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Earth Observation Data Mining: A Use Case for Forest Monitoring

Dumitru, Corneliu Octavian and Schwarz, Gottfried and Pulak-Siwiec, Anna and Kulawik, Bartosz and Lorenzo, Jose and Datcu, Mihai (2019) Earth Observation Data Mining: A Use Case for Forest Monitoring. IGARSS 2019, 28. Jul. – 2. Aug. 2019, Yokohama, Japan.

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Official URL: https://igarss2019.org/Papers/ViewPapers.asp?PaperNum=1148


The increased number of free and open satellite images has led to new applications of these data. Among them is the systematic classification of land cover/use types based on patterns of settlements or agriculture recorded by satellite imagers, in particular, the identification and quantification of temporal changes. In this paper, we will present guidelines and practical examples of how to obtain reliable image patch classification results based on data mining techniques for detecting possible changes that can appear within a data set. Here, we will focus on a scenario, namely forest monitoring using Earth observation Synthetic Aperture Radar data acquired by Sentinel-1, and multispectral data acquired by Sentinel-2.

Item URL in elib:https://elib.dlr.de/130279/
Document Type:Conference or Workshop Item (Speech)
Title:Earth Observation Data Mining: A Use Case for Forest Monitoring
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dumitru, Corneliu OctavianCorneliu.Dumitru (at) dlr.deUNSPECIFIED
Schwarz, GottfriedGottfried.Schwarz (at) dlr.deUNSPECIFIED
Pulak-Siwiec, AnnaSmallGis , PolandUNSPECIFIED
Kulawik, BartoszSmallGis , PolandUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:31 January 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 5359-5362
Keywords:Data mining, Earth observation, forest monitoring, Copernicus data
Event Title:IGARSS 2019
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:28. Jul. – 2. 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:03 Dec 2019 09:29
Last Modified:04 Dec 2019 13:25

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