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Data Science Workflows for the CANDELA Project

Datcu, Mihai and Dumitru, Corneliu Octavian and Schwarz, Gottfried and Castel, Fabian and Lorenzo, Jose (2019) Data Science Workflows for the CANDELA Project. In: Proceedings of 2019 Big Data from Space (BiDS'19), pp. 19-22. Big Data from Space 2019, 2019-02-19 - 2019-02-21, Munich, Germany. doi: 10.2760/848593.

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Official URL: http://publications.jrc.ec.europa.eu/repository/bitstream/JRC115761/procbids19.pdf

Abstract

This paper describes CANDELA - Copernicus Access Platform Intermediate Layers Small Scale Demonstrator - a general platform for the handling, analysis, and interpretation of Earth observation satellite images, mainly exploiting big data of the European Copernicus Programme. Its workflow allows the selection of satellite images, the generation of local image patch descriptors, the ingestion of image and descriptor data into a common database, the assignment of semantic content labels to image patches, and the search and retrieval of similar content-related image patches.

Item URL in elib:https://elib.dlr.de/130283/
Document Type:Conference or Workshop Item (Speech)
Title:Data Science Workflows for the CANDELA Project
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Datcu, MihaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dumitru, Corneliu OctavianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schwarz, GottfriedUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Castel, FabianATOS FranceUNSPECIFIEDUNSPECIFIED
Lorenzo, JoseATOS Spain SAUNSPECIFIEDUNSPECIFIED
Date:2019
Journal or Publication Title:Proceedings of 2019 Big Data from Space (BiDS'19)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.2760/848593
Page Range:pp. 19-22
Status:Published
Keywords:modelling and analytics Tools, Copernicus data,Earth observation
Event Title:Big Data from Space 2019
Event Location:Munich, Germany
Event Type:international Conference
Event Start Date:19 February 2019
Event End Date:21 February 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Karmakar, Chandrabali
Deposited On:03 Dec 2019 09:49
Last Modified:24 Apr 2024 20:33

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