All Questions
Tagged with large-datasets gdal
6 questions
0
votes
1
answer
239
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Tessellation on huge dataset
I have a set of CSV files with lat/long for points spaced every 500 meters apart. There are several files that collectively span a huge area across the Nevada/Utah border.
I need to create a ...
- 950
0
votes
1
answer
509
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sf: Session aborts when reading large geopackage into R
I want to read a geopackage into R that is roughly ~ 600 mb in size.
Every time I want to read it my R-Studio session aborts when doing the
data = read_sf(path_geo)
Is there any "trick" ...
- 1,379
2
votes
0
answers
386
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Dealing with Very Large Satellite Imagery
I'm curious if anyone has suggestions for viewing and processing really large imagery. I'm pretty experienced with desktop apps like ENVI and am comfortable with python and GDAL but I'm analyzing ...
- 419
5
votes
1
answer
1k
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smallest, lossless, GDAL ready image format
I would like to know what the smallest file format is I can use with GDAL that fulfills the following criteria:
lossless compression
(relatively) easy to read/write with GDAL Python bindings
least ...
- 9,947
3
votes
3
answers
6k
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Using very large image formats with GDAL
I would like to use gdalwarp and gdal_translate with some very large raster images (313,040 x 313,040 px) and I'm wondering what the best format or method is to do this, if it's even possible.
I have ...
- 167
6
votes
2
answers
3k
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Big satellite image processing
I'm trying to run Mort Canty's http://mcanty.homepage.t-online.de/ Python iMAD implementation on bitemporal RapidEye Multispectral images. Which basically calculates the canonical correlation for the ...
