@article {pierdicca2016smart,
	title = {Smart maintenance of riverbanks using a standard data layer and Augmented Reality},
	journal = {Computers \& Geosciences},
	volume = {95},
	year = {2016},
	pages = {67{\textendash}74},
	publisher = {Pergamon},
	author = {Roberto Pierdicca and Emanuele Frontoni and Primo Zingaretti and Adriano Mancini and Eva Savina Malinverni and Anna Nora Tassetti and Marcheggiani, Ernesto and Galli, Andrea}
}
@article {Frontoni2014853,
	title = {SIT-REM: An interoperable and interactive web geographic information system for fauna, flora and plant landscape data management},
	journal = {ISPRS International Journal of Geo-Information},
	volume = {3},
	number = {2},
	year = {2014},
	note = {cited By 0},
	pages = {853-867},
	publisher = {MDPI AG},
	abstract = {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. 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{\textquoteright} experiences.. {\textcopyright} 2014 by the authors; licensee MDPI, Basel, Switzerland.},
	issn = {22209964},
	doi = {10.3390/ijgi3020853},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84948991558\&partnerID=40\&md5=e554cb57d885eec6bb72afa03e616523},
	author = {Emanuele Frontoni and Adriano Mancini and Primo Zingaretti and Eva Savina Malinverni and Pesaresi, S.c and Biondi, E.c and Pandolfi, M.d and Marseglia, M.e and Mirco Sturari and Zabaglia, C.g}
}
@conference {Frontoni2009,
	title = {Stability maps for really exploitable automatic classification results},
	booktitle = {2009 17th International Conference on Geoinformatics, Geoinformatics 2009},
	year = {2009},
	note = {cited By 1},
	abstract = {The paper describes a new methodology for producing really exploitable results from automatic classification algorithms. The output of these algorithms is usually constituted by an image with each region assigned to one out of n classes. If the end user, on the basis of results obtained from a control set provided with a ground truth, simply knows that classification over the whole dataset can be considered correct at, for example, 85\% (s)he cannot know where correct and erroneously classified regions are really located in the whole dataset. Obviously, the result obtained can be exploited to effectively compute global indexes over the dataset, but it cannot be used as a thematic map. Thus, in addition to the assignment of a class to each region we propose an approach that provides a stability map, a binary image that separates regions (S) classified with high accuracy from those (U) whose classification result should be verified before being used. Two further benefits derive from the construction of the stability map: the control set can be used to set up a good threshold for binarizing the stability map (that is, a threshold by which all regions S are effectively correctly classified); unreliable regions U can help the end user to identify principal causes of (types of regions leading to) misclassification and corresponding (fuzzy, neural, rule based, etc.) approaches to overcome them.},
	doi = {10.1109/GEOINFORMATICS.2009.5293443},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-74349085598\&partnerID=40\&md5=9cde6053a2e8199444209988fccd5e2c},
	author = {Emanuele Frontoni and A. Bernardini and Eva Savina Malinverni and Adriano Mancini and Primo Zingaretti}
}
