[GRASS-user] Semi-automatic classification with GRASS modules

[Massi Alvioli]

Hi all,

you may want to consider topography-driven classification: by that I
mean a classification
restricted to proper sub-areas; in particular we have explored the use
of both rectangular
areas and slope units, for the specific purpose of landlisde mapping,
in this paper:

https://doi.org/10.1080/19475705.2018.1458050

we expect the method to work for purposes other than landslide
mapping, and to be even
more effective in locations at larger latitudes, where shades are more
relevant to the specific
spectral response of each given terrain class, in a given sub-area.

Massi


2018-07-04 12:20 GMT+02:00 Markus Neteler <neteler at osgeo.org>:
> Hi Giuseppe,
>
> On Wed, Jul 4, 2018 at 11:36 AM, Giuseppe Cillis <giucillis at gmail.com> wrote:
>> Hello everyone,
>> I'm applying between QGIS and GRASS to apply a semi-automatic classification
>> of aerial photos.
>> In practice I would like to use the combination of the grass modules in the
>> processing of QGIS; i.cluster and i.maxlink. My problem is that with
>> i.cluster I can not create the "spectral signature" which then must be used
>> in the second module. Why?
>> In practice I use two photo areas and I left (As proof) the preset
>> parameters but at the end of the process (Although it does not give me
>> errors), only a final report is created and no spectral signature files.
>> Why?
>
> Please consider to use more recent approaches like i.segment,
> r.learn.ml (addon), v.class.mlR (addon) etc.
>
> You can find an overview here which we presented at FOSDEM earlier this year:
>
> GRASS GIS in the sky: GRASS GIS as high-performance remote sensing toolbox
> https://fosdem.org/2018/schedule/event/geo_grass/
>
> Best
> Markus
>
> --
> Markus Neteler, PhD
> http://www.mundialis.de - free data with free software
> http://grass.osgeo.org
> http://courses.neteler.org/blog
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