Updating digital elevation models via change detection and fusion of human and remote sensor data in urban environments

Klonner, Carolin; Barron, Christopher; Neis, Pascal; Höfle, Bernhard

doi:10.1080/17538947.2014.881427

Cited by 23 publications

(14 citation statements)

References 29 publications

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“…Hecht et al, Kunze et al [27,28] and Klonner et al [29] addressed the quality of buildings. They compared OSM building features with data from official sources in Germany or Austria.…”

Section: Introductionmentioning

confidence: 99%

Quality Evaluation of VGI Using Authoritative Data—A Comparison with Land Use Data in Southern Germany

Dorn

Törnros

Zipf

2015

IJGI

119

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Volunteered Geographic Information (VGI) such as data derived from the OpenStreetMap (OSM) project is a popular data source for freely available geographic data. Normally, untrained contributors gather these data. This fact is frequently a cause of concern regarding the quality and usability of such data. In this study, the quality of OSM land use and land cover (LULC) data is investigated for an area in southern Germany. Two spatial data quality elements, thematic accuracy and completeness are addressed by comparing the OSM data with an authoritative German reference dataset. The results show that the kappa value indicates a substantial agreement between the OSM and the authoritative dataset. Nonetheless, for our study region, there are clear variations between the LULC classes. Forest covers a large area and shows both a high OSM completeness (97.6%) and correctness (95.1%). In contrast, farmland also covers a large area, but for this class OSM shows a low completeness value (45.9%) due to unmapped areas. Additionally, the results indicate that a high population density, as present in urbanized areas, seems to denote a higher strength of agreement between OSM and the DLM (Digital Landscape Model). However, a low population density does not necessarily imply a low strength of agreement.

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“…Hecht et al, Kunze et al [27,28] and Klonner et al [29] addressed the quality of buildings. They compared OSM building features with data from official sources in Germany or Austria.…”

Section: Introductionmentioning

confidence: 99%

Quality Evaluation of VGI Using Authoritative Data—A Comparison with Land Use Data in Southern Germany

Dorn

Törnros

Zipf

2015

IJGI

119

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“…For example, several studies have investigated the potential of VGI to support 2D and 3D mapping and characterizing buildings (e.g., [91][92][93][94]), land use and land cover (e.g., [26,[95][96][97]) and for cataloging spatial features, such as small fish ponds near homes [14]. Given the increasing digital engagement of non-expert mappers, and the wikification of geographic information [98], VGI is now enabling users to capture what they perceive as important , both tangible and intangible.…”

Section: Discussionmentioning

confidence: 99%

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Mahabir

Stefanidis

Croitoru

et al. 2017

IJGI

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Abstract:With volunteered geographic information (VGI) platforms such as OpenStreetMap (OSM) becoming increasingly popular, we are faced with the challenge of assessing the quality of their content, in order to better understand its place relative to the authoritative content of more traditional sources. Until now, studies have focused primarily on developed countries, showing that VGI content can match or even surpass the quality of authoritative sources, with very few studies in developing countries. In this paper, we compare the quality of authoritative (data from the Regional Center for Mapping of Resources for Development (RCMRD)) and non-authoritative (data from OSM and Google's Map Maker) road data in conjunction with population data in and around Nairobi, Kenya. Results show variability in coverage between all of these datasets. RCMRD provided the most complete, albeit less current, coverage when taking into account the entire study area, while OSM and Map Maker showed a degradation of coverage as one moves from central Nairobi towards rural areas. Furthermore, OSM had higher content density in large slums, surpassing the authoritative datasets at these locations, while Map Maker showed better coverage in rural housing areas. These results suggest a greater need for a more inclusive approach using VGI to supplement gaps in authoritative data in developing nations.

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“…In that case, automatic 3D building reconstruction could be used for automatically monitoring building stability and the influence of natural phenomenon on the structures (earthquakes, flooding). One of the future aspects could also go towards combination of absolutely new data sources like Volunteered Geographic Information (VGI) and ALS data [103].…”

Section: Prediction Of Future Trendsmentioning

confidence: 99%

Building Extraction from Airborne Laser Scanning Data: An Analysis of the State of the Art

et al. 2015

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Abstract:This article provides an overview of building extraction approaches applied to Airborne Laser Scanning (ALS) data by examining elements used in original publications, such as data set area, accuracy measures, reference data for accuracy assessment, and the use of auxiliary data. We succinctly analyzed the most cited publication for each year between 1998 and 2014, resulting in 54 ISI-indexed articles and 14 non-ISI indexed publications. Based on this, we position some built-in features of ALS to create a comprehensive picture of the state of the art and the progress through the years. Our analyses revealed trends and remaining challenges that impact the community. The results show remaining deficiencies, such as inconsistent accuracy assessment measures, limitations of independent reference data sources for accuracy assessment, relatively few documented applications of the methods to wide area data sets, and the lack of transferability studies and measures. Finally, we predict some future trends and identify some gaps which existing approaches may not exhaustively cover. Despite these deficiencies, this comprehensive literature analysis demonstrates that ALS data is certainly a valuable source of spatial information for building extraction. When taking into account the short civilian history of ALS one can conclude that ALS has become well established in the scientific community and seems to become indispensable in many application fields.

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Updating digital elevation models via change detection and fusion of human and remote sensor data in urban environments

Cited by 23 publications

References 29 publications

Quality Evaluation of VGI Using Authoritative Data—A Comparison with Land Use Data in Southern Germany

Quality Evaluation of VGI Using Authoritative Data—A Comparison with Land Use Data in Southern Germany

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Building Extraction from Airborne Laser Scanning Data: An Analysis of the State of the Art

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