Universitätssiegel

Research Project

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

LandSense

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
Funding

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)

News
24.05.2018 23:40
BuFaTa Mapathon HD – Spreading the Word about OpenStreetMap and Missing Maps

Last weekend Heidelberg was the host city of this semesters geography “BuFaTa” (Bundesfachschaftentagung). During this four day event student associations from Germany, Austria and Switzerland and their members came together to discuss, learn and spend time together. The event was organized by an excellent student team from Heidelberg. The disastermappers Heidelberg contributed to the BuFaTa by organising a Missing [...]

23.05.2018 22:21
Presentation on VGI and society: inequalities, exclusions and power asymmetries of user generated geoinformation

This morning Georg Glasze and Thomas Bittner from Erlangen University gave a very interesting keynote talk on “VGI and society: inequalities, exclusions and power asymmetries of user generated geoinformation”. It was well received and lead to a lively discussion among the participants of the DFG SPP VGIscience Collaborative Research Week that is taking place this week [...]

18.05.2018 10:24
Ohsome - a high level architectual overview of the OSM History Analytics platform

Recently we introduced the ohsome platform for OSM History Analytics. Now we want to give you a high-level overview of the ohsome platform and the components it consists of. Ohsome API The ohsome platform is based on a three-layers API architecture, where the flexibility, as well as the usage-complexity are increasing going from the top to [...]

16.05.2018 19:14
Identifying the Effects of Mobility Domains on Volunteered Geographical Information: Towards an Analytical Approach

The production of Volunteered Geographic Information (VGI) is a type of human behavior which emerges via direct and indirect interactions with the physical environments described by these data. The nature of these interactions and the extent to which they rely on physical presence in the mapped area may affect the quality of the resulting digital [...]

15.05.2018 23:02
VGI ALIVE workshop Draft Agenda is available - Join us @AGILE in Lund, Sweden

The organizers are happy to announce that list of accepted papers at the VGI ALIVE workshop are available. Therefore a prelimnary draft agenda of the workshop at AGILE 2018 in Lund has been posted. Looks like an interesting and promising programme! Stay tuned for further updates and join us for discussions and collaborative sessions in [...]

12.05.2018 10:18
Associating OpenStreetMap tags to CORINE land-cover classes using text and semantic similarity measures

With the aim of rapidly estimating the updated state of the CORINE land-cover map at the frequency with which the OpenStreetMap (OSM) dataset is edited and extended, we propose an approach for automatically associating widely used OSM tags to Level 1 and Level 2 CORINE land-cover classes. This association is probabilistic and is undertaken based [...]

10.05.2018 20:55
Enhancing Crowdsourced Classification on Human Settlements Utilizing Logistic Regression Aggregation and Intrinsic Context Factors

Among semi-automated methods and pre-processed data products, crowdsourcing is another tool which can help to collect information on human settlements and complement existing data, yet it’s accuracy is debated. Whereas the potential of crowdsourced datasets for training of machine learning algorithms has been explored recently, only few work has been done towards utilizing machine learning [...]

08.05.2018 22:14
Routing for Accessibility - new Project with City of Heidelberg

Accessibility is a widely discussed topic and there are a growing number of efforts to sensitise European cities and municipalities to the topic. A focus of such efforts is the facilitation of easy access to public places for everyone, including those with walking disabilities, balance and visual disorders, as well as people requiring the use [...]

06.05.2018 21:31
Overview GIScience Colloquium Heidelberg SoSe 2018

wie in jedem Semester findet auch im Sommersemester 2018 das Geoinformatik-Kolloquium am Geographischen Institut statt. Hierzu möchten wir Sie herzlich einladen! Internationale Gäste berichten aus ihren interessanten Forschungsprojekten. Nutzen Sie die Gelegenheit, sich über die neuesten Entwicklungen in der Geoinformatik und in angrenzenden Forschungsfeldern zu informieren und mit Forschern aus aller Welt zu diskutieren! Das Geoinformatik-Kolloquium findet [...]

05.05.2018 21:54
disastermappers heidelberg OSM Mapathons this semester

as mentioned earlier this Monday will see the first of our disastermappers heidelberg Mapathons this summer semester. But this will definitely not be your only chance to participate in some collaborative OSM mapping or learning how to work with OSM data this semester at Heidelberg University. So here is the current schedule. This should help [...]

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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