Jens Wiesehahn

@mdsumner@rstats.me looking forward to read an article some day which summarizes all you findings related to problems, solutions, etc in the geospatial world :)

@hareldan I would be in favor e.g. NASA, ESA ... join forces and hire @TomAugspurger et al to build up a public replacement with @open_eo

@EvenRouault@mastodon.social @MikeMahoney218@fosstodon.org I know, didn't want to blame anyone. Would love to see more like the low level tutorials by Robert Simmons though. https://medium.com/planet-stories/a-gentle-introduction-to-gdal-part-1-a3253eb96082

@MikeMahoney218@fosstodon.org Totally agree, however I somehow feel that discovering new things in GDAL is also possible because documentation could be better. :) would love to see some of those tricks you discovered

@gdal@mastodon.social curious about the outcome

@mdsumner@rstats.me @hughagraham@fosstodon.org @MikeMahoney218@fosstodon.org Wow, seems super powerful. Just send a gdalg.json with a pipeline and references to reduce data redundancy?

@mdsumner@rstats.me @hughagraham@fosstodon.org @MikeMahoney218@fosstodon.org so it works for raster and vector, is it also possible to combine them for clipping? E.g. create a gdalg.json and send via email if someone asks for the mean summer NDVI in 2020 based on Sentinel-2 in neighbourhoods of Honolulu with a below average income, in Spilhaus projection with a resolution of 100m? 😄

@mdsumner@rstats.me thanks, wasnt aware of gdal-r-python. will check it out.

@benmschmidt@sigmoid.social works for me