|Version 44 (modified by jorgearevalo, 16 months ago)|
GDAL PostGIS Raster driver documentation
1 - Introduction
PostGIS Raster (previously known as WKT Raster) is the project that provides raster support on PostGIS. Since September 26st, 2010, is an official part of PostGIS project. Further information here.
This driver was developed during the Google Summer of Code 2009, and improved during October 2010. The driver only supports reading of regularly blocked in-db rasters.
The driver is under development, at same time that PostGIS Raster. The next version of the driver will include these features:
- Out-db raster support.
- Reading of non-regular blocked rasters.
- Create and modify raster on PostGIS database.
Please, use GDAL 1.8.0 or higher. The driver packed with previous GDAL versions was buggy and unstable, and it won't work with the last versions of PostGIS Raster (since it was included in PostGIS trunk).
Take into account that:
- GDAL doesn't require PostgreSQL/PostGIS installed in your machine for working. Even if you want to use GDAL PostGIS Raster driver. But in case you want to use that driver, install GDAL 1.8.0 or higher.
- PostGIS 2.0 DOES require GDAL if you want to use PostGIS Raster extension.
So, if you're using GDAL and PostGIS in the same machine, please install GDAL 1.8.0 or higher.
1.1 - Credits
- Jorge Arévalo (jorgearevalo at libregis.org)
- David Zwarg (dwarg at azavea.com)
1.2 - More information
- PostGIS Raster documentation page here
- Introduction to PostGIS Raster format and description of the work done during the Google Summer of Code 2009 here
- Search for "WKT Raster" in the PostGIS-users and PostGIS-devel forums archives or in Nabble or write to these forums.
2 - Installation
2.1 - Installing prerequisites
You don't need special requisites in your machine for using GDAL driver, apart from GDAL library itself. Anyway, you might want to set an enviroment with PostgreSQL/PostGIS/PostGIS Raster support. In that case, you'll need:
- PostgreSQL version 8.3 or higher
- Proj4 library version 4.5.0 or higher
- GEOS library version 3.1.0 or higher
- Python version 2.5 or higher
- PostGIS versión 2.0 or higher
NOTE: PostGIS 2.0 has not a stable candidate yet (March 2012). So, you'll have to download and install the lastest development snapshot. Don't use any PostGIS version below 2.0.
2.2 - Installing GDAL
2.2.1 - From binaries
Currently, there's no stable GDAL release that includes the PostGIS Raster driver. The first one will be GDAL 1.8.0. You can get daily build binaries for Windows mantained by Tamas Szekeres here. In Linux and Mac Os X, you'll need to compile the source code.
There is updated information about general GDAL binaries here.
2.2.2 - From sources
You can download daily GDAL snapshots from here, or checkout the code directly from SVN with any subversion client. The examples of this documentation are using Linux console client, but they're easily reproducible with any other client, simply using the same URLs
>$ svn checkout https://svn.osgeo.org/gdal/trunk/gdal gdal
After that, you have to build GDAL library with Python support:
>$ ./configure --with-python & make & make install
Further instructions here.
3 - Using GDAL PostGIS Raster driver
3.1 - Loading raster data in the database
The GDAL PostGIS Raster driver does not support writing raster to the database yet. For this, you'll have to use the raster2pgsql python script. This script is included with the PostGIS installation in the raster/scripts/python subdirectory. To check the syntax of the script, execute this command from that subdirectory:
>$ python raster2pgsql.py --help
Important: The out-db raster support for PostGIS Raster is still under development. Please, don't use this option.
Load this one-band grayscale image (utm.tif) on PostGIS using loader script:
>$ python raster2pgsql.py -r /path/to/utm.tif -t [schema.]utm -l 1 -k 64x64 -o utm.sql -s 26711 -I -M
In this example, the script generates a SQL output (redirected to the file utm.sql). This SQL code, when executed in PostgreSQL create a new table with the image utm.tif. It will be tiled as regular blocking arrangement with blocks of 64x64px. Each image block will be a row of the raster table. To execute the code in PostgreSQL, you must run this command from the console:
>$ psql -d <raster_database> -f utm.sql -U <user> -W
raster_database must be a PostgreSQL database with the PostGIS Raster extension enabled. user must have privileges to create tables and insert values in the database.
Load this RGB image (katrina.tif) in PostGIS using the loader script:
>$ python raster2pgsql.py -r /path/to/katrina.tif -t katrina -l 1 -k 64x64 -o katrina.sql -s 4326 -I -M
As in Example 1, this code generates a SQL file, called katrina.sql with the SQL code to add the image katrina.tif to PostGIS using a regular blocking arrangement with blocks of 64x64px. Again, a new raster table will created and each image block will be stored in one row of the raster table. To execute the code, type:
>$ psql -d <raster_database> -f katrina.sql -U <user> -W
Using the second image (katrina.tif), you can load a lower resolution overview of the image (containing only a quarter of the pixels) in PostGIS.
>$ python raster2pgsql.py -r /path/to/katrina.tif -t katrina -l 2 -V -k 64x64 -o katrina_ov2.sql -s 4326 -I -M
The key options are:
- The -V flag. This flag makes the loader to create a new table to store the overviews' metadata. If you want to load several images with overviews, you'll have to use this flag only the first time the loader script is called, to create the overviews' metadata table only once.
- The -l 2 flag. This flag forces the loader script to create a table with a GDAL-provided overview of the original file, with an overview factor of 2. This is, half size.
As usual, to execute the generated SQL code, run this command:
>$ psql -d <raster_database> -f katrina_ov2.sql -U <user> -W
3.2 - Reading raster data from the database
If you want to use the GDAL WKT Raster driver, you must provide a connection string as Dataset's name. The syntax of this connection string is (the quotes may be ommitted):
PG":host='<host>' port:'<port>' dbname='<dbname>' user='<user>' password='<password>' [schema='<schema>'] [table='<raster_table>'] [where='<sql_where>'] [mode='<working_mode>']"
Note that the string, up to the part starting with "table='" is a libpq-style connection string. That means that you can leave out unnecessary fields (like password, in some cases).
The "table" option requires the name of a WKT Raster table. This table only can be created by using the script gdal2tiles, by now.
The "where" option is used to filter the results of the raster table. Any SQL-WHERE expression is valid. The "mode" option is used to know the expected arrangement of the raster table. There are 2 possible values:
- mode = 1. Also called ONE_RASTER_PER_ROW mode. In this case, a raster table is considered as a bunch of different raster files. This mode is intended for raster tables storing different raster files. It's the default mode if you don't provide this field in connection string.
- mode = 2. Also called ONE_RASTER_PER_TABLE mode. In this case, a raster table is considered as a unique raster file, even if the table has more than one row. This mode is intended for reading tiled rasters from database, just like the rasters created in section 3.1.
Three important notes here:
- If a table stores a tiled raster (like ones created in section 3.1) and you execute the driver with mode = 1, each image tile will be considered as a different image, and will be reported as a subdataset.
- There are use cases the driver can't still work with. For example: non-regular blocked rasters. That cases are detected and an error is raised. Anyway, as I've said, the driver is under development, and will work with more raster arrangements ASAP.
- There's an additional working mode. If you don't provide a table name, the driver will look for existing raster tables in all allowed database' schemas, and will report each table as a subdataset.
You must use this connection string's format in all the gdal tools, like gdalinfo, gdal_translate, gdalwarp, etc.
To get info about utm.tif file stored in database (see section 3.1) run this command:
>$ gdalinfo -mm -stats -checksum "PG:host='localhost' dbname='<raster_database>' user='<user>' password='<password>' table='utm' mode='2'"
As user / password, in a typical installation, you can use postgres / postgres
To get an overview of the katrina.tif image with half size run this command:
>$ gdal_translate -outsize 50% 50% "PG:host='localhost' dbname='<raster_database>' user='<user>' password='<password>' table='katrina' mode='2'" katrina_half_size.tif
This will create a file called katrina_half_size.tif like the original katrina.tif but half size.
3.3 - Creating and modifying data
The GDAL PostGIS Raster driver does not support creation and edition of rasters yet. You'll have to use raster2pgsql loader to create new rasters.
4 - Reporting problems
To report errors and suggestions, you can use the gdal-dev list or write me an e-mail: jorge.arevalo at deimos-space.com