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3.4: WCS 2.0 and EO-WCS with MapServer and EOxServer (EOX)

As the name implies this use case focuses on the new version of WCS 2.0 and its application profile for Earth Observation data – EO-WCS (see section above). We describe the usage of a Free and Open Source Software (FOSS) stack including MapServer and EOxServer to provide EO data via the mentioned OGC services.

MapServer is released under an MIT-style license and runs on all major platforms (Windows, Linux, Mac OS X). The MapServer Project Steering Committee (PSC), sanctioned by OSGeo, manages and administers the project which is maintained, improved, and supported by developers and users from around the world.

MapServer is an Open Source geographic data rendering engine written in C. Beyond browsing GIS data, MapServer allows you create "geographic image maps". MapServer was originally developed by the University of Minnesota (UMN) ForNet project in cooperation with NASA, and the Minnesota Department of Natural Resources (MNDNR). Later it was hosted by the TerraSIP project, a NASA sponsored project between the UMN and a consortium of land management interests.

EOxServer implements the OGC Implementation Specifications EO-WCS and EO-WMS on top of MapServer's WCS and WMS implementations. EOxServer is released under the EOxServer Open License also a MIT-style license and written in Python and entirely based on Open Source software including MapServer, Django, GDAL, SpatiaLite, or PostGIS, and PROJ.4.

The young EOxServer project is managed and administered by the EOxServer Project Steering Committee (PSC) with currently seven members. Work on EOxServer has been partly funded by the European Space Agency (ESA) in the frame of the HMA-FO and O3S projects.

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3.4.1 Introduction to and Motivation of Use Case

The figure below introduces the parties involved in this use case.


On the one side there is a provider of Earth Observation (EO) data. The provider has a possibly huge, in terms of storage size, archive of EO data and wants to provide this data to users. Of course the data provision has to follow certain constraints and requirements like technical, managerial, or security frame conditions but in general the provider wants to reach as many users as possible with minimal efforts.

On the other side there is a user of EO data. The user has the need of certain EO data as input to some processing which varies from simple viewing to complex data analysis and generation of derived data. The user wants to obtain the needed EO data as easily as possible which includes finding the right data from the right provider at the right time at the right location and retrieving it in the right representation e.g. format.

Already from this simple constellation the need for standardized interfaces is evident. Thus MapServer and EOxServer implement the open publicly available interface standards defined by the Open Geospatial Consortium (OGC). In particular EOxServer together with MapServer contains an implementation of the Web Coverage Service (WCS) including its Earth Observation Application Profile (EO-WCS) and the Web Map Service (WMS) again including its EO extension (EO-WMS).

These interface standards have been chosen to support the new paradigm of "zooming to the data". This means looking at previews of the data rather than searching in a catalogue in order to find the right data. WMS together with its EO extension is used for the previews whereas WCS with its EO extensions is used to download the previously viewed data and metadata. Of course a provider is free to operate a catalogue in parallel including references to the EO-WMS and EO-WCS.

The EOxServer software stack is a collection of Open Source Software designed to enhance a wide range of legacy systems of EO data archives with controlled Web-based access ("online data access") with minimal efforts for the provider. The user not only significantly benefits from the provider's enhanced online data access but also from the client functionalities included in the EOxServer software stack.

In particular the EOxServer software stack provides the following features:

• easy to install
• simple yet powerful web interface for data registration for the provider
• standardized way to access geographic data i.e. via EO-WMS and EO-WCS
• download of subsets of data
• on the fly re-projection, re-sampling, and format conversion
• visual preview of data
• integrated usage of EO-WMS and EO-WCS to view and download the same data
• intelligent automated handling of EO collections and mosaics
• homogeneous way to access different data, metadata, and packaging formats
• homogeneous access to different storage systems i.e. file system, ftp, and rasdaman These features result in the general benefit for the provider to be more attractive to the user. The following sub-sections provide details from the provider and user point of view highlighting the possible usage of the MapServer/EOxServer software stack.

3.4.2 Description of Use Case The General Provider View

The provider operates an archive of EO data with different ways of actually accessing the data. For simplicity let's assume the data archived in this legacy system can be accessed in two ways. First there is the local access directly to the file system via operating system capabilities. Second there is an online access by exposing certain directories via FTP.
The EOxServer software stack acts as a middle-ware layer in front of the legacy archive system that expands the offered functionality and thus widens the potential user or customer base. The additional functionality compared to plain FTP access includes:

• interoperable online access via a standard interface defined by an accepted international industry consortium
• domain and range sub-setting of coverages allowing to download only the needed parts of a coverage and thus saving bandwidth
• spatial-temporal search within the offered coverages
• on-the-fly mosaicking
• on-the-fly re-projection
• delivery in multiple encoding formats i.e. on-the-fly format conversion
• on-the-fly scaling and re-sampling
• preview via EO-WMS
• embedding of metadata (EO-O&M) adjusted to the actual delivered coverage

The figure below provides an overview of the provider environment showing the provider's legacy system and the extending EOxServer software stack.




The recommended way for the installation of the EOxServer software stack is to use a host which has direct read access to the data via the file system using operating system capabilities. If this file system is physically located on the same hardware host or if it is mounted from some remote storage e.g. via NFS or Samba doesn't matter in terms of functionality. However, in terms of performance the actual configuration has some impact as big data might have to be transferred over the network with different bandwidths.

The other option is to use the read access via FTP which is a practical configuration in terms of functionality. However, in terms of performance this isn't the recommended configuration because of the need to always transfer whole files even if only a subset is needed. Various caching strategies will significantly improve this configuration, though.

After the installation of all software components needed for the EOxServer software stack there are two main activities left for the provider:

• Configure the environment (e.g. register service endpoint(s) in a web server) and EOxServer (e.g. enable or disable components like services)

• Register data

The figure below shows these activities needed to enhance the provider's environment with online data access to the EO data archive legacy system.

image19.png Environment & Software Configuration

As EOxServer is based on Python, MapServer, GDAL/OGR, and Django these software components need to be installed first. The base configuration of EOxServer consists of the generation of an EOxServer instance and registering it in a web server.

The EOxServer instance generation includes the configuration of various parameters like database name, type, and connection info, instance id, paths to logfiles, temporary directories, etc. as well as the initialization of its database. There are two options for the database management system (DBMS). The first is SQLite together with SpatialLite which is a single file DBMS and thus best suited for testing purposes. The second is PostgreSQL together with PostGIS which is a full fledged DBMS with numerous management functionalities and thus best suited for operational environments.

The database itself holds the configuration of components and resources (e.g. is WCS 1.0.0 enabled) as well as the coverage metadata ingested during registration (see section "Data Registration" below).

EOxServer can be operated with any web server that supports the Python WSGI standards. For testing and implementation purposes the Django framework directly provides a simple web server. However, in operational environments the recommended deployment of EOxServer is to use the well-known Apache web server together with mod_wsgi. In most cases it will be the easiest, fastest, and most stable deployment choice.

At this point the provider's administrator or operator can actually run the software stack and configure the remainder via EOxServer's admin app. This app is accessed via a standard web browser and, when using Django's internal web server, available at the URL: "http://localhost:8000/admin". Use the user credentials that have been set in the database initialization step.

The figure below shows the admin app after successful login. On the left side the four modules "Auth", "Backends", "Core", and "Coverages" are shown. "Auth" is the internal Django user management module which is at the moment only used for the admin app itself. "Backends" and "Coverages" are the modules for data registration which is described in section `Data Registration`_ below.

The "Core" module is used to enable or disable EOxServer components like services. The provider can decide which services and even which versions of which services EOxServer shall expose. A possible configuration is to expose WCS 2.0 and WMS 1.3.0 which are the latest versions but not any older version. In the default database initialization all services are enabled.

image20.png Data Registration

The data registration is done via the functionalities provided by the "Backends" and "Coverages" modules of the admin app. The figure above shows for which data types, or models in Django terminology, instances can be added or changed in these modules. These data types correspond to tables in the database.

The Dataset Series provides a convenient way to register a complete dataset series or collection at once. The figure below shows the admin app when changing a Dataset Series instance. The operator has to provide an "EO ID" and an "EO Metadata Entry". All other parameters are optional as can be seen by the usage of normal instead of bold face text. However, in order to actually register coverages either one or multiple "Data sources", consisting of a "Location" e.g. a data directory and a "Search pattern", have to be added. Alternatively, the administrator can decide to register single coverages and link them to the Dataset Series via the "Advanced coverage handling" module.


The figure below shows the screen for adding or changing an EO metadata entry. The operator has to provide the "Begin of acquisition", "End of acquisition", and "Footprint" of the overall Dataset Series in the same way as for any EO Coverage. Calendar, clock, and map widgets are provided to ease the provision of these parameters. Optionally a full EO O&M metadata record can be supplied.


Saving a Dataset Series triggers a synchronization process. This process scans the Locations, e.g. directories and included sub-directories, of all configured Data Sources for files that follow the configured search pattern e.g. "\*.tif". All files found are evaluated using GDAL and for any valid and readable raster file a Dataset instance is generated in the database holding all metadata including EO metadata for the raster file. Of course the raster file itself remains unchanged in the file system.

Let's look in more detail at the synchronization process and assume a plain GeoTIFF file with name "demo.tif" was found. The synchronization process extracts the necessary geographic metadata i.e. the domainSet or extent consisting of CRS, size, and bounding box directly from the GeoTIFF file. Where does the metadata come from? In order to retrieve the EO metadata at the moment the process looks for a file called "demo.xml" accompanying the GeoTIFF file. In future this may be expanded to automatically retrieve the metadata from catalogues like the ones the EOLI-SA connects to but for the moment the files have to be generated before the registration. The content of this file can either be a complete EO-O&M metadata record or a simple native metadata record containing only the mandatory parameters which are: "EOID", "Begin of acquisition", "End of acquisition", and "Footprint". If no "demo.xml" is found the process uses default values which are: file name without extension, current date and time, and full bounding box of raster file. Of course, the synchronization process can be re-run at any time e.g. from a daily, hourly, etc. cronjob.

This configuration is sufficient to bring online a complete EO data archive accessible via the file system.

A comparable synchronization process is available for FTP and rasdaman back-ends as well as for Stitched Mosaics. However, mostly these processes require more complex synchronization steps. For example, via the FTP back-end it is better to not inspect the raster files itself which would mean to completely transfer them but to retrieve the geographic information together with the EO metadata. The General User View

The user needs certain EO data as input to some processing. This processing ranges from simply viewing certain parameters of EO data to complex data analysis and generation of derived data. The user has an environment with the software installed needed for the processing. For simplicity let's assume the user has two different software tools installed to process the data. First there is a standard web browser which manages the HTTP protocol and is capable of viewing HTML web pages. Second there is a GIS software which shall be QGis in our example.

The figure below shows the user environment and its installed software.


First of all the user needs to find an EO data provider who has data that fit the user's purpose and who offers the data via a mechanism the user can handle. Luckily the user happens to know a provider who is running the EOxServer software stack on an EO data archive holding the required data. Thus the user can decide between several ways how to retrieve the data. Some involve client side components of the EOxServer software stack but because of the strict adherence to open standards various other ways are possible in parallel. However, we'll focus below on two ways involving EOxServer software components. Web Browser

In the first case the provider offers a dedicated app using EOxServer's Web API. This app consists of HTML and Javascript files and is served via a web server from the provider's environment. In our case the app provides access to one dataset series holding some MERIS scenes over the Amazon area.

The figures below show screen shots how this app might look like. The app implements the paradigm of "zooming to the data" i.e. the user directly looks at previews of the data served via EO-WMS rather than having to search in a catalogue first. After zooming to and therewith setting the Area of Interest (AoI) and setting the Time of Interest (ToI) (note the shorter ToI in the second figure) the user following the download button is presented with the metadata of the included datasets retrieved from the offered EO-WCS. The metadata includes grid, bands, CRS, nil values, etc. of the datasets but also formats, CRSs, and interpolation methods the dataset can be retrieved in. Based on this information the user decides which datasets to download and specifies parameters of the download like spatial sub-setting, band sub-setting, CRS, size/resolution, interpolation method, format, and format specific parameters like compression. The app guides the user to specify all these parameters and downloads only the really needed data to the user's environment. The EO-WCS protocol is used by the app transparently to the user i.e. most of the complexity of the EO-WCS protocol is hidden.

This app shows the benefit of the integrated usage of EO-WMS and EO-WCS for the online data access to the EO data archive.




image25.png GIS Tool

In the second case the user wants to use the full-fledged GIS software tool QGis and thus decides to use the handy EO-WCS plug-in provided by the provider. This plug-in makes extensive use of EOxServer's Python Client API.

The figure below shows a screen shot how the usage of the EO-WCS plug-in for QGis might look like. The user first has to connect to the provider's EO-WCS endpoint. Once connected the plug-in retrieves the metadata about the available dataset series and shows them as a list to the user together with the tools to specify AoI and ToI. Metadata of datasets and stitched mosaics might also be retrieved in this step if the provider configured some to be directly visible in the capabilities of the EO-WCS.

The selected dataset series are transparently searched within the set spatio-temporal bounding box and available datasets and stitched mosaics presented to the user. After exploring and setting the download parameters like in the first case the EO-WCS plug-in downloads again only the required data sub-sets. In addition to the previous case the EO-WCS plug-in applies various strategies to limit the data download. For example if a dataset is added to the current list of layers only the currently viewed area needs to be filled with data at the resolution of the screen. In addition the data can be sub-setted to one or three bands that are shown i.e. there's no need to download numerous float32 bands just to preview the data.

With using the EOxServer software stack on the provider side the plug-in includes the possibility to exploit the integrated usage of EO-WMS and EO-WCS. This exploitation includes the displaying of previews in the two steps described above. Another feature is, that the possibly nicer looking images are retrieved from the performance optimized EO-WMS to fill the current view.

Once the user starts some sophisticated processing the plug-in retrieves the required sub-sets of the original data. Again strategies to limit the data download are applied.


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