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
23.01.2018 09:42
Open Position: Software Developer Geoinformation Technology
, Heidelberg

Open Position: Software Developer (Web) Geoinformation Technology
 (OSM) Heidelberg Institute for Geoinformation Technology (HeiGIT) and GIScience Research Group In the context of research projects at HeiGIT and the GIScience Research Group we offer the position of a Software Developer Geoinformation Technology in Heidelberg (full-time or part-time). Depending on your experience the tasks are related to at least one of [...]

22.01.2018 18:11
ORS NEWS: more frequent updates, new GPX response, snapping tolerance

Updating the ORS routing graph… frequently! We’re very happy to announce two more important core features for our services: Weekly OSM planet.pbf update! md5 checksum included in response! How old is the OpenStreetMap planet file which was used to build the openrouteservice road network? This is a question many of you have asked over the past. To this end, we finally [...]

20.01.2018 09:09
Colloquium Presentation on Context-Aware Movement Analysis (Dr. Mohammad Sharif)

we cordially invite everybody interested to our next open GIScience colloquium talk Context-Aware Movement Analysis: An Application to Similarity Search of Trajectories Dr. Mohammad Sharif Department of Geographic Information Systems, Faculty of Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran Time and date: Mon, January 22, 2:15 pm Venue: INF 348, Room 015, Department of Geography, Heidelberg University Studying movement [...]

19.01.2018 18:45
OSMlanduse.org + Remote Sensing = New conterminous land use data set for Germany released - filling gaps in OSM through machine learning

Land use data created by humans (OSM) was fused with satellite remote sensing data, resulting in a conterminous land use data set without gaps. The first version is now available for all Germany at OSMlanduse.org. When human input (OSM data) was absent a machine generated missing land use information learning from human inputs and using remote [...]

19.01.2018 09:35
Love Maths? - GIScience HD visits “MatheLiebe” Exhibition Heidelberg

This week the GIScience research group Heidelberg and HeiGIT visited the exhibition “MatheLiebe” in Heidelberg. The exhibition demonstrates that: • Mathematics is understandable not only for scientists, but for everyone, • that mathematics is interesting and useful and full of exciting surprises, • and that mathematics is important for technological progress and for our everyday lives. We very much [...]

17.01.2018 18:11
New OpenRouteService Matrix API to speed up batch routing calculations

Admittedly, the OpenRouteService Matrix API is anything but new. Already implemented in mid 2017, it’s been soaring to high demand by numerous clients across the globe ever since. Finally we want to give it the credit it deserves. The ORS Matrix API is the precursor to solve important problems like the traveling salesman problem and even more complex [...]

16.01.2018 17:59
Context-Based Classification of Urban Blocks According to Their Built-up Structure

A recently published paper presents an approach for classifying urban blocks according to their built-up structure based on high-resolution spaceborne InSAR images. Most attributes considered in the classification describe the geometric structure and spatial disposition of the polygon and line features extracted from each block. The feature extraction is carried out on two intensity images [...]

15.01.2018 16:30
Colloquium Presentation: Datacubes: A Step Towards Analysis-Ready Big Data (Prof. Peter Baumann)

we cordially invite everybody interested to our next open GIScience colloquium talk! Prof. Dr. Peter Baumann / Computer Science, Jacobs University, Bremen Friday, January 19 2018, 10.15 am, INF 348, Room 013, Heidelberg University, Institute for Geography Datacubes form an enabling paradigm [...]

13.01.2018 17:11
Zwei besondere öffentliche Vorlesungen zur Geodatenerfassung

Liebe Studierende aller Semester und Studiengänge, ich möchte Sie herzlich zu zwei besonderen Veranstaltungen im Rahmen der Vorlesung “Geodatenerfassung” in die Geographie einladen, die Sie sicher interessieren könnten: Montag, 22.01.2018 um 9.15 im gHS (INF 230, COS): Spezialvorlesung: Amtliche Geodaten bei der Stadt Heidelberg: Gewinnung, Nutzung und Vorhaltung. Hubert Zimmerer, Leiter des GIS der Stadt Heidelberg, berichtet [...]

12.01.2018 15:00
New Real-time OSM service provides custom up-to-date Extracts of OpenStreetMap Data

Disaster events damage human infrastructure and its surroundings within seconds. To support humanitarian logistics, the Disaster OpenRouteService needs the latest, most accurate data available. While crowd-sourcing OSM updates during disasters proved very successful, there is not yet a convenient way of automatically accessing up-to-date OSM data for specific regions of interest. Addressing this need, HeiGIT [...]

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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