Gloria Bordogna

Gloria Bordogna
Italian National Research Council | CNR · Institute for Electromagnetic Sensing of the Environment IREA

About

218
Publications
17,307
Reads
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3,884
Citations
Citations since 2016
40 Research Items
1262 Citations
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2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
Introduction
Position: senior research scientist of the National Research Council (CNR) - Institute for the Electromagnetic Sensing of the Environment (IREA), Milano, Italy. She collaborates with LARGE (Laboratorio di Analisi dei Rischi e di Gestione delle Emergenze), with the Information Retrieval Laboratory at DISCO - MIlano Bicocca University, and with CST (Centro Studi sul Territorio) of Bergamo University. Research interests: soft computing for modeling imprecision and uncertainty of textual and geographic information, information retrieval and Flexible Query Languages, multisource geographic information fusion, Volunteered Geographic Information quality assessment, geo-temporal social network mining.
Additional affiliations
Position
  • From 2003 to 2010
Position
  • course on Information Retrieval and Geographic Information Systems at the Faculty of Engineering of Bergamo University.

Publications

Publications (218)
Article
Full-text available
The paper analyses the characteristics of Volunteer Geographic Information (VGI) and the need to assure and assess its quality for a possible use and re-use. Ontologies and soft ontologies are presented as means to support quality assurance and assessment of VGI by highlighting their limitations. A proposal of a possibilistic approach using fuzzy o...
Chapter
Flexible Query Answering Systems (FQAS) is a multidisciplinary research field at the crossroad of Information retrieval, databases, data mining, multimedia and geographic information systems, knowledge based systems, social networks, Natural Language Processing (NLP) and semantic web technologies, whose aim is to improve human ability to retrieve r...
Article
Full-text available
The paper proposes a fully automatic algorithm approach to map burned areas from remote sensing characterized by human interpretable mapping criteria and explainable results. This approach is partially knowledge-driven and partially data-driven. It exploits active fire points to train the fusion function of factors deemed influential in determining...
Article
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Sentinel-2 (S2) multi-spectral instrument (MSI) images are used in an automated approach built on fuzzy set theory and a region growing (RG) algorithm to identify areas affected by fires in Mediterranean regions. S2 spectral bands and their post- and pre-fire date (Dpost-pre) difference are interpreted as evidence of burn through soft constraints o...
Article
Full-text available
Distinct, alternative forms of geosemantics, whose classification is often ill-defined, emerge in the management of geospatial information. This paper proposes a workflow to identify patterns in the different practices and methods dealing with geoinformation. From a meta-review of the state of the art in geosemantics, this paper first pinpoints “ke...
Book
This book constitutes the refereed proceedings of the 14th International Conference on Flexible Query Answering Systems, FQAS 2021, held virtually and in Bratislava, Slovakia, in September 2021. The 16 full papers and 1 perspective papers presented were carefully reviewed and selected from 17 submissions. They are organized in the following topical...
Article
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The paper proposes a transparent approach for mapping the status of environmental phenomena from multisource information based on both soft computing and machine learning. It is transparent, intended as human understandable as far as the employed criteria, and both knowledge and data-driven. It exploits remote sensing experts’ interpretations to de...
Article
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The paper proposes a scalable fuzzy approach for mapping the status of the environment integrating several distinct models exploiting geo big data. The process is structured into two phases: the first one can exploit products yielded by distinct models of remote sensing image interpretation defined in the scientific literature, and knowledge of dom...
Article
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In this work we propose an approach for mapping flooded areas from Sentinel-2 MSI (Multispectral Instrument) data based on soft fuzzy integration of evidence scores derived from both band combinations (i.e. Spectral Indices - SIs) and components of the Hue, Saturation and Value (HSV) colour transformation. Evidence scores are integrated with Ordere...
Conference Paper
Full-text available
This paper describes an experiment carried out within the project “URBAN GEOmatics for Bulk data Generation, Data Assessment and Technology Awareness (URBAN GEO BIG DATA)” on novel technological solutions for encouraging the use of time series of big geodata by scientists, public administrators, and the citizens of urban areas. In this experiment,...
Article
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The paper deals with the general presentation of the Urban GEO BIG DATA, a collaborative acentric and distributed Free and Open Source (FOS) platform consisting of several components: local data nodes for data and related service Web deploy; a visualization node for data fruition; a catalog node for data discovery; a CityGML modeler; data-rich view...
Article
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This editorial introduces the special issue entitled “Geoinformatics in Citizen Science” of the ISPRS International Journal of Geo-Information. The issue includes papers dealing with three main topics. (1) Key tasks of citizen science (CS) in leveraging geoinformatics. This comprises descriptions of citizen science initiatives where geoinformation...
Article
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In the last decade, citizen science (CS) has seen a renewed interest from both traditional science and the lay public as testified by a wide number of initiatives, projects, and dedicated technological applications. One of the main reasons for this renewed interest lies in the fact that the ways in which citizen science projects are designed and ma...
Conference Paper
About 54% of world population nowadays lives in urban areas and this percentage is expected to increase up to 66% by 2050. Therefore, it is crucial to manage this social and cultural change by collecting, integrating and sharing reliable and open spatial information concerning the urban environments where we leave in. The present availability of hu...
Conference Paper
The present short paper describes the functionalities of a desktop tool enabling non-expert users to develop downstream services for the periodic download and processing of data from Sentinel sources. Index Terms: downstream service, flooded area mapping, Sentinel data, spectral indicators.
Article
Full-text available
The DBSCAN algorithm is a well-known density-based clustering approach particularly useful in spatial data mining for its ability to find objects’ groups with heterogeneous shapes and homogeneous local density distributions in the feature space. Furthermore, it can be suitable as scaling down approach to deal with big data for its ability to remove...
Article
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Planning in advance to prepare for and respond to a natural hazard-induced disaster-related emergency is a key action that allows decision makers to mitigate unexpected impacts and potential damage. To further this aim, a collaborative, modular, and information and communications technology-based Spatial Data Infrastructure (SDI) called SIRENE—Sist...
Chapter
The chapter investigates the kinds of imperfection affecting Volunteer Geographic Information (VGI) created by users eager to participate in some citizen science project. An approach based on the use of fuzzy domain ontologies and level-based approximate reasoning is suggested to represent and manage both the uncertainty of volunteers when describi...
Chapter
In order to effectively plan both preparedness and response to emergency situations it is necessary to access and analyse timely information on plausible scenarios of occurrence of ongoing events. Scenario maps representing the estimated susceptibility, hazard or risk of occurrence of an event on a territory are hardly generated real time. In fact...
Article
Full-text available
The paper discusses the need of a high-level query language to allow analysts, geographers and, in general, non-programmers to easily cross-analyze multi-source VGI created by means of apps, crowd-sourced data from social networks and authoritative geo-referenced data, usually represented as JSON data sets (nowadays, the de facto standard for data...
Conference Paper
The need for cross-analyzing JSON objects representing heterogeneous geo-referenced information coming from multiple sources, such as open data published on the Web by public administrations and crowd-sourced posts and images from social networks, is becoming common for studying, predicting and planning social dynamics. Nevertheless, although NoSQL...
Conference Paper
The paper proposes level-based approximate reasoning on a fuzzy ontology as a modeling framework to support the creation and retrieval of Volunteered Geographic Information (VGI) affected by observation deficiencies causing both uncertainty and fuzziness. The paper recalls the inadequacy of classic ontologies to create VGI, the limitation of the us...
Conference Paper
The paper proposes a novel perspective on Web discovery services of remote sensing images and derived products currently available through the Web portals of providers managing big geo-spatial data repositories. Actual discovery services do not provide facilities for ranking images based on queries specifying spatial-content conditions, i.e. asking...
Conference Paper
The objective of this paper is to fill in the gap existing between the need of business companies and analysts to spatially correlate open geo-data and social network geo-tagged information, and the lack of tools to enable this task in an easy way. To this end we propose a novel declarative query language named J-CO (JSON Collections) to perform co...
Article
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In this paper, we introduce an original approach that exploits timestamped geo-tagged messages posted by Twitter users through their smartphones when they travel to trace their trips. A clustering approach is applied to group similar trips to identify tours, and an interoperable framework is used to share the popular tours on the web, in order to a...
Article
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The effective access to and reuse of geospatial information (GI) has come to be of critical value in modern knowledge based society. The standardized web services defined by Open Geospatial Consortium (OGC) are frequently used for the implementation of a spatial data infrastructure (SDI), to expose geospatial data, metadata and models on the Web. T...
Article
Full-text available
This paper investigates the causes of imprecision of the observations and uncertainty of the authors who create Volunteer Geographic Information (VGI), i.e., georeferenced contents generated by volunteers when participating in some citizen science project. Specifically, various aspects of imprecision and uncertainty of VGI are outlined and, to cope...
Conference Paper
Full-text available
This contribution proposes a customizable SDI architecture to create, map, manage and share VGI in a full interoperable way by exploiting external knowledge on the context for which VGI is created, consisting of both domain ontologies and a representation of the entities of interest. The whole process of VGI creation by a smart app, VGI deploy on t...
Article
Full-text available
Currently, the best practice to support land planning calls for the development of Spatial Data Infrastructures (SDI) capable of integrating both geospatial datasets and time series information from multiple sources, e.g., multitemporal satellite data and Volunteered Geographic Information (VGI). This paper describes an original OGC standard intero...
Article
In this paper we propose a procedure consisting of a first collection phase of social network messages, a subsequent user query selection, and finally a clustering phase, defined by extending the density-based DBSCAN algorithm, for performing a geographic and temporal exploration of a collection of items, in order to reveal and map their latent spa...
Chapter
In this chapter we propose a framework for collecting, organizing into a database and querying information in social networks by the specification of content-based, geographic and temporal conditions to the aim of detecting periodic and aperiodic events. Our proposal could be a basis for developing context aware services. For example to identify th...
Article
Full-text available
The paper reports a case study on the design and development of an Information and Knowledge-based Platform (IKP), whose core is a Geospatial Data Infrastructure (GDI). The IKP aims to support the agriculture sector in the Lombardy region of Italy. The main novelty of the present work is related primarily to the management of geospatial data sets a...
Conference Paper
Full-text available
Within the last decade, there have been established and maintained various digital geographic information sources by both the public and citizens, in addition to traditional or official (authoritative) sources. This new type of information, commonly named by several neologisms such as crowdsourced information, Volunteered Geographic Information (VG...
Article
Full-text available
Despite Volunteered Geographic Information (VGI) activities are now extremely helpful in a number of scientific applications, researchers and decision makers oppose some resistance to the usage of volunteered contributions, due to quality issues. Several methods and workflows have been proposed to face quality issues in different VGI projects, usua...
Article
Full-text available
The application of fuzzy set theory to information retrieval has been applied, specifically to Boolean models. This includes fuzzy indexing procedures defined to represent the varying significance of terms in synthesizing the documents’ contents, the definition of query languages to allow the expression of soft selection conditions, and associative...
Article
Full-text available
High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from high-and low-spatial-resolution satellites is thought a key factor for studies that require...
Article
Full-text available
Agriculture is a global issue nowadays. At the European level, it is a sector, in which we are investing many resources. In particular, the Agri-Food sector plays a central role in the policies of the European Commission and the Horizon 2020 research and innovation program, as well as being the main theme of Expo 2015 that will be held in Milan, Lo...
Article
Initiatives that rely upon the contributions of volunteers to reach a specific goal are growing more and more with the success of Web 2.0–interactive applications. Also scientific projects are testing and exploiting volunteers' collaboration, but the quality of information obtained with this approach is often puzzling. This paper offers a rich over...
Conference Paper
Full-text available
En los tiempos actuales, ante el aumento de la demanda de alimentos, el incremento del precio de ellos y la adopción de nuevas técnicas para la agricultura, es más importante la optimización de las explotaciones agrícolas. Ante este escenario, nace el proyecto Europeo ERMES (An Earth Observation Model based Rice Information Service, http://www.ERME...
Conference Paper
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Introduzione ed obiettivi: Per un efficiente monitoraggio dei sistemi colturali, risulta di fondamentale importanza disporre con tempestività di informazioni circa la tipologia delle colture seminate e le dinamiche colturali in atto. Gli agro-ecosistemi europei si caratterizzano per avere forte frammentazione dei singoli appezzamenti agricoli, ampi...
Conference Paper
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More than 100 years of systematic glacier monitoring in the Italian Alps have produced one of the longest and most valuable series of observations of this kind in the world. The collection is relevant not only for its value as historical archive, but also as an important reference for analyzing past trends and for modeling the future of the cryosph...
Article
When querying documents archives there is often the need to specify importance weights of the search terms that define flexible selection conditions on documents representation. Several interpretations of the semantics of these weights have been proposed within distinct information retrieval models. In this contribution we define a unifying model o...
Conference Paper
Full-text available
In this contribution we analyze the problem of the fusion of time series of heterogeneous remote sensing images to serve classification and monitoring activities which can aid farming applications such as crop classification, change detection and monitoring. We propose several soft fusion operators that are based on different assumptions and model...
Conference Paper
Full-text available
In this work we propose an extension of the DBSCAN algorithm to generate clusters with fuzzy density characteristics. The original version of DBSCAN requires two parameters (minPts and ε) to determine if a point lies in a dense area or not. Merging different dense areas results into clusters that fit the underlined dataset densities. In this approa...
Article
In this chapter, a soft fusion approach of a set of aligned registered images is described, in which each image represents a distinct theme of the same territory. The objective of the fusion is to evaluate the spatial units of the territory, pixels or cells, by a group of experts through associating to the spatial units scores representing their su...
Article
The paper analyses the challenges and problems posed by the use of Volunteered Geographic Information (VGI) in citizen science and a proposal is formulated for assessing VGI quality based on a linguistic decision making approach so as to allow its feasible use for scientific purposes. VGI quality is represented by indicators at distinct levels of g...
Presentation
Full-text available
The project aims to use the techniques of Earth Observation to improve the planning and management of the agricultural sector in Lombardy, Italy. WP4 supports this aim with design and development of applications both of Geoportal type and Mobile app for in-situ data aquisition and integration with othre relevant data resources (e.g. meteo, farming)...
Conference Paper
Forecasting natural disasters, as wildfires or floods, is a mandatory activity to reduce the level of risk and damage to people, properties and infrastructures. Since estimating real-time the susceptibility to a given phenomenon is computationally onerous, susceptibility maps are usually pre-computed. So, techniques are needed to efficiently query...
Article
Full-text available
The paper presents an approach to manage Volunteered Geographic Information (VGI) to point out anomalous conditions of the environment. This can help administrators in charge of the governance and maintenance activities of the territory to plan mitigation and safeguard interventions. To this end, a system is designed to collect VGI reports and oper...
Article
Full-text available
European Alpine glaciology has a long tradition of studies and activities, in which researchers have often relied on the field work of some specialized volunteer operators. Despite the remarkable results of this cooperation, some problems in field data harmonization and in covering the whole range of monitored glaciers are still present. Moreover,...
Conference Paper
Full-text available
In this contribution we analyze the problem of the fusion of time series of heterogeneous remote sensing images to serve classification and monitoring activities which can aid farming applications such as crop classification, change detection and monitoring. We propose several soft fusion operators that are based on different assumptions and model...