Ortho4xp 1.30

I have now switched to Ortho4XP Version 1.3. It is around for quite some time now. But I never found the time to check the new features. So here is my report and a simple tutorial to get you going. The following links might be helpful. I downloaded the Windows binary package from the link on this page. It should also be easy to install Python 3. At last i have found out that when downloading new tiles that you have to put the new tile in custom scenery? Then delete the original Ortho4xpoverlays in custom scenery, then copy and paste the new Ortho4xpoverlays from your ortho folder where ever you have placed it?You have to do this copy and paste action of overlays folder every time you add a new tile because the objects,road. No PHD required to install Ortho4XP 1.30, let me show you how.Here are Oscar's download links:Oscar's Forum - https://forums.x-plane.org/index.php?/forums/to.

  1. Ortho4xp 1.30 Manual Pdf
  2. Ortho4xp 1.30 Manual Pdf

A master list of the best Ortho4XP sources for each country

THIS LIST IS COMPLETELY DEPENDENT ON YOUR FEEDBACK

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 ONLY. 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
.
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%

The sources with N/A on them are not tested and I have no info on them, but they are sorted under the country they belong. So feel free to test and give feedback

So, let the list begin
A

Australia
AU_1
Clouds: N/A
ColorMatch: N/A
ZL: N/A

Ortho4xp

BI
Clouds: 95%
Color match: 95%
ZL: tested 16-19 99%

Austria
OST

Clouds: N/A
ColorMatch: N/A
ZL: N/A

GO2
Clouds: 90%

Color match: 75%
ZL: tested 16-19 100%


B

Belgium
BE_Wa

Clouds: N/A
ColorMatch: N/A
ZL: N/A

BI
Clouds: 100%
ColorMatch: 100%
ZL: 15-19 = 100%


C

Canada
ArcNW Territories loc: Yellowknife (CYZF)
Clouds: 100%

Color Match: 100%
ZL: 17 = 100% (no other ZLs tested, but ZL17 looked terrific at high and low altitudes - I do not recommend to try a higher ZL due to diminishing returns, increased size and time to convert orthos)

China (regions tested: west of Shanghai/ZSPD to Nyingchi Mainling/ZUNZ)
Arc

Clouds: 95%

Color Match: 95%
ZL: 17 = 100% (no other ZLs tested, but ZL17 looked terrific at high and low altitudes - I do not recommend to try a higher ZL due to diminishing returns, increased size and time to convert orthos)

Croatia
CRO
Clouds: N/A
ColorMatch: N/A
ZL: N/A

Czech Republic
CZ (Mapy.cz)
Clouds: 100%
(But has watermarks)
ColorMatch: 100%
ZL 100%

BI
Clouds: 97%
ColorMatch: 100%
ZL: 16-19 = 100%


D

Denmark
DN

Clouds: N/A
ColorMatch: N/A
ZL: N/A

BI
Clouds: 100%
ColorMatch: 95%
ZL: 15-17 = 100%

E

Estonia
EST
Clouds: N/A
ColorMatch: N/A
ZL: N/A

England
BI
Clouds 100%
Colormatch ~97%
ZL: ZL16


F

Faroe Islands
FO
Clouds: N/A
ColorMatch: N/A
ZL: N/A

France
BI
Clouds: 99%

Color Match: 90%
ZL: 16 to 19 = 100%

FR
Clouds: N/A
ColorMatch: N/A
ZL: 17

FR_sat / FR_sat2 / FR_satP / Top25
Clouds: N/A
ColorMatch: N/A
ZL: 17 / 17 / 18 /16
F44
(La Loire atlantique vue du ciel - this specific area around Nantes, France: http://vuduciel.loire-atlantique.fr/#11/47.3435/-1.6788)
Clouds: 100%
ColorMatch: 100% (within the area - not sure about adjunct tiles)
ZL: 15-19 = 100%


G

Germany
BI
Clouds: 98%

Color Match: 95%
ZL: all 16-19 = 100%

DE
Clouds: N/A

Color Match: N/A
ZL: all 16-19 = N/A

Greece
BI
Clouds: 95%

Color Match: 90%
ZL: 17
= 100%

H


I

Iceland
BI
Clouds: 95%
Color Match:95%
ZL: 16-17 = 100%

India
Northern India (Himalayas, NE India, West and east India)
BI
Clouds: 70-80%
Color Match: 90-100%
ZL 16-19 100%

GO/GO2
Coluds-50-60%
Color Match: 70%
ZL 16-19 80%

Southern India (Peninsular Plateau and Islands)
GO/GO2
Clouds 70%
Color Match 90%
ZL 16-19 90%

Ireland
BI
Clouds: <1%

Color Match: <95%
ZL: 16 - 19 = 100%
Italy

IT
Clouds: 100%

Color match: 100%
ZL: 16-19 100%

BI
Clouds: 95%
Color Match: 95%
ZL17: 100%


J

Japan
JP
Clouds: N/A
ColorMatch: N/A
ZL: N/A

K


L

Luxemburg
BI
Clouds: 100%

Color Match: 100%
ZL: 16-19
100%


M

Mexico
BI
Clouds: 95%
Color match: 99%
ZL 16 100%. ZL 17 tested in a small region in the south, similar results to ZL16, with better resolution of course, but haven't done the whole country at ZL17.


N

Netherlands
NE
not working - only white tiles ( NE2 works )

NE2
Clouds: 100%
Color match: 99%
ZL: tested 16 and 18: 100%

ARC ( Same source as NE2, but you wont get white tiles in countries next to it as in NE2 )
Clouds: 100%
Color match: 99%
ZL: tested 16 and 17: 100%

BI (has gotten worse after last update summer/fall 2017 - make copy of old source if you have them)
Clouds: 90%
Colormatch: 80%
ZL:16 and 17


New Zealand
NZ
(Partial but very good in some places)
Clouds: N/A

ColorMatch: N/A
ZL: N/A

For NewZealand you might want to check out http://forums.x-plane.org/index.php?%2Ffiles%2Ffile%2F38709-lyndiman’s-new-zealand-ortho-photography-set%2F

Norway
NOX (needs tweaking to get into ortho)
Clouds:100%
Color Match:80%
ZL coverage: 15-17 100% / 18-19 95%
NO3X (needs tweaking to get into ortho)
Clouds:100%
Color Match:80%
ZL coverage: 15-17 99% / 18-19 90%

ARC
Clouds: 80%
Color match: 85%
ZL: 15-17 100%

SE (map.eniro.no)
Clouds: 90%

Color match: 85%
ZL: 15-17 100%

O


P

Poland
PL
Clouds: N/A
ColorMatch: N/A
ZL: N/A

Q


R


S

Spain
ARC (ArcGIS Online)
Clouds: 95% depends on ZL

Color Match: 90%
ZL: 17-19 100%

BI
Clouds: 95% (canary islands suffer on this - try ARC here)

Color match: 90%
ZL: 16 to 18 tested

SP
Clouds: 94%

ColorMatch: 98%
ZL: 18 and 19 tested

But for all these (is)lands , including the Canary , Spain main land and Portugal , you will get the best results with http://www.spainuhd.es/

Spainuhd is a mix of ZL 17 ( inland ) , ZL 18 ( shorelines and airports ) and some ZL 19 ( El hierro and La palma )

Slovenia
SLO

Clouds: N/A
ColorMatch: N/A
ZL: N/A

Slovakia
CZ (Mapy.cz)
Clouds: 100%
(But has watermarks)
ColorMatch: 100%
ZL 100%

BI
Clouds: 97%
ColorMatch: 100%
ZL: 16-19 = 100% (Some tiles might be missing at higher ZL not tested enough to be certain. Blank tiles found)

South Africa (Johannesburg/FAOR and Maputo/FQMA regions)
Arc

Clouds: 100%

Color Match: 100%
ZL: 17 = 100% (no other ZLs tested, but ZL17 looked terrific at high and low altitudes - I do not recommend to try a higher ZL due to diminishing returns, increased size and time to convert orthos)

Sweden
SE
Clouds: 90%

Color match: 85%
ZL: tested 15-17 100%
SE2

Clouds: N/A

ColorMatch: N/A
ZL: N/A

Hitta (supposed to be good - not tested)
Clouds: N/A

Color match: N/A
ZL: N/A

Switzerland
CH (Watermarked)
Clouds: N/A
ColorMatch: N/A
ZL: N/A

GE (Geneva area only)
Clouds: 100%
ColorMatch: 100%
ZL: 15-19 = 100%

BI
Clouds: 90%

Color match: 90%
ZL: tested 16-19 90%

T

Tahiti and Moorea (French Polynesia)
FRsatp
Clouds: 97%
Color match: 99%
ZL: tested 17: 100%


U

USA Alaska
ASK_1 ASK_2 (INACTIVE / NOT AVAILABLE)
Clouds: N/A
ColorMatch: N/A

ZL: N/A
USA general
USA_1
Clouds: N/A
ColorMatch: N/A

ZL: N/A

USA_2
Clouds: N/A
ColorMatch: N/A

ZL: N/A

USA West Coast & Midwest plains, Texas, etc
BI
Clouds: 100%

Color match: 90%
ZL: 17 100%

St Thomas Island (Caribbean)
BI
Clouds: 95%

Color Match: 98%
ZL: 18
= 100%


UK
BI
Clouds: 99%

Color Match: 95% (scottish highlands are effected)
ZL: 16 - 19 100%

V


W


X


Y


Z

Ortho4xp 1.30 Manual Pdf


_________________________________________________________________________________________________

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:

Alternatively you can download the modified Carnet_d_adresses.py


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%160 else 1
monty=0 if til_y_top%160 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

Ortho4xp 1.30 Manual Pdf

Have a nice day, happy landings and blue skies!
Magnus Lorvik
aka fur0r3 & muug (muugart)