SIT-REM: An Interoperable and Interactive Web Geographic Information System for Fauna, Flora and Plant Landscape Data Management

ISPRS International Journal of Geo-Information, 2014, 3(2), 853-867

By Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, Eva Malinverni, Simone Pesaresi, Edoardo Biondi, Massimo Pandolfi, Maria Marseglia, Mirco Sturari, and Claudio Zabaglia

“The main goal of the SIT-REM project is the design and the development of an interoperable web-GIS environment for the information retrieval and data editing/updating of the geobotanical and wildlife map of Marche Region. The vegetation, plant landscape and faunistic analysis allow the realization of a regional information system for wildlife-geobotanical data.

Example of ArcGIS Explorer interface reading WMS from SIT REM.

Example of ArcGIS Explorer interface reading WMS from SIT REM.

“A main characteristic of the SIT-REM is its flexibility and interoperability, in particular, its ability to be easily updated with the insertion of new types of environmental, faunal or socio-economic data and to generate analyses at any geographical (from regional to local) or quantitative level of detail. Different query levels obtain the latter: spatial queries, hybrid query builder and WMSs usable by means of a GIS. SIT-REM has been available online for more than a year and its use over this period has produced extensive data about users’ experiences. ”

OGC Calls for Comment on Candidate Moving Feature Encoding Standard

OGC_Logo_Border_Blue_3DThe OGC seeks public comment on a candidate OGC® Moving Feature Encoding Standard. Part I of this candidate standard provides a standard way of encoding moving feature data in an XML encoding in the form of an OGC Geography Markup Language (GML) application schema. Part II provides a standard way of encoding moving feature data in a simple CSV (comma-separated value) format.

The candidate OGC® Moving Feature Encoding Standard is available at Comments are due by 23 August 2014.

The advance of mobile computing and internet-connected sensors (including sensors and GPS transponders in cell phones and notebook computers) brings with it a rapid rise in applications for moving feature data, typically representing vehicles or pedestrians. Many innovative moving feature applications will require the overlay and integration of moving feature data from different sources. Examples can easily be imagined for disaster risk management, traffic information services, security services, navigation for robots, aviation or maritime traffic monitoring, and wildlife tracking and conservation. Most current applications, however, are limited to single-source moving feature data.

More efficient moving feature data exchange will result in a requirement for massive data handling. The CSV style encoding provides an efficient and easily understood standard for encoding lightweight data records, which will be important for many applications involving large data volumes and real-time response. The GML application schema style encoding for Moving Features provides for the encoding of more complex spatial information.

This standard addresses only “rigid” moving features, such as vehicles, as opposed to those that deform, such as flood water, and it does not address moving features whose descriptions contain other moving features that must be updated as the feature moves, such as control surfaces on an unmanned aerial vehicle (UAV). It also is for archived Moving Feature data only, and not for live feeds from sensors.

The OGC is an international consortium of more than 475 companies, government agencies, research organizations, and universities participating in a consensus process to develop publicly available geospatial standards. OGC standards support interoperable solutions that “geo-enable” the Web, wireless and location-based services, and mainstream IT. OGC standards empower technology developers to make geospatial information and services accessible and useful with any application that needs to be geospatially enabled. Visit the OGC website at

[Source: OGC press release]