Positional Accuracy Assessment of the Openstreetmap Buildings Layer Through Automatic Homologous Pairs Detection: The Method and a Case Study

Brovelli, M. A.; Minghini, Marco; Molinari, M. E.; Zamboni, Giorgio

doi:10.5194/isprsarchives-xli-b2-615-2016

Cited by 24 publications

(19 citation statements)

References 4 publications

(6 reference statements)

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“…For example, it was found that completeness levels vary widely between different cities, e.g., between 12% and 48% for selected parts of Germany [19], and between 30% and 75% for three cities in the United Kingdom [20]. Completeness evaluation and positional accuracy assessment was also performed for Milan, Italy [21], which revealed a decreasing trend in completeness from the city center towards the outskirts. Positional accuracy was found to be similar across the city, probably due the constant accuracy of the underlying imagery from which buildings were traced.…”

Section: Introductionmentioning

confidence: 99%

OSM Data Import as an Outreach Tool to Trigger Community Growth? A Case Study in Miami

Juhász

Hochmair

2018

IJGI

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This paper presents the results of a study that explored if and how an OpenStreetMap (OSM) data import task can contribute to OSM community growth. Different outreach techniques were used to introduce a building import task to three targeted OSM user groups. First, existing OSM members were contacted and asked to join the data import project. Second, several local community events were organized with Maptime Miami to engage local mappers in OSM contribution activities. Third, the import task was introduced as an extra credit assignment in two GIS courses at the University of Florida. The paper analyzes spatio-temporal user contributions of these target groups to assess the effectiveness of the different outreach techniques for recruitment and retention of OSM contributors. Results suggest that the type of prospective users that were contacted through our outreach efforts, and their different motivations play a major role in their editing activity. Results also revealed differences in editing patterns between newly recruited users and already established mappers. More specifically, long-term engagement of newly registered OSM mappers did not succeed, whereas already established contributors continued to import and improve data. In general, we found that an OSM data import project can add valuable data to the map, but also that encouraging long-term engagement of new users, whether it be within the academic environment or outside, proved to be challenging.

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Section: Introductionmentioning

confidence: 99%

OSM Data Import as an Outreach Tool to Trigger Community Growth? A Case Study in Miami

Juhász

Hochmair

2018

IJGI

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“…Finally, Brovelli et al [32] assessed the completeness and the positional accuracy in Milan (Italy) using, for the former, the area unit based approach with the computation of uncertainties already seen in other studies, and, for the latter, a new method based on the automatic matching of the points of the footprints. The work presented here is a step forward in the definition of this second approach, which aims at contributing to the debate about positional accuracy and completeness of OSM, a debate that is still open.…”

Section: Related Workmentioning

confidence: 99%

A New Method for the Assessment of Spatial Accuracy and Completeness of OpenStreetMap Building Footprints

Brovelli

Zamboni

2018

IJGI

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OpenStreetMap (OSM) is currently the largest openly licensed collection of geospatial data, widely used in many projects as an alternative to or integrated with authoritative data. One of the main criticisms against this dataset is that, being a collaborative product created mainly by citizens without formal qualifications, its quality has not been assessed and therefore its usage can be questioned for some applications. This paper provides a map matching method to check the spatial accuracy of the building footprint layer, based on a comparison with a reference dataset. Moreover, from the map matching and a similarity check, buildings can be detected and therefore an index of completeness can also be computed. This process has been applied in Lombardy, a region in Northern Italy, covering an area of 23,900 km 2 and comprising respectively about 1 million buildings in OSM and 2.8 million buildings in the authoritative dataset. The results of the comparison show that the positional accuracy of the OSM buildings is at least compatible with the quality of the reference dataset at the scale of 1:5000 since the average deviation, with respect to the authoritative map, is below the expected tolerance of 3 m. The analysis of completeness, given in terms of the number of buildings appearing in the authoritative dataset and not present in OSM, shows an average percentage in the whole region equal to 57%. However, worth noting that the opposite, namely the number of buildings in OSM and not in the reference dataset, is not zero, but corresponds to 9%. The OSM building map can therefore be considered to be a valid base map for direct use (territorial frameworks, map navigation, urban analysis, etc.) and for derived use (background for the production of thematic maps) in all those cases where an accuracy corresponding to 1:5000 is required. Moreover it could be used for integrating the authoritative map at this scale (or smaller) where it is not complete and a rigorous quality certification in terms of metric precision is not required.

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“…The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W8, 2018FOSS4G 2018-Academic Track, 29-31 August 2018, Dar es Salaam, Tanzania a higher average number of different contributors occurs when moving towards the centre. In this case, the maximum value is equal to 17.3.…”

Section: Aggregated Analysismentioning

confidence: 99%

“…Graser et al, 2014;Brovelli et al, 2016a), while less attention was paid to other thematic layers such as buildings (see e.g. Hecht et al, 2013;Fan et al, 2014;Brovelli et al, 2016b), land use (see e.g. Jokar Arsanjani et al, 2015b;Fonte et al, 2017) and points of interest (see e.g.…”

Section: Openstreetmap Quality Assessmentmentioning

confidence: 99%

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An Open Source Approach for the Intrinsic Assessment of the Temporal Accuracy, Up-to-Dateness and Lineage of Openstreetmap

Minghini

Brovelli

Francesco

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:OpenStreetMap (OSM) is the most popular crowdsourced geographic information project. The main factor that still limits the practical use of OSM is the lack of quality assurance. OSM quality assessment is thus a well-studied topic in literature, with most of the studies evaluating the quality by comparison against reference datasets. In contrast to these extrinsic approaches, OSM intrinsic assessment evaluates the quality by only analysing OSM itself. This study contributes to OSM intrinsic assessment by introducing an open source procedure to evaluate the temporal accuracy, up-to-dateness and lineage of OSM. Two workflows are presented: the first allows accessing the historical evolution of single OSM objects through an interactive web application, while the second aggregates and stores results on a user-defined grid to enable further GIS processing. The methodology is applied on the OSM nodes in the city of Dar es Salaam, Tanzania, by computing the following measures on the cells of an hexagonal grid: total number of nodes, average date of creation and last edit of nodes, average update frequency of nodes, average number of versions of nodes, average and total number of different contributors on nodes. Results highlight the mapping dynamics driven by the Dar Ramani Huria project, focused on increasing flood preparedness and resilience. When moving from the peripheral areas to the city centre, OSM is characterized by a progressively higher density of nodes, created earlier in time and updated by a higher number of contributors, which are all indexes of a general higher data quality.

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Positional Accuracy Assessment of the Openstreetmap Buildings Layer Through Automatic Homologous Pairs Detection: The Method and a Case Study

Cited by 24 publications

References 4 publications

OSM Data Import as an Outreach Tool to Trigger Community Growth? A Case Study in Miami

OSM Data Import as an Outreach Tool to Trigger Community Growth? A Case Study in Miami

A New Method for the Assessment of Spatial Accuracy and Completeness of OpenStreetMap Building Footprints

An Open Source Approach for the Intrinsic Assessment of the Temporal Accuracy, Up-to-Dateness and Lineage of Openstreetmap

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