Ana-Maria Olteanu Raimond

Institut national de l’information géographique et forestière | IGN · Research

Mapping Land Use (LU) is crucial for monitoring and managing the dynamic evolution of the human activities of a given area and their consequential environmental impacts. In this study, a multimodal machine learning framework, using the XGBoost classifier applied to attributes constructed from heterogeneous spatial data sources, is defined and used...

The deteriorating air quality in urban areas, particularly in developing countries, has led to increased attention being paid to the issue. Daily reports of air pollution are essential to effectively manage public health risks. Pollution estimation has become crucial to expanding spatial and temporal coverage and estimating pollution levels at diff...

Land cover mapping is crucial for natural resource assessment, urban planning, and sustainable development. Land cover nomenclature often includes two or three hierarchic levels with tree-like hierarchical structures. This study aims to explore these hierarchical relationships and the potential of hierarchical semantic segmentation for land cover m...

Accurate land use maps, describing the territory from an anthropic utilisation point of view, are useful tools for land management and planning. To produce them, the use of optical images alone remains limited. It is therefore necessary to make use of several heterogeneous sources, each carrying complementary or contradictory information due to the...

To evaluate the quality of OSM data, similarities between OSM features and their homologous features represented in a reference database are relevant metrics. However, reference databases do not exist everywhere or are not freely available. Thus, having data quality assessment methods that rely only on intrinsic indicators (i.e. based on data itsel...

The deteriorating air quality in urban areas, particularly in developing countries, has led to increased attention being paid to the issue. Daily reports of air pollution are essential to effectively manage public health risks. Pollution estimation has become crucial to expanding spatial and temporal coverage and estimating pollution levels at diff...

When people are injured or lost in mountains during outdoor activities and when web-based locations are not available, they locate themselves by describing their environment, routes and activities. The description of their location is done using landmarks and spatial locations (e.g., “I am located in front of Punay Lake”, “I am near a protected are...

Urban functional zone mapping is essential for providing deeper insights into urban morphology and improving urban planning. The emergence of Volunteered Geographic Information (VGI), which provides abundant semantic data, offers a great opportunity to enrich land use information extracted from remote sensing (RS) images. Taking advantage of very-h...

In this paper, we examine the properties of the radial distance which has been used as a tool to compare the shape of simple surfacic objects. We give a rigorous definition of the radial distance and derive its theoretical properties, and in particular under which conditions it satisfies the distance properties. We show how the computation of the r...

The potential of citizens as a source of geographical information has been recognized for many years. Such activity has grown recently due to the proliferation of inexpensive location aware devices and an ability to share data over the internet. Recently, a series of major projects, often cast as citizen observatories, have helped explore and devel...

The increase of recreational activities in the mountains and a growing amount of websites proposing geographic data, offer new opportunities for societal needs such as mountain rescue, biodiversity monitoring, outdoor activities. However, the main issue with the websites data is the lack of metadata that minimizes its reuse outside the community th...

Importing spatial open data in OpenStreetMap (OSM) project, is a practice that has existed from the beginning of the project. The rapid development and multiplication of collaborative mapping tools and open data have led to the growth of the phenomenon of importing massive data into OSM. The goal of this paper is to study the evolution of the massi...

Updating an authoritative Land Use and Land Cover (LULC) database requires many resources. Volunteered geographic information (VGI) involves citizens in the collection of data about their spatial environment. There is a growing interest in using existing VGI to update authoritative databases. This paper presents a framework aimed at integrating mul...

Data quality assessment of OpenStreetMap (OSM) data can be carried out by comparing them with a reference spatial data (e.g authoritative data). However, in case of a lack of reference data, the spatial accuracy is unknown. The aim of this work is therefore to propose a framework to infer relative spatial accuracy of OSM data by using machine learn...

Land use and land cover (LULC) mapping is often undertaken by national mapping agencies, where these LULC products are used for different types of monitoring and reporting applications. Updating of LULC databases is often done on a multi-year cycle due to the high costs involved, so changes are only detected when mapping exercises are repeated. Con...

Crowdsourced traces collected by GPS devices during sports activities are now widely available on different websites. The goal of this paper is to study the potential of crowdsourced traces coming from GPS devices to highlight updates in authoritative geographic data. To reach this goal, an approach based on two steps is proposed. First, a data mat...

Cet article propose une méthodologie destinée à transformer une description de position exprimée dans un référentiel indirect en une position absolue dans un référentiel direct. Cette problématique nécessite une formalisation des éléments de localisation relatifs, ici sous la forme d’un modèle en triplets, utilisé ensuite comme base de référencemen...

Traces collected by citizens using GNSS (Global Navigation Satellite System) devices during sports activities such as running, hiking or biking are now widely available through different sport-oriented collaborative websites. The traces are collected by citizens for their own purposes and frequently shared with the sports community on the internet....

Knowing the sources of the imperfections of geographic information plays a significant part in characterizing its internal quality but also in handling its external quality in the areas of application in which it plays a central role. These applications may meet everyday needs, such as calculating itineraries, or complex issues, such as land manage...

This work is part of LandSense European H2020 project aiming to build a citizen platform for monitoring Land Use and Land Cover (LULC) data by integrating different types of information such as citizens-contributed data and proposing a set of services (Matheus et al., 2018). One of the pilot studies proposed in LandSense is to monitor urban dynamic...

The CHOUCAS project aims at helping mountain rescue services to locate a victim who describes her location by means of spatial relations with reference geographic features. In this context, the study presented in this paper aims at better understanding what reference features and spatial relations are used to locate oneself in a mountain area, with...

Many different websites offer the opportunity to share and download landmarks and routes produced by the crowd. Landmarks near to a route or routes passing near to some landmarks may help in the context of mountain rescue. Therefore, it is necessary to identify relevant data sources and to describe their characteristics. In this paper, we set out t...

Accurate and up-to-date information on land use and land cover (LULC) is needed to develop policies on reducing soil sealing through increased urbanization as well as to meet climate targets. More detailed information about building function is also required but is currently lacking. To improve these datasets, the national mapping agency of France,...

L’article porte sur le potentiel des données passives de la téléphonie mobile pour produire des matrices origine-destination de déplacements. L’utilisation des données Orange (contenant appels, SMS ainsi que les données de signalisation) collectées du 31 mars au 11 avril 2009 en Île-de-France permet grâce aux estampilles spatiotemporelles, de const...

Volunteered Geographic Information (VGI) has become a rich and well established source of geospatial data. From the popular OpenStreetMap (OSM) to many citizen science projects and social network platforms, the amount of geographically referenced information that is constantly being generated by citizens is burgeoning. The main issue that continues...

Despite the considerable growth in Volunteered Geographic Information (VGI) activities in citizen sensing and the evident opportunities for VGI use in map revision and updating, few European National Mapping Agencies (NMAs) or other types of government bodies have engaged significantly with VGI. Moreover , the level of engagement of NMAs with the V...

In this final chapter, we speculate on future developments in the field of Volunteered Geographic Information (VGI); we focus on how VGI will be affected by future technological developments, but we also consider issues such as VGI 378 Mapping and the Citizen Sensor quality, the relationship of VGI with science and citizens, and the impact of VGI i...

The role of citizens in mapping has evolved considerably over the last decade. This chapter outlines the background to citizen sensing in mapping and sets the scene for the chapters that follow, which highlight some of the main outcomes of a collaborative programme of work to enhance the role of citizens in mapping.

Today almost any kind of User Generated Content (UGC) can be situated within a geographic context. Volunteered Geographic Information (VGI) can include many types of UGC, such as georeferenced photographs, social media and text, geographic data themselves, etc. There are legal, privacy and ethical issues raised by VGI, and at present these are not...

Data quality assessment of different volunteered initiatives and platforms presents several challenges for data validation given the high amount of data collected. This paper focuses on two goals. The first consists in defining both a generic workflow and data quality indicators for validation of reports coming from crowd and community sourcing pla...

With the development of location-aware devices and the success and high use of Web 2.0 techniques, citizens are able to act as sensors by contributing geographic information. In this context, data quality is an important aspect that should be taken into account when using this source of data for different purposes. The goal of the paper is to analy...

A protocol for the collection of vector data in Volunteered Geographic Information (VGI) projects is proposed. VGI is a source of crowdsourced geographic data and information which is comparable, and in some cases better, than equivalent data from National Mapping Agencies (NMAs) and Commercial Surveying Companies (CSC). However, there are many dif...

The paper presents empirical research on the quality of the toponyms that can be retrieved from OpenStreetMap (OSM) under the purpose of enriching authoritative toponymic databases and gazetteers. An analysis on the volatility of places and points-of-interest (POIs) is presented. We examine how named features behave and change in terms of type, nam...

Nowadays, crowdsourced GPS data are widely available in a huge amount. A number of people recording them has been increasing gradually, especially during sport and spare time activities. The traces are made openly available and popularized on social networks, blogs, sport and touristic associations' websites. However, their current use is limited t...

There is much interest in being able to combine crowdsourced data. One of the critical issues in information sciences is how to combine data or information that are discordant or inconsistent in some way. Many previous approaches have taken a majority rules approach under the assumption that most people are correct most of the time. This paper anal...

Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be varia...

Mobile phone operators produce enormous amounts of data. In this paper we present applications performed with a dataset (communication events + handover and Location Area Up-date) collected by the operator Orange from 31 March to 11 April 2009 for the whole Paris Region. Trips are deduced from the spatio-temporal trajectory of devices through a hyp...

This paper presents a framework for considering quality control of volunteered geographic information (VGI). Different issues need to be considered during the conception, acquisition and post-acquisition phases of VGI creation. This includes items such as collecting metadata on the volunteer, providing suitable training, giving corrective feedback...

Nowadays, needs for very up to date referential spatial data increase significantly. Thus, a continuous update of authoritative spatial databases becomes highly demanding task in both aspects, technical and financial. In the same time, alternative sources of spatial data, such as Volunteered Geographical Information – VGI (Goodchild, 2007) seems to...

Nowadays geographic vector data is produced both by public and private institutions using well defined specifications or crowdsourcing via Web 2.0 mapping portals. As a result, multiple representations of the same real world objects exist, without any links between these different representations. This becomes an issue when integration, updates, or...

The perspective of European National Mapping Agencies (NMA) on the role of citizen sensing in map production was explored. The NMAs varied greatly in their engagement with the community generating volunteered geographic information (VGI) and in their future plans. From an assessment of NMA standard practices, it was evident that much VGI was acquir...

Publication dans les archives ISPRS des articles soumis dans le cadre de l'évènement ISPRS Geospatial Week 2015.

In this paper, an approach aiming to classify geohistorical data from the 18th century to our days is proposed. The classification approach is based on two non-supervised classification methods: the Kohonen map and the Ascending Hierarchical Classification (AHC). The first one is used to organise input data into homogeneous zones, while the AHC is...

In this chapter we present an overview of the main sources of data coming frommobile phone tracking and models allowing the use of these data. Several issues due to the quality of mobile phone data are explained. In particular, we provide a taxonomy of mobile phone data imprecision and suggest new metrics to estimate the basic properties of displac...

Losses in biodiversity critically impact the ability of ecosystems to provide critical services ranging from carbon sequestration and food production to the maintenance of soil fertility. The maintenance of biodiversity is thus essential for human well-being and a sustainable future. Since landscape diversity often relates to species biodiversity,...

Mobile communication technologies pervade our society and existing wireless networks are able to sense the movement of people, generating large volumes of data related to human activities, such as mobile phone call records. At the present, this kind of data is collected and stored by telecom operators infrastructures mainly for billing reasons, yet...

This paper is an output of a French national project called ISpace&Time aiming to provide a 4 dimensional platform of an urban dynamics. In order to express the urban traffic, we took an advantage of the mobile phone data to investigate the behavior of the origin destination flow within the Paris and its suburb aiming to explore the different mode...

Data reflecting movements of people, such as GPS or GSM tracks, can be a source of information about mobility behaviors and activities of people. Such information is required for various kinds of spatial planning in the public and business sectors. Movement data by themselves are semantically poor. Meaningful information can be derived by means of...

Nous présentons une méthode de génération de matrices de flux Origine-Destination réalisée à partir de l’exploitation de traces spatio-temporelles de téléphones portables. La méthode s’appuie sur une procédure de filtrage temporel fondée sur un algorithme de décomposition empirique du signal (Empirical Mode Decomposition) ; elle tient compte de l’h...

Nous présentons une méthode de génération de matrices de flux Origine-Destination réalisée à partir de l’exploitation de traces spatio-temporelles de téléphones portables. La méthode s’appuie sur une procédure de filtrage temporel fondée sur un algorithme de décomposition empirique du signal (Empirical Mode Decomposition) ; elle tient compte de l’h...

In the past few years the mobile phone data are considered as a useful complementary source of information for human mobility research. In this paper, we focus on the computation of the Origin Destination matrix using mobile phone data. First, a new approach of OD matrix design which takes into account the spatiotemporal heterogeneities of mobile p...

The aim of the GeoPeuple project is to analyze the raise of population from the late XVIII to the early XXI century according to the topographic elements that characterize each commune (administrative area conceptually close to municipality): the infrastructure, the equipment, the settlements as well as the natural component such as the relief. We...

Certains résultats issus de l’analyse des interactions spatiales donnent lieu à une partition de l’espace issue de la modélisation des relations préférentielles. On parle dès lors d’un processus de régionalisation fonctionnelle par les flux qui se manifeste, sur le plan cartographique, par un nouveau découpage du territoire. Ce découpage décrit des...

In the past few years, mobile network data are considered as a useful complementary source of information for human mobility research. Mobile phone datasets contain massive amount of spatiotemporal localization of millions of users. The analyze of such huge amount of data for mobility studies reveals many issues such as time computation, users samp...

In this paper, we will review several alternative methods of collecting data from mobile phones for human mobility analysis. We will briefly describe cellular phone network architecture and the location data it can provide, and will discuss two types of data collection: active and passive localization. Active localization is something like a person...

Purpose — In this chapter, we will review several alternative methods of collecting data from mobile phones for human mobility analysis. We propose considering cellular network location data as a useful complementary source for human mobility research and provide case studies to illustrate the advantages and disadvantages of each method. Methodolo...

Human mobility analysis is an important issue in social sciences, and mobility data are among the most sought-after sources of information in ur- Data ban studies, geography, transportation and territory management. In network sciences mobility studies have become popular in the past few years, especially using mobile phone location data. For prese...

Les données issues de la téléphonie mobile sont apparues ces dernières années comme une source d’information complémentaire pour l’analyse des mobilités humaines spatialisées. Les traces de téléphones portables, assimilées à des marqueurs de déplacements individuels, sont, en effet, appréhendées soit au niveau élémentaire du cheminement individuel,...

Nowadays, new ubiquitous technologies (GSM, GPS, Wifi, RFID...) capture large amounts of spatiotemporal data. The trajectories inferred from these data provide additional information for analyzing human mobility. In this context, our research is focused on modeling spatiotemporal trajectories from digital traces of mobile phone in order to study th...