Mapping the World – A New Approach for Volunteered Geographic Information in the Cloud

Moeller, Matthias; Furhmann, S.

doi:10.5194/isprsarchives-xl-6-w1-9-2015

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…Over the last few years, an increase in mapping and exploitation of OSM data has been associated with humanitarian applications in the less developed countries of the world, which were typically absent or underrepresented in OSM [18]. This is a result of the efforts of the Humanitarian OpenStreetMap Team (HOT), an international, nonprofit organization leading the collaborative mapping in OSM when a disaster strikes anywhere in the world.…”

Section: Humanitarian Applications Of Osmmentioning

confidence: 99%

“…The aim is to add 200 M addresses to the OSM world map in two years via numerous mapathons held around the world. The OpenStreetMap Haiti project, which focused on the remote mapping of Haiti after the earthquake, is presented by Shemak [27], while Moeller and Furhmann [18] describe the mapathons organized by the American Red Cross and HOT (both partners of MM) to fight the 2014 Ebola outbreak in Western Africa. Ebrahim et al [21] describe an experience of humanitarian mapathon for Swaziland co-organized with HOT and MM and performed by 200 10-year old children.…”

Section: Humanitarian Applications Of Osmmentioning

confidence: 99%

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Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30

Fonte

Minghini

Patriarca

et al. 2017

IJGI

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Abstract:With the opening up of the Landsat archive, global high resolution land cover maps have begun to appear. However, they often have only a small number of high level land cover classes and they are static products, corresponding to a particular period of time, e.g., the GlobeLand30 (GL30) map for 2010. The OpenStreetMap (OSM), in contrast, consists of a very detailed, dynamically updated, spatial database of mapped features from around the world, but it suffers from incomplete coverage, and layers of overlapping features that are tagged in a variety of ways. However, it clearly has potential for land use and land cover (LULC) mapping. Thus the aim of this paper is to demonstrate how the OSM can be converted into a LULC map and how this OSM-derived LULC map can then be used to first update the GL30 with more recent information and secondly, enhance the information content of the classes. The technique is demonstrated on two study areas where there is availability of OSM data but in locations where authoritative data are lacking, i.e., Kathmandu, Nepal and Dar es Salaam, Tanzania. The GL30 and its updated and enhanced versions are independently validated using a stratified random sample so that the three maps can be compared. The results show that the updated version of GL30 improves in terms of overall accuracy since certain classes were not captured well in the original GL30 (e.g., water in Kathmandu and water/wetlands in Dar es Salaam). In contrast, the enhanced GL30, which contains more detailed urban classes, results in a drop in the overall accuracy, possibly due to the increased number of classes, but the advantages include the appearance of more detailed features, such as the road network, that becomes clearly visible.

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Section: Humanitarian Applications Of Osmmentioning

confidence: 99%

Section: Humanitarian Applications Of Osmmentioning

confidence: 99%

Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30

Fonte

Minghini

Patriarca

et al. 2017

IJGI

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“…These include Google's Local Guide program and Facebook's community of Place Editors. Non-profit mapping communities (e.g., the Humanitarian OpenStreetMap Team and local participatory mapping organizations) also collect, maintain, and share their place-based information, including toponyms [10,11]. A different strategy would be to encourage citizens to become toponymists, using their attachment to the places and their ability to share knowledge on toponyms.…”

Section: Introduction and Research Objectivesmentioning

confidence: 99%

Eliciting Knowledge on Technical and Legal Aspects of Participatory Toponym Handling

Perdana

Ostermann

2019

IJGI

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There has been increased collaboration between citizens and scientists to achieve common goals in scientific or geographic data collection, analysis, and reporting. Geospatial technology is leveraging the power of citizens in such efforts. Governments have been exploring participatory approaches. This situation should be balanced by sharing knowledge and collaborative learning between stakeholders involved in the participatory activity. Training and education are enhanced by providing guidelines, sharing best practices, and developing toolkits. For toponym handling, a generic framework and capacity building are needed to increase public awareness and enable citizen toponymists. This paper addresses issues around citizen involvement in increasing toponymic knowledge through citizen science and geospatial capacity building. First, we examined the current practice of toponym handling and developed a generic framework. We then used stakeholder feedback and other resources to modify the framework for Indonesian use. Second, we conducted collaborative learning to share information and bridge the knowledge gaps among multiple stakeholders. Third, we applied insights and lessons learned from these activities to develop ideas, suggestions, and action plans to implement participatory toponym handling in Indonesia.

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Needs, drivers, participants and engagement actions: a framework for motivating contributions to volunteered geographic information systems

2019

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Mapping the World – A New Approach for Volunteered Geographic Information in the Cloud

Cited by 3 publications

References 2 publications

Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30

Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30

Eliciting Knowledge on Technical and Legal Aspects of Participatory Toponym Handling

Needs, drivers, participants and engagement actions: a framework for motivating contributions to volunteered geographic information systems

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