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
18.02.2020 18:39
HELIOS used in a study on hetero-integration which enables fast switching time-of-flight sensors for light detection and ranging

The Heidelberg LiDAR Operations Simulator (HELIOS) is an open source laser scanning simulation framework for interactive simulation and visualization of terrestrial, mobile and airborne laser scanning surveys. It can be flexibly used for teaching and training of laser scanning, development of new scanner hardware and scanning methods, or generation [...]

14.02.2020 15:59
Multitemporal Terrestrial Laser Scanning Point Clouds for Thaw Subsidence Observation

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12.02.2020 09:44
3DGeo licensed drone pilots

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07.02.2020 08:15
Colloquium Talk about healthsites.io: Building a baseline of health facility data in OpenStreetMap by M. Herringer

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05.02.2020 07:10
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03.02.2020 18:13
GIScience Contributions to the 2019 State of the Map Academic Track proceedings

Recently the SOTM 2019 Heidelberg Academic Track Proceedings have been published. GIScience Research Group Heidelberg and HeiGIT contributed several talks and posters. Below you can find an overview. Contact us if you are interested in further details on ongoing research. Klonner, Hartmann, Djami, Zipf, A. (2019). “Ohsome” OpenStreetMap Data Evaluation: Fitness of Field Papers for Participatory Mapping [...]

02.02.2020 21:58
‘Place’ in the GIScience Community – an indicative and preliminary Systematic Literature Review

The concept of place has recently gained importance in geographical information science (GIScience). One reason for this is the emergence of user-generated geographic information, which partially represents subjective everyday geographical encounters. No consensus, however, on how to deal with place in GIScience has yet been reached. A recently published paper presents a systematic literature review [...]

01.02.2020 17:11
Learning salience models of indoor landmarks

In landmark-based way-finding, determining the most salient landmark from several candidates at decision points is challenging. To overcome this problem, current approaches usually rely on a linear model to measure the salience of landmarks. However, linear models are not always able to establish an accurate quantitative relationship between the attributes of a landmark and its [...]

29.01.2020 10:04
ohsome presentation in Malta at the 3rd International Workshop on Spatial Data Quality

Around 55 participants gathered in Malta for the 3rd International Workshop on Spatial Data Quality 2020 from 28th to 29th of January. Among national mapping agencies, software providers and standardization organizations, HeiGIT had the opportunity to present its ohsome - OSM history analytics platform for analyzing spatial data quality by looking at the temporal development [...]

27.01.2020 15:53
Mapping Rohingya Refugee Camps in Bangladesh – An Analysis Using the OSHDB API

Humanitarian mapping activations show increasing numbers of contribution. This blog post illustrates the specific potential of the Open Source OSHDB API [1] for detailed analyses of such activations by means of a case study. The examined area is Cox’s Bazar in Southeast Bangladesh, where almost 1 million Rohingya refugees fled to from Myanmar in [...]

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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