish mailing list contribution that recommends the use of a sidecar VRT file. Are there any more modern solutions possible?

Public
Javier Jimenez Shaw

Do you want to contribute to an open source project?
Do you like/enjoy/love #GIS , #maps , #cartography , #surveying , #topography or #geodesy ?
Do you know C/C++? (this is optional)

You are very welcome to the communities of #GDAL or PROJ developers.
Join us!

gdal.org
proj.org

Wait a second: are you already coding in C++ or Python using these libraries? What are you waiting for!?

Hint: mailing lists are a good starting point ;)

gdal.orgGDAL — GDAL documentation
#cpp#gischat
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Michael Sumner

{gdalraster} is heading to a big release with a new class GDALVector #rstats

github.com/USDAForestService/g

It's really tight, really general and insanely powerful, low level features of #GDAL itself at your fingertips

Check it out, install from GitHub and throw it at your vector spatial data (what *you" choose to try first is incredibly valuable to the maintainers, don't hesitate to share your experiences and ideas)

GitHubGitHub - USDAForestService/gdalraster: R Bindings to GDAL (Geospatial Data Abstraction Library)R Bindings to GDAL (Geospatial Data Abstraction Library) - USDAForestService/gdalraster
Public
Giuseppe Bilotta

I'll be on vacation starting next week, so I'm going to take advantage of the time off to learn some #JuliaLang by trying to port over from #Python our fire spread simulation model. Our biggest dependency is #GDAL, but I've already seen that there's both a low-level and a higher-level interface for it, so I think we'll be fine, although I expect the different indexing (row-major vs col-major, 1-based vs 0-based) is going to introduce quite a few subtle bugs.

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Brian C. Keegan, Ph.D.

Observation:
#OpenSoftware spatial analytics tools (#QGIS, #GDAL, #GeoPandas)—despite heroic efforts from their developers—are frequently broken and/or unusable because of fragile and complex dependencies.

Research Questions:
1. Why has the open source spatial analytics ecosystem resisted greater centralization or coordination?

2. What social and material factors shape(d) these relationships?

3. How does popular proprietary software like ArcGIS distort open source alternatives?

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Niklas Alt

#Introduction Trained as a historian at the university of #Trier I started programming during my exchange year in Bordeaux, France. After my graduation I worked at the University of Trier and specialized in Historical GIS #hisgis #hgis. Currently I am working in the field of #spatialhumanities and #digitalhumanities at the Hessische Institut für Landesgeschichte in #Marburg, using Open Source Technologies (#Python, #QGIS, #Gdal, #GRASS, #OpenLayers, #Angular et. al.)

Public
Andy Britton :gdal:

#introduction (ver. mapstodon.space)

Hi, I’m Andy, a planetary geologist living on Planet Houston. I currently work at NASA-JSC for a contractor company. I spend my time crafting maps for Artemis Program. Previously, I targeted CTX for a little over 5 years at MSSS. I mostly use #GDAL, #QGIS, #Python, and ImageMagick to get stuff done but am looking to always learn more #FOSS software.

Other interest include: #StarTrek , #Superman , #DataVis, scuba diving, and hiking.

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