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Found 2 results

  1. 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 - PLEAS 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 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 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 terabytes 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 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 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! ?
  2. First post alert Here's a question I've pondered over ever since I started creating Ortho's, and that is those tricky shorelines, specifically the Caribbean. I've managed to get a somewhat tolerable look by having my "Mask width" set to 300 and a water ratio of 3.0. I played around with the water sources as well but usually come up with a blurry looking shoreline. Has anyone been able to master this? I do a lot of Island hopping in FSE, and I crave that sweet Caribbean eye candy.
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