Re: [GRASS-user] External Database and projections

Hi Lorenzo, What do you mean with a «distributed infrastructure”? Do you want to make the rasters available via WWW or in your company/institution? There are other options to share data than PostGIS… Within an organization your GRASS GIS database on NFS would be a much, much more efficient

Re: [GRASS-user] External Database and projections

On 07/10/15 21:09, Markus Neteler wrote: On Wed, Oct 7, 2015 at 12:55 PM, Blumentrath, Stefan wrote: ... My suggestion is to not use PostGIS for big rasters, unless you have to, because you want to use the data in a specific application for example. Note

[GRASS-user] R: Re: R: Re: Performing a Maximum Likelihood Supervised classification with a single band

Thank you Moritz, I am aware that the combination of different bands might lead to a significant difference, not detectable comparing them one against one at a time. I think this can be the case where two or more bands are correlated to each other for specific sites (eg. my training areas),

[GRASS-user] import *.bil raster data

Hi can I import *.bil raster data in grass70? Grazia ___ grass-user mailing list grass-user@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/grass-user

Re: [GRASS-user] Performing a Maximum Likelihood Supervised classification with a single band

* Umberto Filippo Minora [2015-10-14 14:20:26 +0200]: > Thanks Nikos, > > Well, actually my training areas are defined as they need to be specific > features in my location (rock glaciers). I would like to use i.maxlik to > classify the other pixels of my image (other

Re: [GRASS-user] R: Re: Performing a Maximum Likelihood Supervised classification with a single band

Umberto Filippo Minora wrote: > > Well, actually my training areas are defined as they need to be specific > > features in my location (rock glaciers). I would like to use i.maxlik to > > classify the other pixels of my image (other than rock glaciers, alias > > my training areas). They should be

Re: [GRASS-user] R: Re: Performing a Maximum Likelihood Supervised classification with a single band

On 14/10/15 17:40, Nikos Alexandris wrote: Moritz Lennert: If you only work with one band, you could use your training areas to define the mean value and standard deviation in band 4 that corresponds to your class of interest and then just use r.recode to classify your image with something

[GRASS-user] R: Re: R: Re: Performing a Maximum Likelihood Supervised classification with a single band

Thanks again Moritz. Of course I have other strategies to map permafrost, not only this, but I'd rather use them in a second phase. For instance, I have cumulative global radiation data during summer derived with r.sun function and summed up. I used these data to perform a parallel

Re: [GRASS-user] import *.bil raster data

Yes Grazia, should be possible, if not use gdal_translate to convert to tif and than import. Best Giuseppe On 14 October 2015 at 11:13, Gra wrote: > Hi > can I import *.bil raster data in grass70? > > Grazia > > ___ > grass-user

Re: [GRASS-user] import *.bil raster data

Try r.in.bin! Cheers, Stefan Von: grass-user [grass-user-boun...@lists.osgeo.org] im Auftrag von Giuseppe Amatulli [giuseppe.amatu...@gmail.com] Gesendet: Mittwoch, 14. Oktober 2015 17:17 An: Gra Cc: grass-user@lists.osgeo.org Betreff: Re: [GRASS-user]

Re: [GRASS-user] v.net.path input format

The answer is...the manual is in error. Manual: The syntax is as follows: id start_point_category end_point_category (Example: 1 1 2) or id start_point_x start_point_y end_point_x end_point_y Correct: The syntax is as follows: layer start_point_category end_point_category (Example: 1 1 2)

Re: [GRASS-user] Job opportunity: Database / WebGIS / Open Source GIS developer at NINA, Norway - urgent

Dear all, I just want to inform you, that we are happy that we got a lot of promising candidates for the vacant position(s) and are therefore now closing the application window. Thanks to all applicants for your interest in working in NINA and for your swift reply! Applicants will be informed

[GRASS-user] R: Re: Performing a Maximum Likelihood Supervised classification with a single band

Thanks Nikos, Well, actually my training areas are defined as they need to be specific features in my location (rock glaciers). I would like to use i.maxlik to classify the other pixels of my image (other than rock glaciers, alias my training areas). They should be classified as "similar" to

Re: [GRASS-user] External Database and projections

Hello, Thanks for your suggestion. The point is that I need do develop a distributed infrastructure hence I need to store the raster in to a DB after the creation. Once I have created the raster immages I'll need to do some simple multiplication and I thought to do them with r.mapcalc. Then I'll

[GRASS-user] v.net.path input format

What is the format for points in v.net.path specified by coordinates instead of cat? (GRASS 7.0.1) According to the manual it’s start_x start_y end_x end_y But I keep getting an input format error when I do this. Michael C. Michael Barton Director, Center for

Re: [GRASS-user] R: Re: Performing a Maximum Likelihood Supervised classification with a single band

On 14/10/15 14:20, Umberto Filippo Minora wrote: Thanks Nikos, Well, actually my training areas are defined as they need to be specific features in my location (rock glaciers). I would like to use i.maxlik to classify the other pixels of my image (other than rock glaciers, alias my training

Re: [GRASS-user] External Database and projections

Hi Stefan, With a distributed infrastructure I mean that the the computation and the data are deployed in a distributed platform. The data then will be available trough WWW but the aim of the infrastructure is not on the visualization of the maps but on providing the information in JSON or

Re: [GRASS-user] Reprojection of raster maps in various platforms: projected coordinates are different

[Please keep conversations on the list] On 14/10/15 23:19, Uttam Kumar wrote: _ _ _*This information is for the original data (Source):*_ *PROJ.4 : '+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs '* Coordinate System is: PROJCS["Sinusoidal",