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)

01.12.2021 14:37
Nina Krašovec wins Nahtigal Award 2021

This week on 29 November, it was announced that our team member Nina Krašovec received Nahtigal Award from the Faculty of Arts of the University of Ljubljana (UL) for her master’s thesis “Detection of standing dead trees using leaf-on and leaf-off UAV-borne laser scanning point cloud data in mixed forests”. The research was conducted under [...]

29.11.2021 15:31
HGG-Vortrag Di 30.11.: Hangrutschungsmodellierung unter dem Einfluss von Klima- und Landnutzungswandel mit Data-Science-Methoden, Prof. Brenning

Der nächste Vortrag der Heidelberger Geographischen Gesellschaft HGG findet am Dienstag, 02. November 2021, 19:15 Uhr ONLINE statt: Dienstag, 30. November 2021, 19:15 Uhr Prof. Dr. Alexander Brenning (Universität Jena) Hangrutschungsmodellierung unter dem Einfluss von Klima- und Landnutzungswandel mit Data-Science-Methoden Regionalskalige empirische Gefährdungsanalysen für Naturgefahren nutzen Innovationen der Datenwissenschaften, um gefährdete Reliefeinheiten präziser und effizienter zu identifizieren. Im Kontext von [...]

25.11.2021 19:58
HeiGIT and GIScience at Virtual Conference of the Red Cross Red Crescent Urban Collaboration Platform 2021

On Friday, November 26th, Dr. Carolin Klonner (GIScience Research Group) and Melanie Eckle-Elze (HeiGIT) will be supporting the Urban Context Unit of German Red Cross (GRC) in the “Data and Digitalisation in Urban Humanitarian Action” session at the Virtual Conference of the Red Cross Red Crescent Urban Collaboration Platform 2021. The focus of the session is [...]

25.11.2021 07:00
Innsbruck Summer School of Alpine Research 2022 - Registration now open

Registration for our Innsbruck Summer School of Alpine Research 2022 is now open (until 15 January 2022). If you want to learn innovative practical and methodological skills to characterize complex terrain and object features using close-range and remote sensing techniques - apply now! The Summer School in the Ötztal Alps in Austria will be [...]

24.11.2021 09:44
How to become ohsome part 9 - More ways to access the ohsome API

At long last, welcome back to a new blog post of the “How to become ohsome“-series. As it’s been quite a while since you got an introduction to how to access the ohsome API, we would like to pick up this topic one more time this month. The former post with different ways to access the ohsome API [...]

23.11.2021 14:35
SocialMedia2Traffic bei Fachaustausch Geoinformation “Smarte Region Rhein-Neckar”

Diesen Donnerstag, 25.11.2021, werden wir unser Kooperationsprojekt SocialMedia2Traffic beim Fachaustausch Geoinformation zum Thema “Smarte Region Rhein-Neckar” vorstellen. Aktuelle Verkehrsinformationen sind eine Voraussetzung für Navigationslösungen, um die beste Route und genaue Reisezeiten zu ermitteln. Diese sind momentan jedoch nicht offen verfügbar. Im Projekt SocialMedia2Traffic entwickeln eine Methode, um Verkehrsinformation aus georeferenzierten Social-Media-Daten zu extrahieren [...]

22.11.2021 17:05
New Project: GeCO: Generating high-resolution CO2 maps by Machine Learning-based geodata fusion and atmospheric transport modelling

Recently a new project has been starting in the context of Climate Change Action research: GeCO: Generating high-resolution CO2 maps by Machine Learning-based geodata fusion and atmospheric transport modelling The spatiotemporal distribution of greenhouse gases and their sources on Earth has so far been considered mainly at relatively coarse resolutions. There is a lack of sound [...]

20.11.2021 09:00
HeiGIT participation at HOT Summit 2021

Also this year HeiGIT is participating at the HOT summit with the topic of “The Evolution of Local Humanitarian Open Mapping Ecosystems: Understanding Community, Collaboration, and Contribution”. Again the conference will be virtual and is organized in three blocks across several time zones to allow global participation. Benjamin Herfort from HeiGIT will give [...]

18.11.2021 16:21
Successful PhD defense of Katharina Anders

On Tuesday, 16 November 2021, Dr Katharina Anders defended her PhD research with great success. In her dissertation, Katharina developed methods on 4D change analysis to extract natural surface changes from near-continuous LiDAR time series of dynamic landscapes. Congratulations, Katharina, for this excellent research - we are very proud to have you in our team and wish [...]

16.11.2021 11:10
Stellenangebot vom DRK Generalsekretariat Berlin zur Unterstützung der HeiGIT Kooperation

Sie haben Erfahrung in den Bereichen Geoinformatik und Open Data und würden gerne dazu beitragen, dass Menschen in Deutschland und weltweit Hilfe erhalten? Sie würden gerne als Teil des größten humanitären Netzwerks der Welt helfen, dessen zukünftige Ausrichtung in diesen Bereichen mitzugestalten? Dann kommt diese Stellenausschreibung genau richtig: Das Generalsekretariat des Deutschen Roten Kreuz 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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Letzte Änderung: 28.05.2019
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