Agreed. You have to make sure you have valid training areas are for each
image you want to classify. I've also found that dealing with clouds and
their shadows is one of the biggest issues to consider when doing
classifications.
- Nick J
On Sun, Dec 5, 2010 at 4:12 AM, Nikos Alexandris <
nikos.a
Nick Jachowski:
> 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
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
On Friday 03 of December 2010 16:35:21 Chethan S wrote:
> 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 perc
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 provi
