The Horizon 2020 project, LandSense, is a modern citizen observatory for Land Use & Land Cover (L... more The Horizon 2020 project, LandSense, is a modern citizen observatory for Land Use & Land Cover (LULC) monitoring, that connects citizens with Earth Observation (EO) data to transform current approaches to environmental decision making. Citizen Observatories are community-driven mechanisms to complement existing environmental monitoring systems and can be fostered through EO-based mobile and web applications, allowing citizens to not only play a key role in LULC monitoring, but also to be directly involved in the co-creation of such solutions. Within LandSense, citizens can participate in ongoing demonstration pilots using their own devices (e.g. mobile phones and tablets), through interactive reporting, gaming applications and mapathons. Campaigns in Vienna, Toulouse, Amsterdam, Serbia, Spain and Indonesia address topics such as urban greenspaces, agricultural management and biodiversity/habitat threat monitoring. For example, in the case of Toulouse and Indonesia, hotspots of chang...
Nowadays, crowdsourced GPS data are widely available in a huge amount. A number of people recordi... more Nowadays, crowdsourced GPS data are widely available in a huge amount. A number of people recording them has been increasing gradually, especially during sport and spare time activities. The traces are made openly available and popularized on social networks, blogs, sport and touristic associations’ websites. However, their current use is limited to very basic metric analysis like total time of a trace, average speed, average elevation, etc. The main reasons for that are a high variation of spatial quality from a point to a point composing a trace and a need for referential data for evaluation of their quality. In this paper we present a novel approach for filtering and detection of outliers in crowdsourced GPS traces in order to assess their spatial quality intrinsically and make them more suitable for more advanced uses such as updating referential road network of French Mapping Agency – IGN. In addition, we propose a new definition of an outlier in GPS data, adapted to intrinsic ...
This deliverable outlines the activities across the four demonstration pilots within Demo 1: Cost... more This deliverable outlines the activities across the four demonstration pilots within Demo 1: Cost reduction and data conflation in monitoring land change while highlighting the respective target groups, type of data collected, methods of data collection, approaches towards data conflation as well as in their contribution to citizen engagement. Data from three of the four pilots are already openly accessible and available in Zenodo. In addition, the pilots can be categorized into two main groups: the ones that focus on engagement with the broad public with a rather low-threshold approach (i.e. Vienna, Amsterdam) and the other two pilots (Toulouse and Heidelberg) that focus on an expert-oriented approach with dedicated mapathons. One main topic of this report is data conflation, which was the primary focus of the Toulouse pilot, where data from IGN-FRANCE was commented on and validated by users and - after a quality check – went directly into the databases of IGN-FRANCE and local auth...
The Horizon 2020 project, LandSense, is a modern citizen observatory for Land Use & Land Cover (L... more The Horizon 2020 project, LandSense, is a modern citizen observatory for Land Use & Land Cover (LULC) monitoring, that connects citizens with Earth Observation (EO) data to transform current approaches to environmental decision making. Citizen Observatories are community-driven mechanisms to complement existing environmental monitoring systems and can be fostered through EO-based mobile and web applications, allowing citizens to not only play a key role in LULC monitoring, but also to be directly involved in the co-creation of such solutions. Within LandSense, citizens can participate in ongoing demonstration pilots using their own devices (e.g. mobile phones and tablets), through interactive reporting, gaming applications and mapathons. Campaigns in Vienna, Toulouse, Amsterdam, Serbia, Spain and Indonesia address topics such as urban greenspaces, agricultural management and biodiversity/habitat threat monitoring. For example, in the case of Toulouse and Indonesia, hotspots of chang...
Nowadays, crowdsourced GPS data are widely available in a huge amount. A number of people recordi... more Nowadays, crowdsourced GPS data are widely available in a huge amount. A number of people recording them has been increasing gradually, especially during sport and spare time activities. The traces are made openly available and popularized on social networks, blogs, sport and touristic associations’ websites. However, their current use is limited to very basic metric analysis like total time of a trace, average speed, average elevation, etc. The main reasons for that are a high variation of spatial quality from a point to a point composing a trace and a need for referential data for evaluation of their quality. In this paper we present a novel approach for filtering and detection of outliers in crowdsourced GPS traces in order to assess their spatial quality intrinsically and make them more suitable for more advanced uses such as updating referential road network of French Mapping Agency – IGN. In addition, we propose a new definition of an outlier in GPS data, adapted to intrinsic ...
This deliverable outlines the activities across the four demonstration pilots within Demo 1: Cost... more This deliverable outlines the activities across the four demonstration pilots within Demo 1: Cost reduction and data conflation in monitoring land change while highlighting the respective target groups, type of data collected, methods of data collection, approaches towards data conflation as well as in their contribution to citizen engagement. Data from three of the four pilots are already openly accessible and available in Zenodo. In addition, the pilots can be categorized into two main groups: the ones that focus on engagement with the broad public with a rather low-threshold approach (i.e. Vienna, Amsterdam) and the other two pilots (Toulouse and Heidelberg) that focus on an expert-oriented approach with dedicated mapathons. One main topic of this report is data conflation, which was the primary focus of the Toulouse pilot, where data from IGN-FRANCE was commented on and validated by users and - after a quality check – went directly into the databases of IGN-FRANCE and local auth...
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