Hey!
> All right :-). Try what I posted on [2015-05-04 22:14:41]:
>
> # if Reflectance > 1, set to 1000, else round and multiply by 1000
> r.mapcalc --o "TopoCorr_B_Trimmed_DOS1_ToCR_${Band_No}_${SCENE} = if(
> TopoCorr.B.Trimmed.DOS1.ToCR.${Band_No}@${SCENE} > 1, 1000, round( 1000
> * TopoCorr.B
* joanna mardas [2015-05-10 02:28:02 +0200]:
> Hey!
> > joanna, once again, the easy "other way" is posted in my first reply, I
> > think. You just need to multiply with 1000, perform the histogram
> > matching, then divide by 1000.0 to get back to floats.
>
> So I did that: int(oldmap*1000), t
On 07/05/15 20:06, Nikos Alexandris wrote:
Moritz:
AFAIU, you could use the vibility in km instead of the aerosol optical
depth. i.atcorr will then calculate optical depth based on a standard
model. To get visibility find a meteorological station close to your
image and get the info for the rele
Thanks Nikos!
> > I'm not sure that for Landsat 5 the loss is so important, but you can
> > visually compare an image recoded to 0-255 with the one coming out of
> > i.landsat.toar...
>
> Nor am I sure about it. Landsat5 is 8-bit. But one should definitively
> consider it, and mention the
> de
Nikos:
> > > If you go all the way from DN to Top-of-Atmosphere reflectances (via
> > > i.landsat.toar), then to Top-of-Canopy (via i.atcorr), you'll have
> > > floating point values ranging in [0, 1.0]. If you recode this back to
> > > 8-bit, you should consider whether there is an important
joanna mardas:
>
> > I was trying to convert to integer through *r.mapcalc* (the only other
> > way I've found) with the function *int(x)* and x was my map (I hope it
> > was ok to put map instead of x) but the result was a map with "one
> > shade" of grey, so maybe it was wrong to put a map inst
On 05/05/15 17:18, joanna mardas wrote:
Hello! It's me again :)
> If you go all the way from DN to Top-of-Atmosphere reflectances (via
> i.landsat.toar), then to Top-of-Canopy (via i.atcorr), you'll have
> floating point values ranging in [0, 1.0]. If you recode this back to
> 8-bit,
>
Hello! It's me again :)
> If you go all the way from DN to Top-of-Atmosphere reflectances (via
> i.landsat.toar), then to Top-of-Canopy (via i.atcorr), you'll have
> floating point values ranging in [0, 1.0]. If you recode this back to
> 8-bit,
> you should consider whether there is an important
* joanna mardas [2015-05-05 00:19:02 +0200]:
>Hello!
>
>You both are my heros! Thank you Moritz and Nikos!
>
>r.recode worked :D I did i.histo.match on two test images and it looks
>fine.
If you go all the way from DN to Top-of-Atmosphere reflectances (via
i.landsat.toar), then
Hello!
You both are my heros! Thank you Moritz and Nikos!
r.recode worked :D I did i.histo.match on two test images and it looks fine. So now the rest of bands, and then band composite and supervised classification (I've found nice tutorial on youtube, so I'm gonna follow it, or I will try semi-au
joanna mardas wrote:
> > > I have fragments of original landsat images
> > > imported to GRASS and i.histo.match works with them without any
> > > problems.
Nikos Alexandris :
> That is so because i.histo.match, as Moritz notes below, support for
> 8-bit raster data.
Correction: support is ther
joanna mardas wrote:
> > Hello,
Hi Joanna,
> > I'm totally new user of GRASS and of course I have some problems. I want
> > to do the pre-processing of Landsat (5TM) images (for further band
> > composite, classification and NDVI) and I was using the tips from
> > http://grasswiki.osgeo.org/wiki/
On 04/05/15 11:28, joanna mardas wrote:
Hello,
I'm totally new user of GRASS and of course I have some problems. I want
to do the pre-processing of Landsat (5TM) images (for further band
composite, classification and NDVI) and I was using the tips from
http://grasswiki.osgeo.org/wiki/LANDSAT#Pre
Hello,
I'm totally new user of GRASS and of course I have some problems. I want to do the pre-processing of Landsat (5TM) images (for further band composite, classification and NDVI) and I was using the tips from http://grasswiki.osgeo.org/wiki/LANDSAT#Pre-Processing I did the i.landsat.toar I wan
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