[GRASS-user] detecting olive trees from satellite imagery

Margherita Di Leo diregola at gmail.com
Wed Oct 29 07:05:14 PDT 2014

Dear All,

I have to develop a classifier to detect olive tree canopies using Geoeye-1
images. I had thought of segmentation and indeed the segmentation is
capable of separating and detecting canopies. However I need now a
classifier that retains only the segments that represent olive trees. The
range of values assigned to canopies is quite high and doesn't follow a
particular order, hence i haven't found an obvious mapcalc rule so far.
However, I have been reasoning about the particular pattern that
characterise olive orchards: olive trees are obviously round, disposed on
regular grids, at constant distance to each other, and the canopies,
although having different sizes (within a certain range), are almost always
well separated from each other. I am now looking to a way to translate this
concept into operational rule. I'm sure that this is nothing new, so I was
wondering if you could point me relevant literature and existing tools to
put this in practice.

Thank you in advance for any hints

Best regards,

Dr. Margherita DI LEO
Scientific / technical project officer

European Commission - DG JRC
Institute for Environment and Sustainability (IES)
Via Fermi, 2749
I-21027 Ispra (VA) - Italy - TP 261

Tel. +39 0332 78 3600
margherita.di-leo at jrc.ec.europa.eu

Disclaimer: The views expressed are purely those of the writer and may not
in any circumstance be regarded as stating an official position of the
European Commission.
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