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An Interactive Visual Analytics Tool for Big Earth Observation Data Content Estimation

Faur, Daniela and Griparis, Andreea and Stoica, Adrian and Mougnaud, Philippe and Datcu, Mihai (2019) An Interactive Visual Analytics Tool for Big Earth Observation Data Content Estimation. IGARSS 2019, 28 Jul-02 Aug 2019, Yokohama, Japan.

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Official URL: https://igarss2019.org/Papers/ViewPapers_MS.asp?PaperNum=4884


This paper introduces a tool designed to provide an innovative and insightful way of exploring Earth observation data content beyond visualization, by addressing a visual analytics process. The considered framework combines machine learning and visualization techniques, empowered through human interaction, to gain knowledge from the data. The proposed tool- eVADE leverages the methodologies developed in the fields of information retrieval, data mining and knowledge representation by the means of a visual analytics component. eVADE increases users capability to understand and extract meaningful semantic clusters together with quantitative measurements, presented in a suggestive visual way.

Item URL in elib:https://elib.dlr.de/130548/
Document Type:Conference or Workshop Item (Speech)
Title:An Interactive Visual Analytics Tool for Big Earth Observation Data Content Estimation
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Faur, DanielaPolitehnica University of Bucharest, RomaniaUNSPECIFIED
Griparis, AndreeaPolitehnica University of Bucharest, RomaniaUNSPECIFIED
Mougnaud, PhilippeEuropean Space Agency (ESA), ItalyUNSPECIFIED
Datcu, MihaiGerman Aerospace Center (DLR) / Politehnica University of Bucharest, RomaniaUNSPECIFIED
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:visual analytics, data visualization, quantitative measurements, Earth observation data content
Event Title:IGARSS 2019
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:28 Jul-02 Aug 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Karmakar, Chandrabali
Deposited On:04 Dec 2019 14:37
Last Modified:04 Dec 2019 14:37

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