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
22.03.2019 11:06
Preview: Spatial Joins using the OpenStreetMap History Database OSHDB

Max is two and loves spending Monday afternoons with his Dad at the playground. Finding a suitable playground however isn’t easy, since a few criteria must be met: there should be a bench and some trees nearby to get shelter from the sun and an ice cream shop within the neighbourhood. Using the new spatial [...]

20.03.2019 21:13
Call for State of the Map 2019 academic track is open

The call for State of the Map 2019 (SOTM) academic track is now open until: 10th May 2019. Read more: https://2019.stateofthemap.org/calls/academic/ tl;dr Please read the submission guidelines and submit your presentation proposal before May 10 to the submission form. This year’s State of the Map conference in Heidelberg will again feature a full day Academic Track session. Following on from the [...]

18.03.2019 09:36
GIScience at Kinderuni

A GIScience Heidelberg team (Melanie Eckle, Katharina Przybill, Vivien Zahs, Martin Hilljegerdes and Sven Lautenbach) takes part in the Kinderuni 2019 coming Saturday. Our aim is to introduce giscience methods in a playful and hands-on way to the participating kids. We will introduce remote mapping, 3d pointclouds and much more in a scavenger hunt - [...]

15.03.2019 14:03
openrouteservice Io

openrouteservice Io is here! The openrouteservice from HeiGIT has just had its latest update, and we want to introduce you to Io (version 5.0). This new version brings something that has been a while in the making and will make things a lot easier when it comes to requesting information from the openrouteservice - a new [...]

13.03.2019 16:52
Global analyses are ohsome

We, the Big Spatial Data Analytics Group at HeiGIT have ohsome news to share: From now on, you can send your requests to our global ohsome API instance. So far, we’ve had a public instance for Nepal and Germany, but now you can analyse OSM’s history globally. Additionally to the API, we also have a global dashboard instance. You choose any country, [...]

11.03.2019 18:01
Neues mFUND Project: Temporal Access Restrictions for Dynamic Ultra-Flexible Routing - TARDUR

Problemstellung Bis dato wird eine wichtige Eigenschaft infrastruktureller Straßennetzdaten wie OSM in noch keiner frei verfügbaren Routing Anwendung voll ausgenutzt: zeitliche Restriktionen auf Straßen und Wegen, wie etwa tageszeit- oder saisonale Fahrbahnbeschränkungen. Dies ist unter anderem für Transport-Logistik-Firmen für ein effizientes Flottenmanagement (z.B. zeitlich variable Fahrverbote für Lastkraftwagen) von Bedeutung, aber auch im Hinblick auf eine Zukunft [...]

10.03.2019 15:55
The influence of the OSM mappers’ cultural backgrounds on their mapping behavior

In order to analyze the quality of OSM data, a study at GIScience Heidelberg investigated the influence of the mappers’ cultural backgrounds on their mapping behavior and hence questioned the general validity of semantic (street) classifications in OSM. Nepal was hit by a series of earthquakes in April 2015. The OSM community quickly reacted by organizing [...]

09.03.2019 17:50
Brand new 3DGeo logo!

The 3DGeo research group has now a brand new 3DGeo logo! The logo is one result of our recent retreat to Lochau. And here it is: The creative “o” represents the process from raw 3D data via various data models to real-world phenomena - or vice versa. Isn’t that cool? Check out the logo on [...]

07.03.2019 13:45
Analysing semantic associations in VGI data

Volunteered Geographic Information (VGI) such as OpenStreetMap (OSM) can be a rich resource for many applications. Therefor VGI-projects have to mitigate between the requirements of the the volunteers and the machines. On the one hand, the data format should be simple and general in order to make contributing to the project easy for the volunteers. [...]

07.03.2019 09:19
Empower Humanitarian Mapping with Deep Neural Networks to Detect Human Settlements

Recently, earth observation by satellites has shown great capability in supporting a range of challenges such as disaster assessment, agriculture monitoring, and humanitarian mapping. MapSwipe, as a humanitarian mapping app, provides a crowdsourcing platform to collect volunteered geographical information (VGI), in order to generate the demanding base map of human settlements for better planning of [...]

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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