For Geospatial

The ready availability of satellite imagery covering various spatial, spectral, temporal and radiometric resolutions and photomaps has led to an enormous increase in the quantity of data to be acquired, processed, stored and accessed by agencies interested in analysing information about features on the ground, their relationships to the Earth and to each other.

There is a need to streamline and improve the scalability of processes to ingest geospatial data. There is a need for flexible and immediate access to the catalogue of data holdings to answer questions such as “What data do we hold that relates to a particular locality?”, "What type of data is this?", and near immediate access to the data itself.

Mediaflux Desktop answers these questions, displaying data spatially using your own reference maps (or external sources such as Google Maps and ESRI web mapping services**) as a background image. Users can pan and zoom to highlight an area of interest and then quickly locate data related to the area in some way.

** You need to enter into a separate licence agreement with Google to use Google Maps, or with ESRI to use ESRI web mapping services.

Mediaflux Desktop leverages the geospatial features of Mediaflux. Mediaflux supports n-dimensional point data and arbitrary polygons, and can be used to manage rasters, maps, documents, etc., as well as temporal data including full motion video.

Ingest

Using a simple drag and drop, data can be ingested, analysed, packaged and stored by Mediaflux Desktop. Analysers automatically extract metadata for various data types, minimising the manual entry of metadata. Automatic metadata extraction is currently supported for the following data types: CIB, DTED, CADRG, ERDAS IMG, GeoPDF, GeoTIFF, NITF 2.0, NITF 2.1 and GeoJPG.

Search and Discovery

Mediaflux Desktop enables location based discovery. Users can select a geographical bounding box, or specify geographical coordinates, or use the geospatial feature database containing over 7 million place names to discover data. Users can specify how the data returned relates to the search co-ordinates, e.g. inside, outside, intersecting or covering the bounding box, or within a specified radius from a point.

Search results can be filtered based on any attribute of the metadata (e.g. specified dates, data type, etc.).

Search results are displayed as points, rectangles, polylines, or polygons, as the case may be, and suitable data types can be overlaid on the background map, with user selectable transparency.

Mediaflux Desktop supports layers, which are useful for visually comparing the location and distribution of data subject to various search criteria. Each layer displays results matching the search criteria for that layer in a chosen colour. Displaying different layers in different colours allows immediate visual feedback on the comparative distribution of data. Layer visibility can be toggled on and off for further visual feedback.

Mediaflux Desktop Asset Map

Figure 1: Asset Map with filters and two layers displayed

Export

Mediaflux Desktop displays selected data in a grid format. It may be viewed and exported in a variety of specified metadata profiles. Customised metadata export profiles may be created.

Maps, including all layers and grid layouts may be saved by a user for future re-use by that user or other users, subject to access permissions.

Access Permissions

At all times, only those data that a user has permission to access or view are displayed. Search and discovery is subject to access permissions, and only those data accessible to the user are candidates for search completion suggestions and filter operations.

Large Data

Mediaflux Desktop leverages the sophisticated data management features of Mediaflux. In particular Mediaflux excels in the management of large data - facilities are available to package and compress large data, transmit it in parallel, and integrate with hierarchical storage management, leading to significant network I/O and disk I/O savings.

Mediaflux can directly store data and thus maximise opportunities for quality assurance and access control. Mediaflux can also reference the underlying data, which can be stored elsewhere. In this case, however, quality assurance opportunities are reduced as the data is not directly under the control of Mediaflux.