My previous post belongs to the "Unexpected surface reflectances calculated 
with new arcsi version" topic. My mistake, sorry!

Am Donnerstag, 5. Januar 2017 11:01:05 UTC+1 schrieb silke.and...@bayer.com:
>
> Hi Pete and Will,
>
> thank you for the comments! I have repeated my computations without the 
> --simpledos option (and without specifying --atmosimg and --aeroimg). This 
> does not make a difference.
>
> Versions: I have installed ARCSI on two different computers. One was 
> updated mid-December 2016 and tells me that it has ARCSI version 0.16.0. 
> For doublechecking I re-installed everything on a second computer at the 
> beginning of this week. That one has version 1.0.0. On both computers I 
> see the issues described above.
>
> Artifacts:  I also had the impression that the artifacts were related to 
> the DEM. In my case they appeared especially in cloudy regions. Attached 
> are the following images (which are sections from the Landsat8 scene I 
> mentioned before): one example of what I think are artifacts in RGB 
> "artefact_RGB.png". The same section of the image combining bands 1, 2 and 
> 3 ("artefacts_bands123"). The SRTM DEM for the same region. There are no 
> high mountains in this scene (it's Germany/Poland and close to the sea).
>
> Hope this helps. Many thanks!
> Silke
>
>
> Am Dienstag, 20. September 2016 16:19:26 UTC+2 schrieb Pete Bunting [pfb]:
>>
>> Dear all,  
>>
>> We have change the way in which we are making software available through 
>> conda. As part of this we have removed the osgeo channel to avoid confusion 
>> with the OSGEO (http://osgeo.org) and the packages are now available 
>> through the conda-forge and rios channels. However, to make it a simpler 
>> installation process we have created environments which are already 
>> packaged up and available within the au-eoed channel. The environments have 
>> arcsi, spdlib, pylidar, rsgislib, rios, python-fmask, kealib, tuiview etc. 
>> all installed and setup. 
>>
>> We would recommend that you update to using these new builds, as there 
>> are many bug fixes and new features in the packages. Please note these 
>> builds are with GDAL 2.1. To install the python 3.5 builds for Linux and 
>> Mac OSX using the environments we have created you need to install the 
>> anaconda-client package from conda and then the appropriate environment. 
>> Please note difference between linux and mac OS X here. 
>>
>> conda install anaconda-client
>> # Linux
>> conda env create au-eoed/au-osgeo-lnx
>> source activate au-osgeo-lnx
>> # Mac OSX
>> conda env create au-eoed/au-osgeo-osx
>> source activate au-osgeo-osx
>>
>> The environment will be created with the generic name we have assigned 
>> but if you want to change it you will need to clone the environment to a 
>> new name for example: conda create --name au-osgeo-lnx --clone my-osgeo-env
>>
>> Please let us know if you run into any difficulties. 
>>
>> Best wishes, 
>>
>> Pete
>>
>> ****************************************************
>> * Dr Pete Bunting
>> * Reader in Remote Sensing
>> * Earth Observation and Ecosystem Dynamics Group
>> * Department of Geography and Earth Sciences
>> * Aberystwyth University
>> * Aberystwyth
>> * Ceredigion
>> * SY23 3DB
>> * UK
>> * 
>> * Ph: +44 (0) 1970 622615
>> * Mob: +44 (0) 7917 842743
>> * Email: p...@aber.ac.uk
>> * ORCID: http://orcid.org/0000-0002-7435-0148
>> ****************************************************
>> *"Please consider the environment before printing this email or any 
>> documents attached”*
>>
>>
>>
>> --------------------------------------------------------------------
>> Un o’r 4 prifysgol uchaf yn y DU a’r gorau yng Nghymru am fodlonrwydd 
>> myfyrwyr 
>> (Arolwg Cenedlaethol y Myfyrwyr 2016) 
>> www.aber.ac.uk 
>>
>> Top 4 UK university and best in Wales for student satisfaction 
>> (National Student Survey 2016) 
>> www.aber.ac.uk 
>>
>
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