Home // GEOProcessing 2022, The Fourteenth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article
Authors:
Clóvis Santos Júnior
Carina F. Dorneles
Keywords: Georeferencing, data enrichment, environment, extraction web data, environmental retrieve information
Abstract:
Data enrichment uses resources to fill gaps in customer data sets, enterprise systems, marketing, product sales, and related applications. Environmental applications have the potential to be enriched by aggregating georeferenced data from external sources. The data available on the Web might be a viable alternative to support data enrichment. Usually, this process is done manually, at a high cost of time and human resources. In this context, georeferenced data enrichment using external datasets is a viable and available resource that can be used to reduce financial costs and improve the geographic localization process, which directly depends on appropriate hardware, such as GPS devices and human availability for data collection. This paper presents two main contributions: (i) a data extraction process, which enriches georeferences in a specific application; and (ii) a data enrichment process, which indicates potential risks in environmental areas with potential soil degradation problems. We validate the extracted data from the Web, using these data in an application to verify the distance between areas classified as degraded and possible points of interest in or near urban areas. Finally, it is essential to point out that the research has an interdisciplinary essence involving information systems and the environment, collaborating with both domains.
Pages: 31 to 35
Copyright: Copyright (c) IARIA, 2022
Publication date: June 26, 2022
Published in: conference
ISSN: 2308-393X
ISBN: 978-1-61208-983-6
Location: Porto, Portugal
Dates: from June 26, 2022 to June 30, 2022