Geoserver Dockerfile with GDAL bindings which include:
- ECW
- MrSID
- JP2K
JOSM
tms[22]:http://{switch:a,b,c}.tile.addxy.com/brockville/{zoom}/{x}/{y}.png?api_key=123
iD Editor
http://{switch:a,b,c}.tile.addxy.com/brockville/{zoom}/{x}/{y}.png?api_key=123
Download some data from your Amazon S3 buckets
$ mkdir -p /data/imagery
$ cd /data/imagery
$ wget https://s3-us-west-2.amazonaws.com/<FILE PATH>.sid
$ wget https://s3-us-west-2.amazonaws.com/<FILE PATH>.ecw
$ mkdir -p /data/vector
$ cd /data/vector
$ wget https://s3-us-west-2.amazonaws.com/<FILE PATH>.geojsonRun your geoserver on port 8080 and mount to your data_dir.
$ mkdir /data/geoserver
$ docker run -d \
-p 8080:8080 \
-v /data/geoserver:/opt/geoserver/data_dir \
-v /data/imagery:/opt/geoserver/data_dir/imagery \
-v /data/vector:/opt/geoserver/data_dir/vector \
--name geoserver \
deniscarriere/geoserverHow imagery metadata using GDALInfo on a MrSid file.
cd /usr/local/bin
wget https://github.com/GitHubRGI/geopackage-python/raw/master/Packaging/tiles2gpkg_parallel.py
wget https://github.com/GitHubRGI/geopackage-python/raw/master/Tiling/gdal2tiles_parallel.py
docker run -t -i -v /data:/data -v /usr/local/bin/gdal2tiles_parallel.py:/usr/local/bin/gdal2tiles_parallel.py geodata/gdal /bin/bashHow to convert a JPEG into a GeoTIFF
sudo gdal_translate -co COMPRESS=JPEG DRAPE14.jpg DRAPE14_.geotiffHow to create a TMS using GDAL2Tiles.py on a MrSid file.
gdal2tiles.py --zoom 0-13 --srcnodata 0,0,0 Brockville.sid /www/brockville/-zZoom Levels-sSource input projectioninputInput filesoutputOutput folder
How to use the tiling script, gdal2tiles_parallel.py
| Zoom Level | Scale | Pixel Resolution |
|---|---|---|
| 22 | 1:125 | 3.5 cm |
| 21 | 1:250 | 7 cm |
| 20 | 1:500 | 15 cm |
| 19 | 1:1,000 | 30 cm |
| 18 | 1:2,000 | 60 cm |
| 17 | 1:4,000 | 1.2 m |
| 16 | 1:8,000 | 2.4 m |
| 14 | 1:35,000 | 10 m |
| 11 | 1:250,000 | 76 m |
| 10 | 1:500,000 | 153 m |
| 9 | 1:1 Million | 305 m |
| 7 | 1:4 Million | 1.2 km |
{
"Version": "2012-10-17",
"Id": "S3PolicyId1",
"Statement": [
{
"Sid": "IPAllow",
"Effect": "Allow",
"Principal": "*",
"Action": "s3:*",
"Resource": "arn:aws:s3:::pacgeo/*",
"Condition": {
"IpAddress": {
"aws:SourceIp": "52.24.20.105/24"
}
}
}
]
}Set up your Nginx configuration in /etc/nginx/sites-available/geoserver.
server {
listen 80;
server_name addxy.com www.addxy.com;
location / {
proxy_pass http://127.0.0.1:8080/;
}
}
server {
listen 80;
server_name
tile.addxy.com www.tile.addxy.com
a.tile.addxy.com www.a.tile.addxy.com
b.tile.addxy.com www.b.tile.addxy.com
c.tile.addxy.com www.c.tile.addxy.com;
root /data/tile;
}
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
Tile server will convert the OSGeo tile schema to Google Maps/OpenStreetMap schema.
Run the tile_server.py using Gunicorn
$ gunicorn -w 4 -b 127.0.0.1:5000 tile_server:app
2015-10-31 00:49:44 [10011] [INFO] Starting gunicorn 17.5
2015-10-31 00:49:44 [10011] [INFO] Listening at: http://127.0.0.1:5000 (10011)
2015-10-31 00:49:44 [10011] [INFO] Using worker: sync
2015-10-31 00:49:44 [10016] [INFO] Booting worker with pid: 10016
2015-10-31 00:49:44 [10019] [INFO] Booting worker with pid: 10019
2015-10-31 00:49:44 [10022] [INFO] Booting worker with pid: 10022
2015-10-31 00:49:44 [10023] [INFO] Booting worker with pid: 10023JOSM
- tms[22]:http://{switch:a,b,c}.tile.addxy.com/brockville/{zoom}/{x}/{y}.png?api_key=123
iD Editor
- http://{switch:a,b,c}.tile.addxy.com/brockville/{zoom}/{x}/{y}.png?api_key=123
Good tile
Bad credentials
Missing tile
