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Ingensand Jens

Professeur HES ordinaire, Responsable du groupe thématique de compétence Géomatique

Compétences principales

Mixed Reality (Virtual & Augmented)

Professeur HES ordinaire, Responsable du groupe thématique de compétence Géomatique

Téléphone: +41 24 557 63 84

Bureau: D03

Haute école d'Ingénierie et de Gestion du Canton de Vaud
Route de Cheseaux 1, 1400 Yverdon-les-Bains, CH

Institut
insit - Institut d’ingénierie du territoire

BSc HES-SO en Génie territorial - Haute école d'Ingénierie et de Gestion du Canton de Vaud

Systèmes d'information géographique
Spatial data infrastructures
Geoinformatics
Geovisualization

BSc HES-SO en Géomatique - Haute école d'Ingénierie et de Gestion du Canton de Vaud

GIS
Geoinformatics

MSc UNIGE/HES-SO en Développement territorial - HES-SO Master

Spatial data infrastructures
Geovisualization
Advanced development of geospatial tools

MSc HES-SO en Engineering - HES-SO Master

Machine Learning on Geospatial Big Data

En cours

The Invasive Citizen

Rôle: Requérant(e) principal(e)

Financement: FNS

Description du projet :

A variety of reasons contribute to the spread of Exotic Invasive Plant Species (EIPS), which not only threaten ecosystems but also have a large economic impact. Managing these invasive species is a difficult and costly task. Despite increased media coverage of EIPS, public awareness of their consequences remains limited. This shortcoming is especially evident in science education and communication, as gaps exist in understanding prediction approaches, ecological consequences and public participation in monitoring and eradicating EIPS.
This proposed Agora project, aims to address this critical issue through a science communication approach, aiming to enhance understanding and management of the geographical distribution of EIPS.

Equipe de recherche au sein de la HES-SO: Ingensand Jens , Lotfian Maryam

Partenaires académiques: Tocchetti Sara, MUZOO

Montant global du projet: 50'000 CHF

Statut: En cours

Terminés

BioPocket

AGP

Rôle: Requérant(e) principal(e)

Financement: HES-SO Rectorat

Description du projet : La biodiversité urbaine a une influence importante sur la santé psychologique et physique des citoyens; ainsi elle a une valeur économique directe et indirecte. Un certain nombre d'acteurs stratégiques sont aujourd'hui sensibilisés aux enjeux du maintien de la biodiversité en milieu urbain. Plusieurs villes suisses ont développé des programmes d'actions politiques pour soutenir cette biodiversité urbaine. La Confédération a aussi défini des indicateurs de biodiversité et entretient un réseau de mesures de la biodiversité. Cependant, cet enjeu ne déborde que très peu des sphères des décideurs publics et la grande majorité de la population n'a qu'un rapport diffus avec cette notion. Il en résulte qu'une multitude de petits actes déterminants pour la progression de la biodiversité ne sont pas réalisés et que, face à cette forme d'indifférence ou d'ignorance du grand public, la biodiversité n'est pas vraiment un enjeu politique. Les ressources allouées aux programmes politiques en cours aux échelles locales sont donc assez faibles. Autrement dit, l'un des enjeux du succès de ces politiques passe par la création d'une relation plus étroite entre les citoyens et la biodiversité urbaine et ce projet souhaite y contribuer par le développement d'une application accessible au plus grand nombre. Sur le plan technique, ce projet développe un outil interactif (application mobile) de communication sur la biodiversité urbaine. Les utilisateurs auront ainsi un accès facile à de l'information, présentée en réalité augmentée, concernant la biodiversité de leur environnement direct. L'application lie ainsi l'information spatiale (localisation de l'utilisateur et contexte urbain) à l'information sur la biodiversité. D'un point de vue théorique, ce projet s'appuie sur la théorie de la communication engageante qui se situe au croisement de la psychologie sociale et de la communication. Elle consiste à intégrer, dans les outils de communication, la possibilité pour le public de réaliser de petits actes « engageants » qui facilitent ensuite la réalisation d'actions plus déterminantes. Dans ce contexte, les micro-actes consistent ainsi pour les citoyens à alimenter l'outil par des relevés, photos ou commentaires. Scientifiquement, le projet sera validé par une enquête auprès des utilisateurs qui permettra de vérifier l'hypothèse à la base du projet: les utilisateurs de l'application 1) sont plus sensibilisés aux enjeux de la protection de la biodiversité et 2) réalisent d'avantage d'actions concrètes en faveur de la biodiversité.

Equipe de recherche au sein de la HES-SO: Divorne Sandrine , Oulevay Simon , Comte Daniel , Pénault Ravaillé Millo , Oberson Mathias , Jotterand Didier , Ertz Olivier , Blanc Nicolas , Ingensand Jens , Frossard Pierre-André , Produit Timothée , Lotfian Maryam , Campisi David , Composto Sarah Hélène

Partenaires académiques: MEI; INSIT; hepia inTNE; Ingensand Jens, INSIT

Durée du projet: 01.01.2016 - 30.04.2019

Montant global du projet: 170'000 CHF

Statut: Terminé

CrowDPLOS : Disabled pedestrian level of service extracted from crowdsourced images

AGP

Rôle: Co-requérant(s)

Requérant(e)s: VS - Institut Informatique, Cotting Alexandre, VS - Institut Informatique

Financement: Fondation Hasler

Description du projet : CrowDPLOS : Disabled pedestrian level of service extracted from crowdsourced images

Equipe de recherche au sein de la HES-SO: Divorne Sandrine , Rojas Diego , Loubier Jean-Christophe , Liu Zhan , Ertz Olivier , Sandoz Romain , Blanc Nicolas , Sokhn Maria , Ingensand Jens , Shabani Shaban , Cotting Alexandre

Partenaires académiques: CE-RaD; VS - Institut Informatique; VS - Institut Tourisme; FIN-RaD; Cotting Alexandre, VS - Institut Informatique

Durée du projet: 01.04.2017 - 31.12.2018

Montant global du projet: 49'300 CHF

Statut: Terminé

Le sol: régulateur du climat en milieu urbain

AGP

Rôle: Co-requérant(s)

Financement: HES-SO Rectorat; FR - EIA - Général école Ra&D; FR - EIA - Institut iTEC

Description du projet : En milieu urbain, la ressource naturelle sol est soumise à des pressions de plus en plus fortes. Ses fonctions écologiques, économiques et sociales (support, production, filtre, cycle des éléments, habitat pour la biodiversité, élément paysager, patrimoine culturel, etc.) sont ainsi fortement menacées. La régulation thermique en est une particulièrement importante, où une augmentation significative des températures par rapport aux milieux périphériques a été observée. Dans le but de mieux comprendre le rôle du sol dans le climat urbain, un inventaire des différents types de sols, ainsi que leur utilisation, sera effectué dans une ville-test. Un dispositif expérimental sera ensuite mis en place in situ afin de répondre aux questions suivantes : quel type de sol urbain (épaisseur, composition) permet une régulation thermique efficace? Quelle est la surface de sol minimale pour assurer la fonction de régulation thermique, quelle est sa valeur financière estimée?

Equipe de recherche au sein de la HES-SO: Bullinger Géraldine , Spahni Bruno , Sanchez Miguel , Ingensand Jens , Froidevaux Manuel , Gallinelli Peter , Camponovo Reto , Produit Timothée , Varesano Damien , Composto Sarah Hélène , Thomann Pascal

Partenaires académiques: INSIT; hepia inPACT

Durée du projet: 01.01.2014 - 31.10.2016

Montant global du projet: 184'600 CHF

Statut: Terminé

2023

Solar potential on facades at urban scale :

Article scientifique ArODES

an integrated approach combining solar and digital building modelling

Gilles Desthieux, Adrien Gressin, Blaise Raybaud, Jens Ingensand

Journal of Physics: Conference Series ; Proceedings of CISBAT2023, the built environment in transititon, Hybrid International Scientific Conference, 2600, 4, 042004

Lien vers la publication

Résumé:

The paper presents an integrated approach to improve the solar radiation modelling on facades in large-scale built-up areas. The modelling of the built environment must first be improved in terms of level of detail. Thus, from aerial oblique images, a digital twin of the urban scene is created, allowing to process the facades as textured objects and to detect windows using an artificial intelligence image processing. Reflected radiation is significant on vertical surfaces, but complex to model on large areas. The developed model is based on a simplified radiosity approach, which reduces the volume of analysis, storage and thus the computation time, while producing reliable results. A demonstration of the integrated tool is presented for an urban area in Geneva (1 km2), including a solar energy balance assessment for one of the buildings using the results from the solar modelling. The perspective is to generalise the approach to a larger scale and to complete the solar cadastre of the roofs of the Greater Geneva area with the facades.

Artificial intelligence and visual analytics in geographical space and cyberspace :

Article scientifique ArODES

research opportunities and challenges

Min Chen, Christophe Claramunt, Arzu Cötelkin, Xintao Liu, Peng Peng, Anthony C. Robinson, Dajiang Wang, Josef Strobl, John Wilson, Michael Batty, Mei-Po Kwan, Maryam Lotfian, François Golay, Stéphane Joost, Jens Ingensand, Ahmad M. Senousi, Tao Cheng, Temenoujka Bandrova, Milan Konecny, Paul M. Torrens, Alexander Klippel, Songnian Li, Fengyuan Zhang, Li He, Jinfeng Wang, Carlo Ratti, Olaf Kolditz, Hui Lin, Guonian Lü

Earth-Science Reviews, 2023, vol. 241

Lien vers la publication

Résumé:

In recent decades, we have witnessed great advances on the Internet of Things, mobile devices, sensor-based systems, and resulting big data infrastructures, which have gradually, yet fundamentally influenced the way people interact with and in the digital and physical world. Many human activities now not only operate in geographical (physical) space but also in cyberspace. Such changes have triggered a paradigm shift in geographic information science (GIScience), as cyberspace brings new perspectives for the roles played by spatial and temporal dimensions, e.g., the dilemma of placelessness and possible timelessness. As a discipline at the brink of even bigger changes made possible by machine learning and artificial intelligence, this paper highlights the challenges and opportunities associated with geographical space in relation to cyberspace, with a particular focus on data analytics and visualization, including extended AI capabilities and virtual reality representations. Consequently, we encourage the creation of synergies between the processing and analysis of geographical and cyber data to improve sustainability and solve complex problems with geospatial applications and other digital advancements in urban and environmental sciences.

Media coverage of 3D visual tools used in urban participatory planning

Article scientifique ArODES

Thibaud Chassin, Jens Ingensand, Florent Joerin

International Journal of E-Planning Research, 2023, vol. 12, no. 1, article no. 85

Lien vers la publication

Résumé:

The opportunities provided by adopting digitally-generated visual tools in urban participatory planning are compelling. These visual tools can promote interactions between authorities and citizens and among citizens. However, the urban participatory practices of these tools are often described from an academic perspective, which leads to a lack of knowledge from the practitioner's outlook. This study investigates practices of 3D visual tools in applied urban projects. The applied projects were recovered from media coverage. The objective is to describe participatory projects and their adopted 3D tools with a contextual and technical lens. The findings demonstrate that 3D visuals are mostly adopted for communication with a realistic representation and limited interaction in the later stage of the project where negotiation margins are insufficient at a small and medium urban scale. A better understanding of applied practices can help to introduce guidelines that support practitioners in designing approaches that benefit from the full potential of 3D visual tools.

2022

E-guerrilla 3D participation :

Article scientifique ArODES

approach, implementation, and usability study

Thibaud Chassin, Jens Ingensand

Frontiers in Virtual Reality, 2022, no. 3, article no. 1054252

Lien vers la publication

Résumé:

Typical urban participatory approaches engage citizens through lengthy sessions far from the area under transformation by an urban project. Several issues result from these settings of involvement including the mobilization of similar individuals, overwhelming participatory codes, or a gap between the affected urban landscape and the location of the session. This study introduces a modern approach that leverages the use of 3D web applications to address some of the critical challenges of popular participatory sessions. The developed approach, named e-guerrilla 3D participation, is based on five dimensions: immediate participation, ease of use, flexibility, place-based engagement, and immersivity. A prototype complying with these five dimensions was implemented in this study. The prototype promotes an in situ engagement where all the users (without distinction) of a public area can explore a future urban project and get involved within minutes. A usability study conducted with 26 expert and non-expert participants investigated the prototype through a fictive scenario. The findings demonstrate a positive outcome in terms of participatory results that are identifiable with the prototype (highlighting the controversial elements of the projects) and encourage feedback collected during a survey and interview. The usability study suggests key aspects that should be considered to improve the design of participatory sessions and their interactive mediums (or tools), such as realism, affordance, incentive, and purpose. The promising participatory approach (and prototype), which was unpacked step-by-step in this study, does not replace typical practices but could help to complement them by reaching a non-selected and broader public; hence leading to the design of more inclusive participatory approaches.

2021

Impact of digital and non-Digital urban participatory approaches on public access conditions :

Article scientifique ArODES

an evaluation framework

Thibaud Chassin, Adeline Cherqui, Jens Ingensand, Florent Joerin

ISPRS International Journal of Geo-Information, 2021, vol. 10, no. 8, article no. 563

Lien vers la publication

Résumé:

The gradual institutionalization of public participation increasingly compels local authorities to partially share their power over the transformation of urban areas. The smooth running of a participatory session is based on selecting the appropriate type of interaction, or medium, which supports the local authorities to reach and interact with a targeted public. However, local authorities often appear unfamiliar with the organization of interactive sessions with the population. This article introduces an evaluation framework that focuses on the access conditions of participants to the sessions of interaction. This novel perspective aspires to assist the local authorities in their decision to adopt a participatory medium (or method of interaction). Seven dimensions are investigated to this aim, namely accessibility, availability, adequacy, affordability, acceptability, awareness, and attractiveness (the last dimension is introduced in this article). In light of two real case scenarios that occurred in Western Switzerland, the use of the access framework is investigated for two potential purposes: (1) supporting the choice of a medium for an interactive session according to the urban project’s context and the targeted public; and (2) improving future participatory approaches by assessing the representativeness of participants attending a past session in comparison to the originally targeted public.

The partnership of citizen science and machine learning :

Article scientifique ArODES

benefits, risks, and future challenges for engagement, data collection, and data quality

Maryam Lotfian, Jens Ingensand, Maria Antonia Brovelli

Sustainability, 2021, vol. 13, no. 14, article no. 8087

Lien vers la publication

Résumé:

Advances in artificial intelligence (AI) and the extension of citizen science to various scientific areas, as well as the generation of big citizen science data, are resulting in AI and citizen science being good partners, and their combination benefits both fields. The integration of AI and citizen science has mostly been used in biodiversity projects, with the primary focus on using citizen science data to train machine learning (ML) algorithms for automatic species identification. In this article, we will look at how ML techniques can be used in citizen science and how they can influence volunteer engagement, data collection, and data validation. We reviewed several use cases from various domains and categorized them according to the ML technique used and the impact of ML on citizen science in each project. Furthermore, the benefits and risks of integrating ML in citizen science are explored, and some recommendations are provided on how to enhance the benefits while mitigating the risks of this integration. Finally, because this integration is still in its early phases, we have proposed some potential ideas and challenges that can be implemented in the future to leverage the power of the combination of citizen science and AI, with the key emphasis being on citizen science in this article.

2020

A framework for classifying participant motivation that considers the typology of citizen science projects

Article scientifique ArODES

Maryam Lotfian, Jens Ingensand, Maria Antonia Brovelli

ISPRS International Journal of Geo-Information, 2020, vol. 9, no. 12, article no. 704

Lien vers la publication

Résumé:

Citizen science, the participation of the public in scientific projects, is growing significantly, especially with technological developments in recent years. Volunteers are the heart of citizen science projects; therefore, understanding their motivation and how to sustain their participation is the key to success in any citizen science project. Studies on participants of citizen science projects illustrate that there is an association between participant motivation and the type of contribution to projects. Thus, in this paper, we define a motivational framework, which classifies participant motivation taking into account the typologies of citizen science projects. Within this framework, we also take into account the importance of motivation in initiating and sustaining participation. This framework helps citizen science practitioners to have comprehensive knowledge about potential motivational factors that can be used to recruit participants, as well as sustaining participation in their projects.

Coupling crowd-sourced imagery and visibility modelling to identify landscape preferences at the panorama level

Article scientifique ArODES

Jean-Christophe Foltête, Jens Ingensand, Nicolas Blanc

Landscape and Urban Planning, 2020, vol. 197, article no. 103756

Lien vers la publication

Résumé:

Geotagged photos posted on photo-sharing platforms have recently become a new source of information for analysing landscape preferences and investigating the aesthetic dimension of cultural ecosystem services. Most studies seek to explain photo density by landscape or spatial characteristics that might account for individual preferences and aesthetic criteria favoured by photographers. We focus instead on a “panorama level” of analysis, based on the assumption that photos represent preferential directions within a given panorama. The analysis consists in comparing the content of the photographed views with the content of the antipodal views (i.e. the view at 180°). We apply this method to a set of Flickr photos taken in the Lake Geneva region (Switzerland and France) characterised by landscape descriptors based on a visibility modelling approach. The results of discrete choice modelling at the global level are consistent with several key concepts of landscape preferences (e.g., openness, naturalness). The local analyses conducted at eight photo hotspots confirm the influence of open landscapes while revealing variations for certain other landscape characters depending on the geographical setting. We conclude that the panorama level approach combining geotagged photos and visibility modelling is suitable for identifying the landscape signature of the most appealing views. This signature could be used in further studies to detect the potential of visual amenities.

2019

sMapShot :

Article professionnel ArODES

Georeferenzierung historischer Landschaftsbilder durch Crowdsourcing

Timothée Produit, Jens Ingensand

Geomatik Schweiz, 2019, vol. 9, pp. 273-274

Lien vers la publication

Résumé:

Historische Landschaftsbilder haben einen hohen historischen und geografischen Wert. Sie enthalten genaue Informationen über Landschaftsveränderungen und sind eine wertvolle Informationsquelle für Raum- und Stadtplaner, Geographen und Historiker. Grosse Mengen von historischen Landschaftschaftsbildern sammeln derzeit Staub in vielen Archiven der Schweiz. Des weiteren fehlen effiziente Suchmaschinen in Bildarchiven, welche schon Landschaftsbilder digitalisiert haben. Ein Grund dafür ist, dass die Bilder nicht georeferenziert sind oder nur grob nach einem Ortsnamen, der in den Metadaten des Bildes vorkommt, katalogisiert sind. In unserem Projekt wollen wir das geographische Wissen von freiwilligen Teilnehmern nutzen, um die genaue 3D-Georeferenzierung von historischen Bildern herauszufinden. Diese Georeferenzierung wird dann verwendet, um einen virtuellen Globus der Vergangenheit aufzubauen und um die genauen Ortsnamen zu berechnen, die im Bild sichtbar ist.

Auto-filtering validation in citizen science biodiversity monitoring: a case study

Article scientifique

Lotfian Maryam, Ingensand Jens, Ertz Olivier, Thibaud Chassin, Simon Oulevay

Proceedings of 29th International Cartographic Conference, 2019

Lien vers la publication

Résumé:

Keywords: Citizen Science, data validation, machine learning, biodiversity, automatic filters

Data quality is the primary concern for researchers working on citizen science projects. The collected data by citizen science participants are heterogeneous and therefore must be validated. There are several validation approaches depending on the theme and objective of the citizen science project, but the most common approach is the expert review. While expert validation is essential in citizen science projects, considering it as the only validation approach can be very difficult and complicated for the experts. In addition, volunteers can get demotivated to contribute if they do not receive any feedback regarding their submissions. This project aims at introducing an automatic filtering mechanism for a biodiversity citizen science project. The goals of this project are to first use an available historical database of the local species to filter out the unusual ones, and second to use machine learning and image recognition techniques to verify if the observation image corresponds with the right species type. The submissions that does not successfully pass the automatic filtering will be flagged as unusual and goes through expert review. The objective is on the one hand to simplify validation task by the experts, and on the other hand to increase participants’ motivation by giving them real-time feedback on their submissions. Finally, the flagged observations will be classified as valid, valid but uncommon, and invalid, and the observation outliers (rare species) can be identified for each specific region.

CrowDPLoS

Article scientifique

Building a Crowdsourcing based Disabled Pedestrian Level of Service routing application using Computer Vision and Machine Learning

Sandoz Romain, Ertz Olivier, Ingensand Jens, Blanc Nicolas, Liu Zhan, Rojas Diego, Sokhn Maria, Loubier Jean-Christophe

Consumer Communications and Networking Conference, CCNC IEEE, 2019

Lien vers la publication

Résumé:

The availability of global and scalable tools to assess disabled pedestrian level of service (DPLoS) is a real need, yet still a challenge in today's world. This is due to the lack of tools that can ease the measurement of a level of service adapted to disabled people, and also to the limitation concerns about the availability of information regarding the existing level of service, especially in real time. This paper describes preliminary results to progress on those needs. It also includes a design for a navigation tool that can help a disabled person move around a city by suggesting the most adapted routes according to the person's disabilities. The main topics are how to use advanced computer vision technologies, and how to benefit from the prevalence of handheld devices. Our approach intends to show how crowdsourcing techniques can improve data quality by gathering and combining up-to-date data with valuable field observations.

2018

GeoSQL Journey

Article scientifique

A gamified learning experience to introduce (or demystify) geospatial SQL queries

Sandoz Romain, Ertz Olivier, Ingensand Jens, Composto Sarah Hélène, Divorne Sandrine

OGRS2018, 2018

Lien vers la publication

Résumé:

In a digital world in the making, digital natives develop new learning profiles, interests, and way of working. Simultaneously teachers are facing students with lack of engagement and motivation with quite traditional learning process that has probably to be reframed considering the effects of digital transformation in the education sector. This issue is acute when it comes to complex subject of study, such as SQL geospatial to manipulate the geospatial characteristic of data. Indeed, some common difficulties have been identified by teachers from HEIG-VD university both in Media Engineering and Geomatics fields of study. The user-centered approach aims at creating digital products highly responding to the user’s needs through techniques improving the user experience. Various aspects have to be considered, including emotions. In education, gamification, along with user experience, interface design and usability best practices is one promising approach able to increase the learner's engagement, interest and motivation. It aims to implement game mechanics within non-game context, in order to motivate the learner to accomplish a task and increase the ability to learn new skills. Using a gamification layer within a given context, being digital or not, act as a motivational trigger. It helps giving meaningful, enjoyable and empowering experience. SQL Island is a project from Kaiserslautern University of Technology which illustrates very well a gamified learning experience of the SQL special-purpose programming language. The GeoSQL Journey project goes further, tackling SQL geospatial to learn in a fun way how to manipulate the geospatial characteristic of data. It is a gamified pedagogical application to introduce the students to the practice of SQL geospatial during the first hours or days of the course. Serving as an initiation, it is designed to focus on intrinsic motivation with learning objectives determined and integrated in an engaging game world and narrative.

2025

Evaluating the role of human and environmental factors causing the distribution of invasive plant species in the cantons of Vaud and Neuchâtel in Switzerland

Conférence ArODES

Maryam Lotfian, Simon Walther, Magali Egger, Olivier D'Ancona, Andres Perez-Uribe, Jens Ingensand

AGILE: GIScience Series

PEOPLE@HES-SO Annuaire et Répertoire des compétences

Ingensand Jens

Professeur HES ordinaire, Responsable du groupe thématique de compétence Géomatique

Compétences principales

GIS Science

Geoinformatics

Geospatial data processing

Spatial data infrastructures

Mixed Reality (Virtual & Augmented)

GIS

Geospatial data visualization

Professeur HES ordinaire, Responsable du groupe thématique de compétence Géomatique

PEOPLE@HES-SO
Annuaire et Répertoire des compétences