Usability of VGI for validation of land cover maps

Fonte, Cidália C.; Bastin, Lucy; See, Linda; Foody, Giles M.; Lupia, Flavio

doi:10.1080/13658816.2015.1018266

Cited by 97 publications

(65 citation statements)

References 62 publications

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“…A diverse range of approaches exist for quality assessment and control, e.g., [69][70][71], and guidelines for some applications are emerging [72].…”

Section: Quality and Use Of The Data For Researchmentioning

confidence: 99%

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

See

Mooney

Foody

et al. 2016

IJGI

Self Cite

357

235

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Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be variable in terms of key attributes such as format, description and quality. Unsurprisingly, therefore, there are a variety of terms used to describe data arising from citizens. In this article, the expressions used to describe citizen sensing of geographic information are reviewed and their use over time explored, prior to categorizing them and highlighting key issues in the current state of the subject. The latter involved a review of 100 Internet sites with particular focus on their thematic topic, the nature of the data and issues such as incentives for contributors. This review suggests that most sites involve active rather than passive contribution, with citizens typically motivated by the desire to aid a worthy cause, often receiving little training. As such, this article provides a snapshot of the role of citizens in crowdsourcing geographic information and a guide to the current status of this rapidly emerging and evolving subject.

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“…A diverse range of approaches exist for quality assessment and control, e.g., [69][70][71], and guidelines for some applications are emerging [72].…”

Section: Quality and Use Of The Data For Researchmentioning

confidence: 99%

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

See

Mooney

Foody

et al. 2016

IJGI

Self Cite

357

235

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“…Many methods have then been proposed to assess VGI quality; a review can be found in [4][5][6], among others. The quality assessment of VGI POIs is essential as many applications are based on such data, and can be affected by low-quality POIs.…”

Section: Introductionmentioning

confidence: 99%

Assessing Crowdsourced POI Quality: Combining Methods Based on Reference Data, History, and Spatial Relations

Touya¹,

Antoniou²,

Olteanu‐Raimond³

et al. 2017

IJGI

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Abstract:With the development of location-aware devices and the success and high use of Web 2.0 techniques, citizens are able to act as sensors by contributing geographic information. In this context, data quality is an important aspect that should be taken into account when using this source of data for different purposes. The goal of the paper is to analyze the quality of crowdsourced data and to study its evolution over time. We propose two types of approaches: (1) use the intrinsic characteristics of the crowdsourced datasets; or (2) evaluate crowdsourced Points of Interest (POIs) using external datasets (i.e., authoritative reference or other crowdsourced datasets), and two different methods for each approach. The potential of the combination of these approaches is then demonstrated, to overcome the limitations associated with each individual method. In this paper, we focus on POIs and places coming from the very successful crowdsourcing project: OpenStreetMap. The results show that the proposed approaches are complementary in assessing data quality. The positive results obtained for data matching show that the analysis of data quality through automatic data matching is possible but considerable effort and attention are needed for schema matching given the heterogeneity of OSM and the representation of authoritative datasets. For the features studied, it can be noted that change over time is sometimes due to disagreements between contributors, but in most cases the change improves the quality of the data.

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“…Capitalizing on volunteered geographic information is also an active way of collecting large amounts of reference datasets that are based on volunteers using high-resolution satellite images, geo-tagged photographs and OpenStreetMap [29][30][31]. Data will also become available in the near future from the new EU-funded LandSense citizen observatory.…”

Section: Benefitting From Other Data Sourcesmentioning

confidence: 99%

“…More recently, the Geo-Wiki platform has been extended to LACO-Wiki, which is an online land cover and land use validation platform and aims at creating a community around the sharing of reference datasets globally [28]. The possibilities of using other VGI (Volunteered Geographic Information) data sources such as geo-tagged photographs and OpenStreetMap are also being tested for map validation purposes [29][30][31].…”

Section: Independent Map Validation Has Become Commonplacementioning

confidence: 99%

Towards an Integrated Global Land Cover Monitoring and Mapping System

et al. 2016

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Global land cover mapping has evolved in a number of ways over the past two decades including increased activity in the areas of map validation and inter-comparison, which is the main focus of this Special Issue in Remote Sensing. Here we describe the major trends in global land cover mapping that have occurred, followed by recent advances as exemplified by the papers in the Special Issue. Finally, we consider what the future holds for global land cover mapping.Keywords: validation; land cover; land use; data fusion; global land cover mapping; map inter-comparison Trends in Global Land Cover MappingGlobal-scale land cover provides essential information for policy development and scientific applications such as climate modeling, food security, carbon assessment, biodiversity and environmental modeling [1]. Global-scale land cover mapping has therefore been of interest to many researchers over the last two decades. After the initial attempts at producing a global land cover (GLC) map at a one degree resolution using remote sensing [2], a number of different medium-resolution (300-1000 m) GLC maps have been developed [3][4][5][6]. This has, in turn, led to the production of integrated or hybrid maps [7,8], which are based on exploiting the strengths of individual GLC maps. With continued advancements in remote sensing data and technology, more GLC maps are currently being produced. Here we summarize the trends in available GLC maps with respect to spatial, thematic and temporal properties, along with their accuracy assessments and user considerations.In the last five years, at least 14 GLC maps have been produced, which accounts for more than half of the currently available GLC products. Figure 1 summarizes the trends in the production of GLC maps over the last two decades.

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Usability of VGI for validation of land cover maps

Cited by 97 publications

References 62 publications

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

Assessing Crowdsourced POI Quality: Combining Methods Based on Reference Data, History, and Spatial Relations

Towards an Integrated Global Land Cover Monitoring and Mapping System

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