Open land cover from OpenStreetMap and remote sensing

Schultz, Michael; Voss, Janek; Auer, Michael; Carter, Sarah; Zipf, Alexander

doi:10.1016/j.jag.2017.07.014

Cited by 105 publications

(80 citation statements)

References 38 publications

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“…The use of OSM extracted LULC data to validate LULC maps was also tested with promising results, as for Urban Atlas level 1 nomenclature the accuracy indices obtained using OSM data (where available) to obtain the reference class were not very different from the ones obtained when the reference class was always obtained by photo interpretation [7]. Shultz et al [29] produced a global Land Cover product using OSM data, and used the available data to train a classifier that was used to classify satellite imagery in order to generate data for the regions when OSM data is not available. The encouraging results obtained in the previous efforts motivated the creation of OSM2LULCa FOSS4G aiming to automatically convert OSM data into LULC maps [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance

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et al. 2019

Open geospatial data, softw. stand.

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OSM2LULC is a software package developed to automatically convert OpenStreetMap (OSM) data into Land Use Land Cover (LULC) maps using Free and Open Source Software for Geospatial (FOSS4G) tools. It needs to be highly efficient given the increasing detail of OSM data and the need to apply it to large extent regions. In this article, a comparison between the implementation of OSM2LULC in different available GIS platforms is made using both vector and raster data structures, which resulted in different versions. A description of the differences of each version is made and, to assess their performance, they were applied to four different study areas with different characteristics, in terms of available OSM data and area size. The performance of each version was evaluated taking into account: the overall processing time required to obtain LULC maps; and differences in the results obtained when different data structures (vector and raster) were used. Results showed that the adoption of a strategy that favors interoperability between FOSS4G and the combined use of both vector and raster data promotes a performance increase. After analysing the topological relationships of OSM data, the conversion to raster data format and the execution of procedural parts with such data indicated significant performance gains, without any positional distortions that significantly compromise the applicability of the final result in further case scenarios.

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Section: Introductionmentioning

confidence: 99%

Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance

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Estima

et al. 2019

Open geospatial data, softw. stand.

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“…A pertinent question is to what extent open data can be used to make a graph model for realistic path planning. The example of (Schultz et al, 2017) demonstrates that extensive land cover information can be obtained from OSM when combined with freely available remote sensing data. There are also dedicated public land cover datasets, such as CORINE Land Cover from the European Environment Agency.…”

Section: Discussionmentioning

confidence: 99%

Hierarchical Path Planning for Walking (Almost) Anywhere

Landmark

Messel

2018

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

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Computerized path planning, not constrained to transportation networks, may be useful in a range of settings, from search and rescue to archaeology. This paper develops a method for general path planning intended to work across arbitrary distances and at the level of terrain detail afforded by aerial LiDAR scanning. Relevant information about terrain, trails, roads, and other infrastructure is encoded in a large directed graph. This basal graph is partitioned into strongly connected subgraphs such that the generalized diameter of each subgraphs is constrained by a set value, and with nominally as few subgraphs as possible. This is accomplished using the k-center algorithm adapted with heuristics suitable for large spatial graphs. A simplified graph results, with reduced (but known) position accuracy and complexity. Using a hierarchy of simplified graphs adapted to different length scales, and with careful selection of levels in the hierarchy based on geodesic distance, a shortest path search can be restricted to a small subset of the basal graph. The method is formulated using matrix-graph duality, suitable for linear algebra-oriented software.This contribution has been peer-reviewed. https://doi.org/10.5194/isprs-archives-XLII-4-W8-109-2018 | © Authors 2018. CC BY 4.0 License.

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“…More indepth analysis of the composition of relations is required to better understand the spatial and topological relationships they are trying to represent. Schultz et al [45] conclude that the composition of relations, the spatial relations they represent and the tags associated with the relations could provide opportunities for applications such as the derivation of Land Cover classes from Land User map data. Mainzer et al [46] present a new method to provide local decision makers with tools to assess the remaining (roof-mounted photovoltaic) PV potential within their respective communities.…”

Section: Summary Of Key Findingsmentioning

confidence: 99%

“…In an extensive global analysis, Davidovic et al [30] found that for 40 cities globally there was very often a very low number of tag keys used, with a mean of fewer than 2 (approximately 1.33) additional tags per object for way objects. In Schultz et al [45], the authors consider which tags and relations in OSM can be used to create Land Use and Land Cover (LULC) classes from the Corine Landcover Classes. The authors convert ways and relations into polygons without mentioning specific characteristics of the relations involved.…”

Section: Summary Of Key Findingsmentioning

confidence: 99%

Exploring Data Model Relations in OpenStreetMap

Pruvost

Mooney

2017

Future Internet

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Abstract:The OpenStreetMap (OSM) geographic data model has three principal object types: nodes (points), ways (polygons and polylines), and relations (logical grouping of all three object types to express real-world geographical relationships). While there has been very significant analysis of OSM over the past decade or so, very little research attention has been given to OSM relations. In this paper, we provide an exploratory overview of relations in OSM for four European cities. In this exploration, we undertake analysis of relations to assess their complexity, composition and flexibility within the OSM data model. We show that some of the patterns discovered by researchers related to OSM nodes and ways also exist in relations. We find some other interesting aspects of relations which we believe can act as a catalyst for a more sustained future research effort on relations in OSM. These aspects include: the potential influence of bulk imports of geographical data to OSM, tagging of relations, and contribution patterns of edits to OSM relations.

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Open land cover from OpenStreetMap and remote sensing

Cited by 105 publications

References 38 publications

Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance

Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance

Hierarchical Path Planning for Walking (Almost) Anywhere

Exploring Data Model Relations in OpenStreetMap

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