Research Project

LandSense: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring


The overall aim of the LandSense project is to build an innovative citizen observatory in the field of LandUse LandCover(LULC), which collects data both actively (through citizens) and passively (from authoritative, open access, and other citizen-based initiatives) and integrates them into an open platform that provides valuable quality-assured in-situ data for SMEs, larger businesses, government agencies, NGOs and researchers. There is currently no single marketplace that brings together the demand for such in-situ data (i.e. ground-based data collection coupled with interpretation of remotely-sensed data) for LULC monitoring, and could potentially attract a vast community of users across numerous disciplines and sectors. LandSense will also provide multiple pathways for citizen empowerment that go beyond simple data collection by providing a range of engagement tools that will allow the voices of citizens to be heard.

The taks of GIScience Heidelberg will mostly deal with realizing the following objectives
  • To implement the LandSense Citizen Observatory and its services in demonstration cases such as cost reduction and data conflation in monitoring land change
  • To acquire and consolidate feedback from citizens and user-groups for the demonstration cases
  • To evaluate (lessons learned and guidelines) on the uptake and engagement of citizens and determine upscaling potential of the demonstration cases
  • To assess the quality control/assurance methods available for the demonstration cases,
  • To source and process authoritative data for each demonstration case for validation purposes including authoritative ground reference data against which citizen-contributed data can be compared
  • To source and process additional, complementary crowdsourced data streams from citizens (e.g. Flickr, OpenStreetMap) using openly available data mining methods, which could benefit each demonstration case
  • To adapt and advance the COBWEB quality assurance service and quality workflows to fit the requirements of the demonstration cases
  • To apply and iteratively refine the LandSense quality control and assurance service in order to validate citizen contributed data arising from the three demonstration cases
  • To establish operational workflows for integrating data contributed by citizens into authoritative systems
  • To establish protocols and benchmarking standards for quality assurance of citizen-contributed data in the area of LULC monitoring

EU Horizon 2020 Citizen Observatory Call

  • Project Duration 2016-2020

OSMlanduse.org Our WebService providing LULC information derived from OpenStreetMap. (global)
OSMatrix Our WebService providing quality realted Metadata maps for OpenStreetMap (Europe only)

13.11.2018 17:36
A place for place, CFP for TGIS Special Issue on Modelling and Analysing Platial Representations

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12.11.2018 16:58
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Within the European FP7 project “CAP4Access“, we studied the usage of crowdsourced geographic information (and more specifically OpenStreetMap data) for improving accessibility in selected European regions. This 3 year research study led to several implementations and extensions of Open Source GI solutions with respect to OSM data quality assessment as well as wheelchair routing and [...]

08.11.2018 14:16
GeOnG Conference 2018: Workshop Materials and Slides

After the successful GeOnG conference 2018 in chambery we want to thank the organizers and all participants. We contributed in several ways, as already highlighed in our previous blogpost. Now, we also want to share our slides and workshop material with everyone interested. Round table discussion: Machine Learning, AI & satellite imagery: what impact on humanitarian mapping: [...]

07.11.2018 13:15
Generating Customized Pleasant Pedestrian Routes Based on OpenStreetMap Data

In a newly published open access paper, we present a system that generates customized pedestrian routes entirely based on data from OpenStreetMap (OSM). The system enables users to define to what extent they would like the route to have green areas (e.g., parks, squares, trees), social places (e.g., cafes, restaurants, shops) and quieter streets (i.e., [...]

05.11.2018 13:59
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Das Wintersemester hat begonnen und damit auch die Vortragsreihe der Heidelberg Geographischen Gesellschaft HGG. Wir möchten Sie herzlich einladen an den Vorträgen der HGG teilzunehmen. Das Rahmenthema dieses Semester lautet: Reisen für die Wissenschaft Expeditionen, Exkursionen und Explorationen Die Vorträge dieses Semester: ”And Germany pays you for asking us these questions?” Humangeograhische Reflexionen über das ethnologische Fremdverstehen Prof. Dr. [...]

02.11.2018 14:20
Linking GIScience and spatial epidemiology at the 10th Summer School for Spatial epidemiology, social media, and urban health

HeiGIT/GIScience member Sven Lautenbach acted both as part of the boards of directors and as an instructor at the 10th Summer School for Spatial epidemiology, social media, and urban health that took place at the Humboldt University in Bielefeld. This year’s summer school aimed at the use of social media to capture spatial patterns in [...]

02.11.2018 13:42
HeiGIT at Sustainable Development in Action

HeiGIT ran a workshop on geodata for sustainable development at the Sustainable Development in Action conference organized by the Heidelberg Center for Environment and Momentum Novum at Heidelberg University. Our workshop provided an overview about the importance of geodata to tackle the sustainable development goals (SDG) of the United Nations, highlighted the importance of bridging [...]

31.10.2018 14:17
On the Way to Platial Analysis: Can Geosocial Media Provide the Necessary Impetus? - Proceedings of the First Workshop on Platial Analysis (PLATIAL’18)

The proceedings of the PLATIAL’18 workshop (organized by R Westerholt, F-B Mocnik, and A Zipf) have been published: https://doi.org/10.5281/zenodo.1475269 The concept of “place” is about to become one of the major research themes in the discipline of geographical information science (GIScience), as well as in adjoining fields. Briefly put, while locations provide objective references (e.g., point coordinates), [...]

30.10.2018 11:28
New method for drainage ditch extraction from airborne LiDAR point clouds

In our most recent 3DGeo publication, colleagues from KU Leuven together with us developed a new method to extract drainage ditches from LiDAR point clouds in a fully automatic process. Ditches are often absent in hydrographic geodatasets and their mapping would benefit from a cost and labor effective alternative to field surveys. We propose [...]

29.10.2018 15:45
Mit offenen Daten Grünflächen in Städten neu entdecken – Projekt „meinGrün“ startet

Im Projekt „meinGrün“ entwickeln Partner aus Wissenschaft, kommunaler Praxis und Wirtschaft unter Leitung des Leibniz-Instituts für ökologische Raumentwicklung (IÖR) die Grundlagen für neuartige, interaktive Informationsangebote. Ziel ist es, Grünflächen in Städten genauer zu beschreiben und zu zeigen, wie man sie gut erreichen kann. Nutzer der Grünflächen können diese bewerten und Stadtverwaltungen erhalten Hinweise auf Verbesserungspotenzial. Das Projekt wird vom Bundesministerium für Verkehr und digitale Infrastruktur (BMVI) im Rahmen der Forschungsinitiative mFUND gefördert, die sich mit digitalen datenbasierten Anwendungen für die Mobilität 4.0 befasst.

Project Partner

International Institute for Applied Systems Analysis*; Austria
Birdlife International; UK
Sinergise; Slovenia
University of Nottingham; UK
InoSens doo; Serbia
GeoVille Information Systems GmbH; Austria
Environment Agency Austria; Austria
Institut National de l’Information Géographique et Forestière; France
European Citizen Science Association; Germany
StZ Felis; Germany
University of Heidelberg, GIScience Research Group; Germany
Wageningen University; The Netherlands
VU University Amsterdam; The Netherlands
Joint Research Centre; Italy
Secure Dimensions Germany
Friends of the Earth/Global 2000; Austria
City of Heidelberg; Germany
KriticalMass Ltd.; UK

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