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UPDATED 18.07.2018

A master list of the best Ortho4XP sources for each country

THIS LIST IS COMPLETELY DEPENDENT ON YOUR FEEDBACK

 


THIS IS NOT A SUPPORT THREAD FOR ORTHO - PLEASE ONLY GIVE FEEDBACK ON COVERAGE AND READ THIS INTRO BEFORE COMMENTING

Some notifications
There may be several listings for each country and not every country will have full coverage per source and combinations may be needed.
Some sources need editing of the carnet_d_adress.py file in ortho or other modifications to work. See the bottom of this list for how to get the sources you won't find in the source list of ortho.

WARNING: Do NOT use these for airport creation or in any way distribute the downloaded tiles in any way. Even when making freeware or sharing them for no charge.
Doing so may violate the source providers terms of use. These are meant to be for personal use O
NLY. As of why this is get approval of usage, consult the source provider in question.
There is a list at the bottom of this page with an (somewhat limited) explanation for each source.

For a short "how to guide" for Ortho and other x-plane related questions see the BEGINNERS GUIDE

Daikan from x-plane.org has some great advice:

Just a remark: Before embarking on the creation of orthophoto scenery for large areas (and potentially wasting a lot of time, bandwidth and disk space in the process) it is highly suggested to go check out the imagery online interactively before doing so.
Arc: 
https://server.arcgisonline.com/arcgis/rest/services/World_Imagery/MapServer?f=jsapi
GO2: https://maps.google.com
Bing: https://www.bing.com/maps/aerial
etc. (see carnet_d_adresses.py for more URL's)
Sampling different areas at your desired zoom level(s) should give you a good idea of the overall quality pretty quickly.

First lesson with Ortho4XP: Hold off from downloading terrabytes of data at once before you haven't done some sampling - either through the provider's website or using the custom zoomlevel function...

 

About this list:
.
Explenation of list parameters:
I follow an approximate satisfaction rate in percent (higher is better on all):

Clouds: 0-100% -there might be clouds in the ortho images. Example: 100%= NO clouds -95% Some clouds here and there but not interfering much with immersion.
Color match: 0-100% -the color matching between and within areas of tiles. Example: 100% NO difference at all between tiles or patches within tiles. 60%=big differences between tiles and some severe patches.
ZL coverage: 15-19 -Many sources may have less covered tiles in higher zoom levels resulting in black or white squares in the landscape (this parameter is mostly for what the info provider has tested)


When giving info - please do so in this format:

Country
[short name of the source]
Clouds: 100%
Color Match: 95%
ZL: all 15-17=100% 18-19=85%

All the parameters are made with the thought of having 100% as the most positive. That is why cloud coverage might seem somewhat counter intuitive. See it as 100% gone 

Check out ZonePhoto! It has good quality and covers most of Europe and some other areas (All ZL 16)
 

So, let the list begin 

 

 

_________________________________________________________________________________________________
 

Some sources mentioned are not listed in the native Ortho4xp and will need a "hack" to be enabled.

Might be worth testing:

 

EOX

Clouds: 100%
Color Match: 99%
ZL: 0-14=100%

Requires the following changes to Carnet_d_adresses.py:

https://github.com/d41k4n/Ortho4XP/commit/caac8e369bc90acb999c6ea7fdbcdd141326858a

Alternatively you can download the modified Carnet_d_adresses.py

DE
You will need to go "fish" for the session cookie and replace the value in 
line 338 of Carnet_d_adresses.py.
You can do that by opening the network tab of your browser debugger (i.e. press "CTRL+Shift+E" in Firefox) and got to 
this URL.
Then select any request and look for the "Cookie" header. Copy&Paste the value into Carnet_d_adresses.py as mentioned above.
Credit: Daikan from x-plane.org

GO2

https://github.com/d41k4n/Ortho4XP/commit/dbaa04b8c4f15e1fc144d3ea3411ee300ea9af32

Replaces the current GO/GO2 source definition with one that does not suffer from having to manually update the map version (which I think is the root cause for the problem described).

You can also download the whole file which contains some other fixes from my GitHub repo here:

https://github.com/d41k4n/Ortho4XP/raw/dbaa04b8c4f15e1fc144d3ea3411ee300ea9af32/Carnet_d_adresses.py

Credit: Daikan from x-plane.org
OP disclaimer: My changes available on Github are still a work in progress and might not always work as they're only marginally tested, especially when used out of context (i.e. without cloning the repository and syncing to a branch)


NO
Download the edited ortho version here: 
https://github.com/d41k4n/Ortho4XP/tree/hacks/norway-source and copy only "carnet_d_adresses.py" and "Ortho4xp.py" to your ortho4xp folder.
Also make sure that the sources alias "NO" is listed in the list of  source codes (in the carnet_d_adresses file - open it in notepad). (Appears in the drop down list of sources in ortho)



NO2
Copy the following text and paste it between other source codes in your carnet_d_adress.py file (open and edit with notepad)
Also make sure that the sources alias "NO2" is listed in the list of  source codes

   

 ####################################################
    # National geographical institute of Norway
    # Unsure about copyright
    ####################################################
    elif website in ['NO2']:
        if not pyproj_loaded:
            return 'error'
        text_til_x_left=(til_x_left//16)*16
        text_til_y_top=(til_y_top//16)*16
        montx=0 if til_x_left%16==0 else 1
        monty=0 if til_y_top%16==0 else 1
        [latmax,lonmin]=gtile_to_wgs84(text_til_x_left,text_til_y_top,zoomlevel)
        [latmin,lonmax]=gtile_to_wgs84(text_til_x_left+16,text_til_y_top+16,zoomlevel)
        [ulx,uly]=pyproj.transform(epsg['4326'],epsg['32633'],lonmin,latmax)
        [urx,ury]=pyproj.transform(epsg['4326'],epsg['32633'],lonmax,latmax)
        [llx,lly]=pyproj.transform(epsg['4326'],epsg['32633'],lonmin,latmin)
        [lrx,lry]=pyproj.transform(epsg['4326'],epsg['32633'],lonmax,latmin)
        text_minx=min(ulx,llx)
        text_maxx=max(urx,lrx)
        text_miny=min(lly,lry)
        text_maxy=max(uly,ury)
        deltax=text_maxx-text_minx
        deltay=text_maxy-text_miny
        minx=text_minx+montx*deltax/2.0
        maxx=minx+deltax/2.0
        miny=text_miny+(1-monty)*deltay/2.0
        maxy=miny+deltay/2.0
        url="http://openwms.statkart.no/skwms1/wms.georef_nib?version=1.3.0&\
             service=WMS&request=GetMap&layer=Georef-omlopsfoto_orto50&format=image/jpeg&\
             STYLE=default&SRS=EPSG%3A32633&BBOX="+\
             str(minx)+','+str(miny)+','+str(maxx)+','+str(maxy)+\
             "&WIDTH=2048&HEIGHT=2048"
        fake_headers=fake_headers_generic


NO3
Copy the following text and paste it between other source codes in your carnet_d_adress.py file (open and edit with notepad)
Also make sure that the sources alias "NO3" is listed in the list of  source codes

    ####################################################
    # Norway Webatlas by twitch.tv/GiantUnicorn
    # Unsure about copyright
    ####################################################
    elif website=='NO3':
        url="https://waapi.webatlas.no/maptiles/tiles/webatlas-orto-newup/wa_grid/"+\
            str(zoomlevel)+"/"+str(til_x)+"/"+str(til_y_top)+".jpeg?APITOKEN=9da664c7-e5b9-4dc7-a093-7ef0f90563c0"
        fake_headers=fake_headers_generic

 

Some Explenations:
OSM = Open Street map - NOT to be used for ortho tiles creations!
BI              = bing.com
GO / GO2 = google.com
Here          = here.com
ARC          = arcgisonline.com
USA_1      = nationalmap.gov
USA_2      = arcgisonline.com
FR            = geoportail.fr
FR_sat     = geosud.fr (ZL17)
FR_sat2   = geosud.fr (ZL17)
FR_satP   = geosud.fr (ZL18)
TOP_25   = geosud.fr (ZL 16)
DE            = geodatenzentrum.de
SP            = ign.es
IT              = minabiente.it
SE2          = lantmateriet.se
Hitta / SE   = eniro.no
PL             = geoportal.gov.pl
BE_Wa      = geoservices.wallonie.be
NE             = gdsc.nlr.nl
NE2           = geodata1.nationaalgeoregister.nl
SLO          = gis.arso.gov.si
CRO          = geoportal.dgu.hr
OST          = wien.gov.at
CH             = map.geo.admin.ch
AU_1         = gov.au
NZ             = govt.nz
JP              = go.jp
FO             = kortal.fo
F44           = 
http://vuduciel.loire-atlantique.fr/#11/47.3435/-1.6788
GE            = ge.ch/sitg


Have I missed something? Something to add? Please drop me a note and I'll get right to it  ?

Have a nice day, happy landings and blue skies! ?

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i have been tested with Spain and its more than perfect but at night there is no lights the scenery its too dark. is there any solution ? 

Edited by cobra66

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The best source for Canada is GO2.

I believe it is better than the ARC source that was tested in Yellowknife.

GO2 has a few clouds scattered in remote locations, but they are unlikely to be noticeable when flying enroute.

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Hong Kong
[GO2]
Clouds: 100%
Color Match: 90%
ZL: Tested 17 100%

Don't even bother to try other sources, Google is the only good source for Hong Kong. 
I wasted 2 hours downloading from Bing just to realize all images are covered with white clouds ?

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Sweden
Hitta
Clouds: 100% (As far as I'm aware, have done most of central Sweden and along the coast up north to Kiruna)
Color Match: 95% (Mostly it's excellent, but this is prone to happen somewhat more often up north).
ZL: 15-18=100%

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Hi guys, http://map.eniro.no/ is an AWESOME source for Norway and Sweden. But I don't know how to make Ortho4xp use it. I use 1.30, but can downgrade to 1.20 if needed. Can you please help me?

 

I found this code, but I use 1.30, so not sure how to use it:

 

  ####################################################
    # Sweden Eniro karta (thanks to Durian)
    # Unsure about copyright
    ####################################################
    elif website=='SE':
        url="http://map04.eniro.no/geowebcache/service/tms1.0.0/aerial/"+\
            str(zoomlevel)+"/"+str(til_x)+"/"+str(2**zoomlevel-1-til_y)+".jpeg"
        fake_headers=fake_headers_generic    

Edited by fermonro

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Hey ! 

 

Is it possible to add source in the new version of Orth4XP (1.30) ? I want to add FR for France and SP for Spain.

 

Thank you 🙂

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EOX is amazing, it only goes up to zoom level 14 but for rural areas, its amazing! So for tiles with no nearby airports that your never gonna fly at low altitudes, or if every other source is shocking...then EOX is amazing, i have covered most of eastern europe in EOX and done most of the Alps due to every other source just being a patchwork mess except for Innsbruck and other major cities (Geneva, Zurich etc.)

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Hey guys,

I´ve got a question about the SP source (Spain).

Is there any way I can ´´hack´´ SP too for Ortho4Xp 1.30 because there is not really a good source for Spain and when I use Ortho4Xp 1.20b, it gives me a bug at the coastlines.

I would appreciate it if somebody could help me out there because I really wanna fly to Ibiza.🙄

Thank you,

Santi

Edited by pilotsanti

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On 2/6/2019 at 9:20 PM, pilotsanti said:

Hey guys,

I´ve got a question about the SP source (Spain).

Is there any way I can ´´hack´´ SP too for Ortho4Xp 1.30 because there is not really a good source for Spain and when I use Ortho4Xp 1.20b, it gives me a bug at the coastlines.

I would appreciate it if somebody could help me out there because I really wanna fly to Ibiza.🙄

Thank you,

Santi

Sorry, I don't know. 

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On 2/6/2019 at 9:20 PM, pilotsanti said:

Hey guys,

I´ve got a question about the SP source (Spain).

Is there any way I can ´´hack´´ SP too for Ortho4Xp 1.30 because there is not really a good source for Spain and when I use Ortho4Xp 1.20b, it gives me a bug at the coastlines.

I would appreciate it if somebody could help me out there because I really wanna fly to Ibiza.🙄

Thank you,

Santi

Hello, Spain is all covered here: https://www.spainuhd.es/ , have a look

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For people who don’t have extra sources. For Netherlands use GO2 bing gives me white tiles all the time and airport regions are pixelated. With GO2 it’s clouds 99% Color match ca 90% tested all ZL16-19. very high quality pictures.

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14 minutes ago, Phoenix990 said:

For people who don’t have extra sources. For Netherlands use GO2 bing gives me white tiles all the time and airport regions are pixelated. With GO2 it’s clouds 99% Color match ca 90% tested all ZL16-19. very high quality pictures.

Could you also give us the Zool Level accuracy? 

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Not sure how closely this list is being maintained/will be maintained in the future, but I am in the middle of an Arc ZL 17 run in British Columbia, Canada and it is NOT 100% cloud free. Getting a good amount of clouds in my photos.

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3 hours ago, MediumRareBaku said:

Not sure how closely this list is being maintained/will be maintained in the future, but I am in the middle of an Arc ZL 17 run in British Columbia, Canada and it is NOT 100% cloud free. Getting a good amount of clouds in my photos.

Hi could you just fill up every criteria so that I can update the list? 

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