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
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
The 3DGeo group is currently testing their new UAV-borne LiDAR (ULS) system. The integrated system consists of a DJI Matrice 600 copter, a RIEGL miniVUX-1 UAV laser scanner and is complemented by an inertial measurement unit and a realtime kinematics GNSS. Combining the different components in one system allows for high-accuracy (cm) acquisition of 3D [...]
This year, Sabrina Marx and Martin Hilljegerdes were teaching the block course “GIS 2” at the Heidelberg Center for Latin America (HCLA) in Santiago de Chile. The course is part of the international Master program “Governance of Risks and Resources”, offered by Heidelberg University in cooperation with Pontificia Universidad Católica de Chile and Universidad de [...]
19th-22nd of May, the 16th Information Systems for Crisis Response and Management (ISCRAM) conference is taking place in Valencia. Likewise to previous years, the GIScience Research Group/HeiGIT are taking part and supporting with several contributions. Martin Hilljegerdes will present a paper, based on his Master Thesis, focusing on “Evaluating the effects of consecutive hurricane hits on evacuation [...]
On 14th and 15th May, our 3DGeo group members Bernhard Höfle and Lukas Winiwarter were co-organizing and participating in the 4th colloquium for PhD students working on the topic of Deep Learning and its applications in Photogrammetry, Remote Sensing and Geoinformation Processing of the Deutsche Geodätische Kommission (DGK) and the Deutsche Gesellschaft für Photogrammetrie und [...]
Letzte Woche fand das zweite große Konsortiumstreffen im Projekt „meinGrün“ in Heidelberg statt. Zusammen mit unseren Projektpartnern vom IÖR , DLR , ISB AG , dem Institut für Kartographie der TU Dresden , Terra Concordia (mundraub.org) und Urbanista haben wir zwei Tage lang an der Weiterentwicklung unserer App gearbeitet, welche es Bürgerinnen in [...]
We cordially invite everybody interested to our next open GIScience colloquium talk The speaker is Dr. Massimiliano Pittore GFZ German Research Centre for Geosciences - Helmholz Centre Potsdam When: Monday 20.05.2019, 2:15 pm Where: INF 348, room 015 (Institute of Geography, Heidelberg University) GIScience for GEOscience: challenges and opportunities in a risky world The assessment of risk arising from the increasingly complex and [...]
Introduction Exploring how OpenStreetMap data developed over time across different administrative untis might reveal interesting insights into the self organizing approach of the OSM communities and can potentially be used to derive intrinsic data quality indicators. It might even be possible to estimate the completeness of OSM for a specific key-value combination as done by Barrington-Leigh [...]
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 of artificial scan data [...]
Mitmach-Exponate direkt aus der Forschung geben in der Ausstellung auf der MS Wissenschaft 2019 Einblicke in die Entwicklung und Anwendung Künstlicher Intelligenzen (KI). Die MS Wissenschaft startet ihre Tour am 16. Mai 2019 in Berlin und besucht Ende August auch Heidelberg. Das Exponat „Mensch Maschine - Forschung im Team“ zeigt wie Trainingsdaten für KI-Algorithmen erstellt werden [...]
Besides dealing with a snake, making quality assessments, or generating comparable statistics, one needs to know how to handle the whole functionality provided by the ohsome API to really become ohsome. And to achieve exactly that, this blog presents the last missing entry point to the API from the current toolkit, namely the /users resource. With its help you can receive aggregated [...]
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
