IEEE Geoscience and Remote Sensing Magazine - December 2022 - 150
Geoinformation Harvesting
From Social Media Data
A community remote sensing approach
XIAO XIANG ZHU , YUANYUAN WANG , MRINALINI KOCHUPILLAI ,
MARTIN WERNER , MATTHIAS HÄBERLE, EIKE JENS HOFFMANN ,
HANNES TAUBENBÖCK , DEVIS TUIA , ALEX LEVERING, NATHAN JACOBS ,
ANNA KRUSPE, AND KARAM ABDULAHHAD
A
s unconventional sources of geoinformation, massive
imagery and text messages from open platforms and
social media form a temporally quasi-seamless, spatially
multiperspective stream, but with unknown and diverse
quality. Due to its complementarity to remote sensing (RS)
data, geoinformation from these sources offers promising
perspectives, but harvesting is not trivial due to its data characteristics.
In this article, we address key aspects in the field,
including data availability, analysis-ready data preparation
and data management, geoinformation extraction from social
media text messages and images, and the fusion of social
media and RS data. We then showcase some exemplary geographic
applications. In addition, we present the first extenDigital
Object Identifier 10.1109/MGRS.2022.3219584
Date of current version: 23 January 2023
150 2473-2397/23©2023IEEE
sive discussion of ethical considerations of social media data
in the context of geoinformation harvesting and geographic
applications. With this effort, we wish to stimulate curiosity
and lay the groundwork for researchers who intend to explore
social media data for geoapplications. We encourage
the community to join forces by sharing their code and data.
INTRODUCTION
Geodetically accurate RS data acquired by Earth-observation
(EO) satellites serve as a high-quality reference database for
global geoinformation retrieval. Beyond the temporal resolution
of EO satellites, typically days, the contextual embedding
of space into meanings, perceptions, and dynamic
changes in human settlement due to daily life routines
can only be indirectly assessed by ground-level measurement,
such as social media data. Taking building function
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE DECEMBER 2022
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IEEE Geoscience and Remote Sensing Magazine - December 2022
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