A Review of Roads Data Development Methodologies

Data Science Journal

Mikel Maron¹  Alex de Sherbinin³  Taro Ubukawa⁵  Andy Nelson⁶  Karen Payne²  Harlan Onsrud⁷  Olivier Cottray⁴ 

[1] Open Street Map Foundation;Information Technology Outreach Services, University of Georgia;Center for International Earth Science Information Network (CIESIN), Columbia University;Geneva International Centre for Humanitarian Demining;Geospatial Information Authority of Japan;International Rice Research Institute;School of Computing and Information Science, University of Maine

关键词: Knowledge representation model;    Domain ontology;    Semantic mapping;    Reasoning rule;    Evolution tracking;    Materials engineering application;   

DOI  :  10.2481/dsj.14-001

学科分类：计算机科学（综合）

来源: Ubiquity Press Ltd.

【 摘 要 】

References(45)There is a clear need for a public domain data set of road networks with high special accuracy and global coverage for a range of applications. The Global Roads Open Access Data Set (gROADS), version 1, is a first step in that direction. gROADS relies on data from a wide range of sources and was developed using a range of methods. Traditionally, map development was highly centralized and controlled by government agencies due to the high cost or required expertise and technology. In the past decade, however, high resolution satellite imagery and global positioning system (GPS) technologies have come into wide use, and there has been significant innovation in web services, such that a number of new methods to develop geospatial information have emerged, including automated and semi-automated road extraction from satellite/aerial imagery and crowdsourcing. In this paper we review the data sources, methods, and pros and cons of a range of road data development methods: heads-up digitizing, automated/semi-automated extraction from remote sensing imagery, GPS technology, crowdsourcing, and compiling existing data sets. We also consider the implications for each method in the production of open data.

【 授权许可】

Unknown