[GRASS-user] Landsat SLC-Off data usage

[Nick Jachowski]

Hi Chetan,

I have been working a lot with SLC-Off imagery lately.  Some people in my
department have used the gap filling programs floating around the net, but
I'm not familiar with them personally.  I've settled on using r.patch as
well, although you have to be careful how you apply it.  I found that even
if I used radiometrically corrected landsat images (using i.landsat.toar)
from the same season often the patched parts of the image did not fit
smoothly with the rest of the image (i.e. you could see striations where the
gaps had been).  I'm using the imagery for land classification, so I've
found it works better if I do the classification on each landsat image
separately and then patch them.  Using this method you can't tell where the
former gaps are, at least in my experience working with imagery from the dry
season in southeast asia.

Good luck!
Nick

On Fri, Dec 3, 2010 at 10:35 PM, Chethan S <chethanuniversal at gmail.com>wrote:

> Greetings!
>
> I am using Landsat 7 ETM+ SLC-Off imageries for my academic project work.
> As users may be aware due to Scan line corrector going off in the satellite,
> large gaps are created in each band of image. It accounts for loss of 20 to
> 22 percent of data. Since recently, gap mask files are provided along with
> Landsat data, so you can tell where actual data is versus the gaps, also
> all data gaps have a digital value of 0 (zero).
>
> Options to use fill in those gaps created include using interpolation
> methods, usage of images from different dates or sensors like IRS or MODIS,
> usage of geostatistics etc. I am interested to know if anyone has employed
> such methods in GRASS previously. Proven techniques would help me progress
> faster.
>
> Thanks and Regards,
>
> Chethan S.
>
> --
> Chethan S.
>
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