Validating land cover maps with Degree Confluence Project information

Iwao, Koki; Nishida, Kenlo; Kinoshita, Tsuguki; Yamagata, Yoshiki

doi:10.1029/2006gl027768

Cited by 68 publications

(73 citation statements)

References 9 publications

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“…Strahler, 2006) but many land cover datasets are not validated using these protocols (Foody, 2002). The Geo-Wiki approach offers great potential to contribute to land cover validation (Iwao et al, 2006;Fritz et al, 2012). producer's accuracies.…”

Section: Background: Geo-wiki and Land Cover Accuracymentioning

confidence: 99%

Using control data to determine the reliability of volunteered geographic information about land cover

Comber

See

Velde

et al. 2013

International Journal of Applied Earth Observation and Geoinfor

118

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There is much interest in using volunteered geographic information (VGI) in formal scientific analyses. This analysis uses VGI describing land cover that was captured using a web-based interface, linked to Google Earth. A number of control points, for which the land cover had been determined by experts allowed measures of the reliability of each volunteer in relation to each land cover class to be calculated. Geographically weighted kernels were used to estimate surfaces of volunteered land cover information accuracy and then to develop spatially distributed correspondences between the volunteer land cover class and land cover from 3 contemporary global datasets (GLC-2000, GlobCover and MODIS v.5). Specifically, a geographically weighted approach calculated local confusion matrices (correspondences) at each location in a central African study area and generated spatial distributions of user's, producer's, portmanteau, and partial portmanteau accuracies. These were used to evaluate the global datasets and to infer which of them was 'best' at describing Tree cover at each location in the study area. The resulting maps show where specific global datasets are recommended for analyses requiring Tree cover information. The methods presented in this research suggest that some of the concerns about the quality of VGI can be addressed through careful data collection, the use of control points to evaluate volunteer performance and spatially explicit analyses. A research agenda for the use and analysis of VGI about land cover is outlined.

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Section: Background: Geo-wiki and Land Cover Accuracymentioning

confidence: 99%

Using control data to determine the reliability of volunteered geographic information about land cover

Comber

See

Velde

et al. 2013

International Journal of Applied Earth Observation and Geoinfor

118

View full text Add to dashboard Cite

show abstract

“…It has been shown that the photographs and description of the confluence points can be a valuable resource for land cover validation exercises and accuracy assessments. Recently an accuracy assessment based on the confluence project has been carried out for the GLC-2000 and MODIS maps and for two older global land cover products: the Global land cover of the University of Maryland (UMD) and the Global land cover characteristics database (GLCCD) [22].…”

Section: Visualizing Baseline Data Confluence Points and Panoramiomentioning

confidence: 99%

“…The use of the confluence points (www.confluence.org) for land cover validation [22] has demonstrated that pictures are a very valuable resource for validation activities related to land cover. We have therefore implemented the option for each validation which is undertaken for the three different land cover products to be complemented by pictures.…”

Section: Supporting Picture Validationmentioning

confidence: 99%

Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover

et al. 2009

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Global land cover is one of the essential terrestrial baseline datasets available for ecosystem modeling, however uncertainty remains an issue. Tools such as Google Earth offer enormous potential for land cover validation. With an ever increasing amount of very fine spatial resolution images (up to 50 cm × 50 cm) available on Google Earth, it is becoming possible for every Internet user (including non remote sensing experts) to distinguish land cover features with a high degree of reliability. Such an approach is inexpensive and allows Internet users from any region of the world to get involved in this global validation exercise. The Geo-Wiki Project is a global network of volunteers who wish to help improve the quality of global land cover maps. Since large differences occur between existing global land cover maps, current ecosystem and land-use science lacks crucial accurate data (e.g., to determine the potential of additional agricultural land available to grow crops in Africa), volunteers are asked to review hotspot maps of global land cover disagreement and determine, based on what they actually see in Google Earth and their local knowledge, if the land cover maps are correct or incorrect. Their input is recorded in a OPEN ACCESS Remote Sens. 2009, 1 346 database, along with uploaded photos, to be used in the future for the creation of a new and improved hybrid global land cover map.

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“…However, new approaches such as crowdsourcing (citizen observatories) have indicated that the collection of large collections of ground information is now feasible (Schuurman 2009;Heipke 2010;Goodchild 2007). Recent efforts have shown the potential to use citizen observed data to validate land cover maps (Iwao et al 2006;Fritz et al 2009). Similar efforts have the potential to provide the input to enhance our characterization of landscape structure information at larger scales.…”

Section: Ways Forwardmentioning

confidence: 99%

The representation of landscapes in global scale assessments of environmental change

Verburg¹,

Asselen²,

Zanden³

et al. 2012

Landscape Ecol

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Landscape ecology has provided valuable insights in the relations between spatial structure and the functioning of landscapes. However, in most global scale environmental assessments the representation of landscapes is reduced to the dominant land cover within a 0.5 degree pixel, disregarding the insights about the role of structure, pattern and composition for the functioning of the landscape. This paper discusses the contributions landscape ecology can make to global scale environmental assessments. It proposes new directions for representing landscape characteristics at broad spatial scales. A contribution of landscape ecologists to the representation of landscape characteristics in global scale assessments will foster improved information and assessments for the design of sustainable earth system governance strategies.

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Validating land cover maps with Degree Confluence Project information

Cited by 68 publications

References 9 publications

Using control data to determine the reliability of volunteered geographic information about land cover

Using control data to determine the reliability of volunteered geographic information about land cover

Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover

The representation of landscapes in global scale assessments of environmental change

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