We've done quite a bit of time series stacking of Landsat data for
change detection using the method you are testing.
We determine the output frame of either the minimum bounding box of all
the input scenes (gdalinfo each scene, save corner coordinates, compute
bounding box) or we have also pr
her
> utilities
> such as pkcrop. There is no need to parse the output from gdalinfo first.
>
> Pieter.
>
>
>
>
> --
> View this message in context:
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> Sent from the G
There is no need to parse the output from gdalinfo first.
Pieter.
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t of input images to a multi-layer image using the same bounding box
> and
> spatial resolution
>
> pkcrop $(pkinfo -i reference.tif -dx -dy -bb) $(for LS in landsat*.tif; do
> echo " -i " $LS;done) -o stacked.tif
>
> Pieter.
>
>
>
> --
> View this me
m/gdal-dev-Syncing-two-rasters-together-tp5131677p5131753.html
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Hi Tim:
Not quite -- all I'm trying to do is basically crop (or expand) one
raster to another's extent, but given two images may have their upper
left coordinates somewhat "out of sync" (so the pixels don't line up
perfectly with one another), I'm a bit unclear on how to do this --
the goal is to
On Thu, Mar 27, 2014 at 4:26 PM, Jonathan Greenberg wrote:
> GDALers:
>
> What is the most efficient way, given a "reference raster", and an
> arbitrary raster (we'll call it "unsynced") synced together to allow
> them to be stacked: the output of this should be the unsynced raster
> with the same
GDALers:
What is the most efficient way, given a "reference raster", and an
arbitrary raster (we'll call it "unsynced") synced together to allow
them to be stacked: the output of this should be the unsynced raster
with the same number of rows, columns, pixel size, upper left
coordinates, and proje
