Conference Paper
Abstract:
ENORASIS is an FP7-ENV Project which is developing a server based system that gathers data from satellite observations and remote sensing field equipment and exploits meteorological forecasting models to provide high spatial accuracy estimations for irrigation water needs, by taking into account information on specific crops and other factors affecting the irrigation process. These estimations are transformed in optimal irrigation rules (using FAO56 model) that are communicated to ENORASIS system end users (farmers) via web or mobile.
Identification information about each landzone is saved in the Land Management Subsystem. In the fields, sensors and water valves are deployed. The sensors collect raw data about various parameters affecting irrigation management (soil moisture, air temperature and humidity, solar radiation, wind speed, rain gage) and send their measurements to the ENORASIS server, where are managed through a istSOS 2.1 service. The water valves also send the valve activity for each landzone to the ENORASIS application server. Meteorological forecast data that derive from running meteorological forecasting models over satellite images come daily to the server and include a forecast for the next 72 hours.
istSOS (http://istgeo.ist.supsi.ch/software/istsos) is an OGC SOS server implementation the SOS service entirely written in Python for exchanging XML requests and responses. istSOS 2.1 allows for managing and dispatching observations from monitoring sensors according to the Sensor Observation Service standard. The talk will present the latest software enhancements (version 2.1) that include the availability of a RESTful Web API written in Python for automating administration procedures and wrapping SOS functionalities and a Web graphical user Interface written in HTML/Javascript/CSS that allows for easing daily operations like service administration or data manipulation. The presentation will go through the details of the new features. istSOS is released under the GPL License, and should run on all major platforms (Windows, Linux, Mac OS X).
Presenter Biography:
Massimiliano is professor in Geomatics at SUPSI. He received his PhD in Gedoesy and Geomatics after his master degree in environmental engineering at the Politecnico di Milano. He's currently the head of the geomatic division within the Institute of Earth Sciences (www.ist.supsi.ch) in Switzerland. Massimiliano is member of the project steering committee (PSC) of the projects GIS GRASS and ZOO. He's group developed the istSOS and Geoshield project. His interest is mainly in (i) natural hazards, (ii) GIS embedded environmental modeling, (iii) geospatial Web services developement.
Milan P. Antonovic is research associate at SUPSI. He gradued as Business Data Processing Specialist and then got a Bachelor in Computer Software Engineering. He worked at several private companies as business applications developer, linked to the territory to be used by municipalities. Since the 2008 he's in SUPSI in the Division of Geomatics at the Institute of Earth Science. Over the years he was engaged with the development of various web applications and services within local and international research projects.