Results 41 to 50 of about 1,603 (199)

A Volunteered Geographic Information Framework to Enable Bottom-Up Disaster Management Platforms

open access: yesISPRS International Journal of Geo-Information, 2015
Recent disasters, such as the 2010 Haiti earthquake, have drawn attention to the potential role of citizens as active information producers. By using location-aware devices such as smartphones to collect geographic information in the form of geo-tagged ...
Mohammad Ebrahim Poorazizi   +2 more
doaj   +1 more source

The nature of volunteered geographic information [PDF]

open access: yes, 2016
This contribution starts from the assumption that volunteered geographic information is a technological, cultural and scientific innovation.
Cristina Capineri, Capineri, Cristina
core   +1 more source

TOWARDS RULE-GUIDED CLASSIFICATION FOR VOLUNTEERED GEOGRAPHIC INFORMATION [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Crowd-sourcing, especially in form of Volunteered Geographic Information (VGI) significantly changed the way geographic data is collected and the products that are generated from them.
A. Loai Ali   +3 more
doaj   +1 more source

Propagation of Uncertainty for Volunteered Geographic Information in Machine Learning (Short Paper)

open access: yes, 2018
Although crowdsourcing drives much of the interest in Machine Learning (ML) in Geographic Information Science (GIScience), the impact of uncertainty of Volunteered Geographic Information (VGI) on ML has been insufficiently studied.
Sieber, Renee E., Xing, Jin
core   +1 more source

Development of an Algorithm to Evaluate the Quality of Geolocated Addresses in Urban Areas

open access: yesISPRS International Journal of Geo-Information, 2023
The spatial and semantic data of geographic addresses are extremely important for citizens, governments, and companies. The addresses can georeference environmental, economic, security, health, and demographic parameters in urban areas.
Rafael Sierra Requena   +3 more
doaj   +1 more source

Quality Issues in Crowdsourced Mapping: Microtask Aggregation in the Humanitarian OpenStreetMap Team Tasking Manager

open access: yesTransactions in GIS, Volume 30, Issue 3, May 2026.
ABSTRACT In crowdsourcing, dividing work into narrowly defined microtasks may affect the quality of the final product. This study examines this problem in the con text of humanitarian mapping initiatives coordinated using the Humanitarian OpenStreetMap Team Tasking Manager, analyzing 4619 projects and over 1.4 million microtasks. Using a combination of
Héctor Ochoa‐Ortiz   +4 more
wiley   +1 more source

Unpacking the role of volunteered geographic information in disaster management: focus on data quality

open access: yesGeomatics, Natural Hazards & Risk
The increasing occurrence of disasters worldwide has motivated researchers to continuously evaluate potential technological advances to support disaster management (DM) as well as emergency response. The advent of Volunteered Geographic Information (VGI)
Marina Tavra   +3 more
doaj   +1 more source

THE VOLUNTEERED GEOGRAPHIC INFORMATION IN ARCHAEOLOGY [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
The purpose of the paper is to investigate the Volunteered Geographic Information (VGI), which is still at a very early stage, to identify its use worldwide including characteristic examples and research its potential applications in Cultural Heritage ...
S. Sylaiou   +3 more
doaj   +1 more source

Extraction of Pluvial Flood Relevant Volunteered Geographic Information (VGI) by Deep Learning from User Generated Texts and Photos [PDF]

open access: yesISPRS International Journal of Geo-Information, 2018
In recent years, pluvial floods caused by extreme rainfall events have occurred frequently. Especially in urban areas, they lead to serious damages and endanger the citizens’ safety. Therefore, real-time information about such events is desirable.
Yu Feng 0006, Monika Sester
openaire   +2 more sources

Machine Learning Classification of AI‐Generated and Human‐Mapped Buildings in OpenStreetMap Using Morphometric Analysis

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT The proliferation of AI‐generated building footprints in OpenStreetMap (OSM) has transformed crowdsourced mapping, yet the geometric characteristics associated with different digitization methods remain poorly understood. This study presents a comprehensive morphometric analysis of more than 9 million building footprints across 15 ...
Abdulkadir Memduhoğlu
wiley   +1 more source

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