Results 31 to 40 of about 16,225 (193)

Volunteered and crowdsourced geographic information: the OpenStreetMap project

Journal of Spatial Information Science, 2020
Advancements in technology over the last two decades have changed how spatial data are created and used. In particular, in the last decade, volunteered geographic information (VGI), i.e., the crowdsourcing of geographic information, has revolutionized ...
Michela Bertolotto, Gavin McArdle, Bianca Schoen-Phelan   +2 more
doaj   +1 more source

Daten in OpenStreetMap integrieren – ein Leitfaden für Dateninhaber [PDF]

, 2021
Organisationen, die ihre Daten in OpenStreetMap (OSM) integrieren wollen, stehen heute vor der Herausforderung, dass die dafür notwendigen Informationen und Abläufe an vielen verschiedenen Orten und in verschiedenen Formen vorliegen.
Stürmer, Matthias, Hitz-Gamper, Benedikt   +1 more
core   +1 more source

A methodology for automated labelling a geospatial image dataset of applicable locations for installing a wireless nodal seismic system

Компьютерная оптика
A developing area of wireless nodal seismic systems installation rises an urgent problem of identification of applicable areas for mounting wireless seismic modules.
M.Y. Uzdiaev, M.A. Astapova, A.L. Ronzhin, A.I. Saveliev, V.M. Agafonov, G.N. Erokhin, V.A. Nenashev   +6 more
doaj   +1 more source

OpenStreetMap as Space

, 2019
Sarkar and Kay (2019). OpenStreetMap as Space In: Minghini, M., Grinberger, A.Y., Juhász, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019, 19-20. Heidelberg, Germany, September 21-23, 2019.
Sarkar, Dipto, Kay, So Hoi
openaire   +2 more sources

esy-osmfilter – A Python Library to Efficiently Extract OpenStreetMap Data

Journal of Open Research Software, 2020
OpenStreetMap is the largest freely accessible geographic database of the world. The necessary processing steps to extract information from this database, namely reading, converting and filtering, can be very consuming in terms of computational time and ...
Adam Pluta, Ontje Lünsdorf
doaj   +1 more source

Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data

Remote Sensing, 2019
First responders and recovery planners need accurate and quickly derived information about the status of buildings as well as newly built ones to both help victims and to make decisions for reconstruction processes after a disaster. Deep learning and, in
Saman Ghaffarian, Norman Kerle, Edoardo Pasolli, Jamal Jokar Arsanjani   +3 more
doaj   +1 more source

Assessing OpenStreetMap Completeness for Management of Natural Disaster by Means of Remote Sensing: A Case Study of Three Small Island States (Haiti, Dominica and St. Lucia)

Remote Sensing, 2020
Over the last few decades, many countries, especially islands in the Caribbean, have been challenged by the devastating consequences of natural disasters, which pose a significant threat to human health and safety.
Ran Goldblatt, Nicholas Jones, Jenny Mannix   +2 more
doaj   +1 more source

Exploiting the Potential of VGI Metadata to Develop A Data-Driven Framework for Predicting User’s Proficiency in OpenStreetMap Context

ISPRS International Journal of Geo-Information, 2019
Volunteered geographic information (VGI) encourages citizens to contribute geographic data voluntarily that helps to enhance geospatial databases. VGI’s significant limitations are trustworthiness and reliability concerning data quality due to the ...
Gangothri Rajaram, KR Manjula
doaj   +1 more source

OpenStreetMap Infrastructure Mapping and Its Usage on Flood Impact Assessment Using InaSAFE in Surabaya [PDF]

, 2018
OpenStreetMap has become one of the open data sources used for humanitarian purpose in the last decade. This paper focus on mapping process and flood impact assessment using InaSAFE on exposure data in Surabaya provided by OSM. Key infrastructure mapping
Akrimullah, Anjar; Humanitarian OpenStreetMap Team Indonesia, 12820 Tebet, Tebet Timur, Jakarta Selatan, Indonesia, Sima, Biondi Sanda; Humanitarian OpenStreetMap Team Indonesia, 12820 Tebet, Tebet Timur, Jakarta Selatan, Indonesia, Akhadi, Yantisa; Humanitarian OpenStreetMap Team Indonesia, 12820 Tebet, Tebet Timur, Jakarta Selatan, Indonesia   +2 more
core   +1 more source

L'importante ruolo degli open data nelle emergenze

GEOmedia, 2016
The important role of open data in emergencies During emergencies, the geographic information plays a very important and delicate role becoming the main tool to understand what happened and to take decisions.
Maurizio Napolitano
doaj   +2 more sources